Olfa Boubaker – författare

Recent Advances in Chaotic Systems and Synchronization: From Theory to Real World Applications is a major reference for scientists and engineers interested in applying new computational and mathematical tools for solving complex problems related to modeling, analyzing and synchronizing chaotic systems. Furthermore, it offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory and nonlinear systems from 19 countries (Cameroon, China, Ethiopia, France, Greece, India, Italia, Iran, Japan, Mexico, and more), this book covers the latest advances in chaos theory, along with the efficiency of novel synchronization approaches.

Readers will find the fundamentals and algorithms related to the analysis and synchronization of chaotic systems, along with key applications, including electronic design, text and image encryption, and robot control and tracking.

Explores and evaluates the latest real-world applications of chaos across various engineering and biomedical engineering fields Investigates advances in chaos synchronization techniques, including the continuous sliding-mode control approach, hybrid synchronization between chaotic and hyperchaotic systems, and neural network synchronization Presents recent advances in chaotic systems through an overview of new systems and new proprieties

Recent Advances in Chaotic Systems and Synchronization: From Theory to Real World Applications is a major reference for scientists and engineers interested in applying new computational and mathematical tools for solving complex problems related to modeling, analyzing and synchronizing chaotic systems. Furthermore, it offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory and nonlinear systems from 19 countries (Cameroon, China, Ethiopia, France, Greece, India, Italia, Iran, Japan, Mexico, and more), this book covers the latest advances in chaos theory, along with the efficiency of novel synchronization approaches.Readers will find the fundamentals and algorithms related to the analysis and synchronization of chaotic systems, along with key applications, including electronic design, text and image encryption, and robot control and tracking.- Explores and evaluates the latest real-world applications of chaos across various engineering and biomedical engineering fields- Investigates advances in chaos synchronization techniques, including the continuous sliding-mode control approach, hybrid synchronization between chaotic and hyperchaotic systems, and neural network synchronization- Presents recent advances in chaotic systems through an overview of new systems and new proprieties

New Trends in Observer-Based Control: A Practical Guide to Process and Engineering Applications presents a concise introduction to the latest advances in observer-based control design. The book gives a comprehensive tutorial on new trends in the design of observer-based controllers for which the separation principle is well established. It covers a wide range of applications, also including worked examples that make it ideal for both advanced courses and researchers starting work in the field. This book is also particularly suitable for engineers who want to quickly and efficiently enter the field.

Presents a clear-and-concise introduction to the latest advances in observer-based control design Offers content on many facets of observer-based control design Discusses key applications in the fields of power systems, robotics and mechatronics, flight and automotive systems

New Trends in Observer-Based Control: A Practical Guide to Process and Engineering Applications presents a concise introduction to the latest advances in observer-based control design. The book gives a comprehensive tutorial on new trends in the design of observer-based controllers for which the separation principle is well established. It covers a wide range of applications, also including worked examples that make it ideal for both advanced courses and researchers starting work in the field. This book is also particularly suitable for engineers who want to quickly and efficiently enter the field.- Presents a clear-and-concise introduction to the latest advances in observer-based control design- Offers content on many facets of observer-based control design- Discusses key applications in the fields of power systems, robotics and mechatronics, flight and automotive systems

New Trends in Observer-Based Control: An Introduction to Design Approaches and Engineering Applications, Volume One presents a clear-and-concise introduction to the latest advances in observer-based control design. It provides a comprehensive tutorial on new trends in the design of observer-based controllers for which the separation principle is well established. In addition, since the theoretical developments remain more advanced than the engineering applications, more experimental results are still needed. A wide range of applications are covered, and the book contains worked examples which make it ideal for both advanced courses and researchers starting in the field.

Presents a clear-and-concise introduction to the latest advances in observer-based control design Offers concise content on the many facets of observer-based control design Discusses key applications in the fields of power systems, robotics and mechatronics, and flight and automotive systems

New Trends in Observer-Based Control: An Introduction to Design Approaches and Engineering Applications, Volume One presents a clear-and-concise introduction to the latest advances in observer-based control design. It provides a comprehensive tutorial on new trends in the design of observer-based controllers for which the separation principle is well established. In addition, since the theoretical developments remain more advanced than the engineering applications, more experimental results are still needed. A wide range of applications are covered, and the book contains worked examples which make it ideal for both advanced courses and researchers starting in the field.- Presents a clear-and-concise introduction to the latest advances in observer-based control design- Offers concise content on the many facets of observer-based control design- Discusses key applications in the fields of power systems, robotics and mechatronics, and flight and automotive systems

