This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

This book presents the main results of the 19th Latin American Congress of Automatic Control held in November 2022 in Havana, Cuba. The Congress showed several main research results obtained by researchers from diverse countries in the last four years.Of the papers sent to Congress, 28 were finally accepted for presentation after a rigorous analysis of scientific novelty and quality. For their presentation in this book, the papers were divided into 5 major sections that appear in the following order:Part 1. Robust and Nonlinear ControlThe main research topics addressed in this part are related to fault-tolerant control loops, control by sliding modes, and robust tuning of PID controllers. Examples of electrical motors and chemical processes are used to demonstrate the feasibility of using the proposed techniques.Part 2. Fault Diagnosis in Industrial SystemsFault diagnosis in industrial plants is a very important topic in the Industry 4.0 paradigm.In this part, new techniques of fault diagnosis in mechanical systems using Poincaré features; a real case study for predicting the time of the remaining job cycle at a water treatment plant; and a predictive fault diagnosis for isolated photovoltaic systems are presented. A novel methodology for detecting and locating cyber-attacks in water distribution networks using computational intelligence tools is also presented.Part 3. Robotic and Autonomous SystemsNew control strategies for path following for autonomous tractors and unmanned aquatic vehicles are analyzed in this part. Moreover, the important topic related to the battery health-aware model predictive control planning for autonomous racing vehicles and the use of robots for monitoring and remediation applications are examined.Part 4. Modeling, Identification, and Delayed SystemsA model-based methodology for the efficient selection of centrifugal pumps; the use of probabilistic Boolean networks in smart grid models; the utilization of PSO metaheuristic algorithm in the selection of a model structure; and two schemes to control high-order delayed systems are among the main topics examined in this part.Part 5. Low-Cost Systems and Biomedical ApplicationsIn this part, some applications of low-cost monitoring and control systems and two automatic systems used for the characterization of creatinine in wastes samples during hemodialysis process and differential acquisition of blood pressure are shown.

This book presents the main results of the 19th Latin American Congress of Automatic Control held in November 2022 in Havana, Cuba. The Congress showed several main research results obtained by researchers from diverse countries in the last four years.

Of the papers sent to Congress, 28 were finally accepted for presentation after a rigorous analysis of scientific novelty and quality. For their presentation in this book, the papers were divided into 5 major sections that appear in the following order:

Part 1. Robust and Nonlinear Control

The main research topics addressed in this part are related to fault-tolerant control loops, control by sliding modes, and robust tuning of PID controllers. Examples of electrical motors and chemical processes are used to demonstrate the feasibility of using the proposed techniques.

Part 2. Fault Diagnosis in Industrial Systems

Fault diagnosis in industrial plants is a very important topic in the Industry 4.0 paradigm.In this part, new techniques of fault diagnosis in mechanical systems using Poincaré features; a real case study for predicting the time of the remaining job cycle at a water treatment plant; and a predictive fault diagnosis for isolated photovoltaic systems are presented. A novel methodology for detecting and locating cyber-attacks in water distribution networks using computational intelligence tools is also presented.

Part 3. Robotic and Autonomous Systems

New control strategies for path following for autonomous tractors and unmanned aquatic vehicles are analyzed in this part. Moreover, the important topic related to the battery health-aware model predictive control planning for autonomous racing vehicles and the use of robots for monitoring and remediation applications are examined.

Part 4. Modeling, Identification, and Delayed Systems

A model-based methodology for the efficient selection of centrifugal pumps; the use of probabilistic Boolean networks in smart grid models; the utilization of PSO metaheuristic algorithm in the selection of a model structure; and two schemes to control high-order delayed systems are among the main topics examined in this part.

Part 5. Low-Cost Systems and Biomedical Applications

In this part, some applications of low-cost monitoring and control systems and two automatic systems used for the characterization of creatinine in wastes samples during hemodialysis process and differential acquisition of blood pressure are shown.

This book presents the main results of the 19th Latin American Congress of Automatic Control held in November 2022 in Havana, Cuba. The Congress showed several main research results obtained by researchers from diverse countries in the last four years.Of the papers sent to Congress, 28 were finally accepted for presentation after a rigorous analysis of scientific novelty and quality. For their presentation in this book, the papers were divided into 5 major sections that appear in the following order:Part 1. Robust and Nonlinear ControlThe main research topics addressed in this part are related to fault-tolerant control loops, control by sliding modes, and robust tuning of PID controllers. Examples of electrical motors and chemical processes are used to demonstrate the feasibility of using the proposed techniques.Part 2. Fault Diagnosis in Industrial SystemsFault diagnosis in industrial plants is a very important topic in the Industry 4.0 paradigm.In this part, new techniques of fault diagnosis in mechanical systems using Poincaré features; a real case study for predicting the time of the remaining job cycle at a water treatment plant; and a predictive fault diagnosis for isolated photovoltaic systems are presented. A novel methodology for detecting and locating cyber-attacks in water distribution networks using computational intelligence tools is also presented.Part 3. Robotic and Autonomous SystemsNew control strategies for path following for autonomous tractors and unmanned aquatic vehicles are analyzed in this part. Moreover, the important topic related to the battery health-aware model predictive control planning for autonomous racing vehicles and the use of robots for monitoring and remediation applications are examined.Part 4. Modeling, Identification, and Delayed SystemsA model-based methodology for the efficient selection of centrifugal pumps; the use of probabilistic Boolean networks in smart grid models; the utilization of PSO metaheuristic algorithm in the selection of a model structure; and two schemes to control high-order delayed systems are among the main topics examined in this part.Part 5. Low-Cost Systems and Biomedical ApplicationsIn this part, some applications of low-cost monitoring and control systems and two automatic systems used for the characterization of creatinine in wastes samples during hemodialysis process and differential acquisition of blood pressure are shown.