Control Theory in Biomedical Engineering: Applications in Physiology and Medical Robotics highlights the importance of control theory and feedback control in our lives and explains how this theory is central to future medical developments. Control theory is fundamental for understanding feedback paths in physiological systems (endocrine system, immune system, neurological system) and a concept for building artificial organs. The book is suitable for graduate students and researchers in the control engineering and biomedical engineering fields, and medical students and practitioners seeking to enhance their understanding of physiological processes, medical robotics (legs, hands, knees), and controlling artificial devices (pacemakers, insulin injection devices).Control theory profoundly impacts the everyday lives of a large part of the human population including the disabled and the elderly who use assistive and rehabilitation robots for improving the quality of their lives and increasing their independence. Gives an overview of state-of-the-art control theory in physiology, emphasizing the importance of this theory in the medical field through concrete examples, e.g., endocrine, immune, and neurological systems Takes a comprehensive look at advances in medical robotics and rehabilitation devices and presents case studies focusing on their feedback control Presents the significance of control theory in the pervasiveness of medical robots in surgery, exploration, diagnosis, therapy, and rehabilitation

Control Theory in Biomedical Engineering: Applications in Physiology and Medical Robotics highlights the importance of control theory and feedback control in our lives and explains how this theory is central to future medical developments. Control theory is fundamental for understanding feedback paths in physiological systems (endocrine system, immune system, neurological system) and a concept for building artificial organs. The book is suitable for graduate students and researchers in the control engineering and biomedical engineering fields, and medical students and practitioners seeking to enhance their understanding of physiological processes, medical robotics (legs, hands, knees), and controlling artificial devices (pacemakers, insulin injection devices).Control theory profoundly impacts the everyday lives of a large part of the human population including the disabled and the elderly who use assistive and rehabilitation robots for improving the quality of their lives and increasing their independence.- Gives an overview of state-of-the-art control theory in physiology, emphasizing the importance of this theory in the medical field through concrete examples, e.g., endocrine, immune, and neurological systems- Takes a comprehensive look at advances in medical robotics and rehabilitation devices and presents case studies focusing on their feedback control- Presents the significance of control theory in the pervasiveness of medical robots in surgery, exploration, diagnosis, therapy, and rehabilitation

Medical and Healthcare Robotics: New Paradigms and Recent Advances provides an overview and exclusive insights into current trends, the most recent innovations, and concerns in medical robotics. The book covers the major areas of medical robotics, including rehabilitation devices, artificial organs, assistive technologies, service robotics, and robotic devices for surgery, exploration, diagnosis, therapy, and training. It highlights the limitations and the importance of robotics and artificial intelligence for medical and healthcare applications.

The book is a timely and comprehensive reference guide for undergraduate-level students, graduate students, and researchers in the fields of electrical engineering, mechanical engineering, mechatronics, control systems engineering, and biomedical engineering. It can be useful for master's programs, leading consultants, and industrial companies. The book can be of high interest for physicians and physiotherapists and all technical people in the medical and biomedical fields.

Covers the main areas of medical and healthcare robotics Presents the most recent innovations and trends in medical and healthcare robotics Contains chapters written by eminent researchers in the field

Medical and Healthcare Robotics: New Paradigms and Recent Advances provides an overview and exclusive insights into current trends, the most recent innovations, and concerns in medical robotics. The book covers the major areas of medical robotics, including rehabilitation devices, artificial organs, assistive technologies, service robotics, and robotic devices for surgery, exploration, diagnosis, therapy, and training. It highlights the limitations and the importance of robotics and artificial intelligence for medical and healthcare applications.The book is a timely and comprehensive reference guide for undergraduate-level students, graduate students, and researchers in the fields of electrical engineering, mechanical engineering, mechatronics, control systems engineering, and biomedical engineering. It can be useful for master''s programs, leading consultants, and industrial companies. The book can be of high interest for physicians and physiotherapists and all technical people in the medical and biomedical fields.- Covers the main areas of medical and healthcare robotics- Presents the most recent innovations and trends in medical and healthcare robotics- Contains chapters written by eminent researchers in the field

Robotics and Artificial Intelligence in Sports Medicine and Sports Services delves into the latest advancements in sports science, medicine, and event management. The book emphasizes the optimization of athlete performance, injury prevention, and rehabilitation through emerging technologies. It highlights the use of wearable sensors, IoT devices, AI-powered virtual and augmented reality, and predictive models based on large language models, which are revolutionizing training and recovery strategies.Additionally, rehabilitation robotics and exoskeletons are enhancing recovery and mobility for clinicians and physiotherapists. AI-driven drones improve performance monitoring, crowd safety, and fan engagement, while service robots streamline logistics and event management in smart stadiums. This book is an invaluable resource for engineers, clinicians, physiotherapists, coaches, and policymakers seeking to integrate smart technologies into sports science and medicine.