This book presents recent advances in food sciences, with a focus on process innovation, food safety, value chains, and resource efficiency. Featuring a diverse range of case studies on the agro-industrial value chain, it offers scientifically rigorous insights into real-world applications. Based on the 9th International Congress on Agro-industrial Engineering (CIIA 2023), held in Mexico, this volume serves as a valuable reference for academics and professionals in agroindustry.

This book presents recent advances in food sciences, with a focus on process innovation, food safety, value chains, and resource efficiency. Featuring a diverse range of case studies on the agro-industrial value chain, it offers scientifically rigorous insights into real-world applications. Based on the 9th International Congress on Agro-industrial Engineering (CIIA 2023), held in Mexico, this volume serves as a valuable reference for academics and professionals in agroindustry.

This book showcases the latest innovations in architecture and engineering, featuring research and case studies presented at the 21st International Scientific Conference on Engineering and Architecture (CCIA 2024) in Havana, Cuba. It covers a wide range of topics, including control systems, communications, computer technologies, industrial applications, business management, construction advancements, and sustainable energy solutions. Combining theoretical insights and practical studies, this volume offers valuable perspectives for both academics and professionals looking to tackle the challenges of today's rapidly evolving fields.

This book showcases the latest innovations in architecture and engineering, featuring research and case studies presented at the 21st International Scientific Conference on Engineering and Architecture (CCIA 2024) in Havana, Cuba. It covers a wide range of topics, including control systems, communications, computer technologies, industrial applications, business management, construction advancements, and sustainable energy solutions. Combining theoretical insights and practical studies, this volume offers valuable perspectives for both academics and professionals looking to tackle the challenges of today's rapidly evolving fields.

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures.

 

This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.

This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

This book presents the main results of the 19th Latin American Congress of Automatic Control held in November 2022 in Havana, Cuba. The Congress showed several main research results obtained by researchers from diverse countries in the last four years.Of the papers sent to Congress, 28 were finally accepted for presentation after a rigorous analysis of scientific novelty and quality. For their presentation in this book, the papers were divided into 5 major sections that appear in the following order:Part 1. Robust and Nonlinear ControlThe main research topics addressed in this part are related to fault-tolerant control loops, control by sliding modes, and robust tuning of PID controllers. Examples of electrical motors and chemical processes are used to demonstrate the feasibility of using the proposed techniques.Part 2. Fault Diagnosis in Industrial SystemsFault diagnosis in industrial plants is a very important topic in the Industry 4.0 paradigm.In this part, new techniques of fault diagnosis in mechanical systems using Poincaré features; a real case study for predicting the time of the remaining job cycle at a water treatment plant; and a predictive fault diagnosis for isolated photovoltaic systems are presented. A novel methodology for detecting and locating cyber-attacks in water distribution networks using computational intelligence tools is also presented.Part 3. Robotic and Autonomous SystemsNew control strategies for path following for autonomous tractors and unmanned aquatic vehicles are analyzed in this part. Moreover, the important topic related to the battery health-aware model predictive control planning for autonomous racing vehicles and the use of robots for monitoring and remediation applications are examined.Part 4. Modeling, Identification, and Delayed SystemsA model-based methodology for the efficient selection of centrifugal pumps; the use of probabilistic Boolean networks in smart grid models; the utilization of PSO metaheuristic algorithm in the selection of a model structure; and two schemes to control high-order delayed systems are among the main topics examined in this part.Part 5. Low-Cost Systems and Biomedical ApplicationsIn this part, some applications of low-cost monitoring and control systems and two automatic systems used for the characterization of creatinine in wastes samples during hemodialysis process and differential acquisition of blood pressure are shown.

This book presents the main results of the 19th Latin American Congress of Automatic Control held in November 2022 in Havana, Cuba. The Congress showed several main research results obtained by researchers from diverse countries in the last four years.

Of the papers sent to Congress, 28 were finally accepted for presentation after a rigorous analysis of scientific novelty and quality. For their presentation in this book, the papers were divided into 5 major sections that appear in the following order:

Part 1. Robust and Nonlinear Control

The main research topics addressed in this part are related to fault-tolerant control loops, control by sliding modes, and robust tuning of PID controllers. Examples of electrical motors and chemical processes are used to demonstrate the feasibility of using the proposed techniques.

Part 2. Fault Diagnosis in Industrial Systems

Fault diagnosis in industrial plants is a very important topic in the Industry 4.0 paradigm.In this part, new techniques of fault diagnosis in mechanical systems using Poincaré features; a real case study for predicting the time of the remaining job cycle at a water treatment plant; and a predictive fault diagnosis for isolated photovoltaic systems are presented. A novel methodology for detecting and locating cyber-attacks in water distribution networks using computational intelligence tools is also presented.

Part 3. Robotic and Autonomous Systems

New control strategies for path following for autonomous tractors and unmanned aquatic vehicles are analyzed in this part. Moreover, the important topic related to the battery health-aware model predictive control planning for autonomous racing vehicles and the use of robots for monitoring and remediation applications are examined.

Part 4. Modeling, Identification, and Delayed Systems

A model-based methodology for the efficient selection of centrifugal pumps; the use of probabilistic Boolean networks in smart grid models; the utilization of PSO metaheuristic algorithm in the selection of a model structure; and two schemes to control high-order delayed systems are among the main topics examined in this part.

Part 5. Low-Cost Systems and Biomedical Applications

In this part, some applications of low-cost monitoring and control systems and two automatic systems used for the characterization of creatinine in wastes samples during hemodialysis process and differential acquisition of blood pressure are shown.

This book presents the main results of the 19th Latin American Congress of Automatic Control held in November 2022 in Havana, Cuba. The Congress showed several main research results obtained by researchers from diverse countries in the last four years.Of the papers sent to Congress, 28 were finally accepted for presentation after a rigorous analysis of scientific novelty and quality. For their presentation in this book, the papers were divided into 5 major sections that appear in the following order:Part 1. Robust and Nonlinear ControlThe main research topics addressed in this part are related to fault-tolerant control loops, control by sliding modes, and robust tuning of PID controllers. Examples of electrical motors and chemical processes are used to demonstrate the feasibility of using the proposed techniques.Part 2. Fault Diagnosis in Industrial SystemsFault diagnosis in industrial plants is a very important topic in the Industry 4.0 paradigm.In this part, new techniques of fault diagnosis in mechanical systems using Poincaré features; a real case study for predicting the time of the remaining job cycle at a water treatment plant; and a predictive fault diagnosis for isolated photovoltaic systems are presented. A novel methodology for detecting and locating cyber-attacks in water distribution networks using computational intelligence tools is also presented.Part 3. Robotic and Autonomous SystemsNew control strategies for path following for autonomous tractors and unmanned aquatic vehicles are analyzed in this part. Moreover, the important topic related to the battery health-aware model predictive control planning for autonomous racing vehicles and the use of robots for monitoring and remediation applications are examined.Part 4. Modeling, Identification, and Delayed SystemsA model-based methodology for the efficient selection of centrifugal pumps; the use of probabilistic Boolean networks in smart grid models; the utilization of PSO metaheuristic algorithm in the selection of a model structure; and two schemes to control high-order delayed systems are among the main topics examined in this part.Part 5. Low-Cost Systems and Biomedical ApplicationsIn this part, some applications of low-cost monitoring and control systems and two automatic systems used for the characterization of creatinine in wastes samples during hemodialysis process and differential acquisition of blood pressure are shown.

This book presents recent advances in food sciences, with a focus on process innovation, food safety, value chains, and resource efficiency. Featuring a diverse range of case studies on the agro-industrial value chain, it offers scientifically rigorous insights into real-world applications. Based on the 9th International Congress on Agro-industrial Engineering (CIIA 2023), held in Mexico, this volume serves as a valuable reference for academics and professionals in agroindustry.

This book presents recent advances in food sciences, with a focus on process innovation, food safety, value chains, and resource efficiency. Featuring a diverse range of case studies on the agro-industrial value chain, it offers scientifically rigorous insights into real-world applications. Based on the 9th International Congress on Agro-industrial Engineering (CIIA 2023), held in Mexico, this volume serves as a valuable reference for academics and professionals in agroindustry.

This book showcases the latest innovations in architecture and engineering, featuring research and case studies presented at the 21st International Scientific Conference on Engineering and Architecture (CCIA 2024) in Havana, Cuba. It covers a wide range of topics, including control systems, communications, computer technologies, industrial applications, business management, construction advancements, and sustainable energy solutions. Combining theoretical insights and practical studies, this volume offers valuable perspectives for both academics and professionals looking to tackle the challenges of today's rapidly evolving fields.

This book showcases the latest innovations in architecture and engineering, featuring research and case studies presented at the 21st International Scientific Conference on Engineering and Architecture (CCIA 2024) in Havana, Cuba. It covers a wide range of topics, including control systems, communications, computer technologies, industrial applications, business management, construction advancements, and sustainable energy solutions. Combining theoretical insights and practical studies, this volume offers valuable perspectives for both academics and professionals looking to tackle the challenges of today's rapidly evolving fields.

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures.

 

This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.