Presents advanced technologies in sports medicine, rehabilitation, and coachingOffers AI for boosting athlete’s performance and injury predictionPresents real-time monitoring with wearables, IoT, LLM, VR, AR, fitness trackers, and dronesExplores exoskeletons and robotics for recovery, along with service robots in safe and smart stadiums

Robotics and Artificial Intelligence in Sports Medicine and Sports Services delves into the latest advancements in sports science, medicine, and event management. The book emphasizes the optimization of athlete performance, injury prevention, and rehabilitation through emerging technologies. It highlights the use of wearable sensors, IoT devices, AI-powered virtual and augmented reality, and predictive models based on large language models, which are revolutionizing training and recovery strategies.Additionally, rehabilitation robotics and exoskeletons are enhancing recovery and mobility for clinicians and physiotherapists. AI-driven drones improve performance monitoring, crowd safety, and fan engagement, while service robots streamline logistics and event management in smart stadiums. This book is an invaluable resource for engineers, clinicians, physiotherapists, coaches, and policymakers seeking to integrate smart technologies into sports science and medicine. - Presents advanced technologies in sports medicine, rehabilitation, and coaching- Offers AI for boosting athlete's performance and injury prediction- Presents real-time monitoring with wearables, IoT, LLM, VR, AR, fitness trackers, and drones- Explores exoskeletons and robotics for recovery, along with service robots in safe and smart stadiums

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.Emphasizes the integration of AI and data science into medical research, showcasing their influence on drug discovery, medical imaging, diagnostics, and genomic medicineExplores how AI accelerates therapeutic compound discovery and optimizes drug development pipelines, leading to advancements in medical imaging for early disease detection and neuroimagingCovers AI's application in genomic medicine, providing insights into personalized treatment strategies, and a discussion on AI's contribution to public health surveillance, focusing on disease detection and epidemiological research

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research. - Emphasizes the integration of AI and data science into medical research, showcasing their influence on drug discovery, medical imaging, diagnostics, and genomic medicine- Explores how AI accelerates therapeutic compound discovery and optimizes drug development pipelines, leading to advancements in medical imaging for early disease detection and neuroimaging- Covers AI's application in genomic medicine, providing insights into personalized treatment strategies, and a discussion on AI's contribution to public health surveillance, focusing on disease detection and epidemiological research

Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics offers a comprehensive exploration of innovative methodologies at the intersection of mathematics, biology, and medicine. This book delves into advanced mathematical modeling, artificial intelligence, and computational intelligence, providing essential tools for understanding and managing complex disease dynamics. Covering a wide range of topics, including fractional-order modeling, optimal control strategies, and privacy-preserving technologies, it addresses critical challenges in public health and healthcare systems. With contributions from leading experts, this volume bridges theoretical advancements and practical applications, making it an invaluable resource for researchers, healthcare professionals, and academics seeking interdisciplinary solutions to global health issues.Presents advanced modeling techniques like fractional-order systems, stochastic analysis, and deep learning frameworks applied to real-world problems such as breast cancer, dengue, HBV, LSD, and COVID-19Provides practical solutions for disease control strategies, viscoelastic tissue modeling, and healthcare data security, fostering interdisciplinary applications of computational intelligenceOffers a forward-looking perspective on the application of computational intelligence in healthcare, emphasizing sustainable monitoring and mitigation strategies

Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics offers a comprehensive exploration of innovative methodologies at the intersection of mathematics, biology, and medicine. This book delves into advanced mathematical modeling, artificial intelligence, and computational intelligence, providing essential tools for understanding and managing complex disease dynamics. Covering a wide range of topics, including fractional-order modeling, optimal control strategies, and privacy-preserving technologies, it addresses critical challenges in public health and healthcare systems. With contributions from leading experts, this volume bridges theoretical advancements and practical applications, making it an invaluable resource for researchers, healthcare professionals, and academics seeking interdisciplinary solutions to global health issues. - Presents advanced modeling techniques like fractional-order systems, stochastic analysis, and deep learning frameworks applied to real-world problems such as breast cancer, dengue, HBV, LSD, and COVID-19- Provides practical solutions for disease control strategies, viscoelastic tissue modeling, and healthcare data security, fostering interdisciplinary applications of computational intelligence- Offers a forward-looking perspective on the application of computational intelligence in healthcare, emphasizing sustainable monitoring and mitigation strategies

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice examines the transformative role of AI and data science in improving diagnosis, treatment, and healthcare delivery. It shows how machine learning, deep learning, and advanced signal and image analysis enable breakthroughs in genomics, multi-omics integration, biomedical imaging, EEG-based seizure prediction, and real-time physiological monitoring. The book highlights AI-driven stratification of complex syndromes such as sepsis, stroke, and acute respiratory distress syndrome, demonstrating how data-driven models support early detection, personalized interventions, and actionable clinical decisions.The volume also presents system-level innovations, including AI-based forecasting for dialysis, blood supply management, and telemedicine optimization. It addresses ethical and regulatory challenges, fairness, transparency, data governance, and clinical validation, providing a practical roadmap for healthcare professionals, engineers, researchers, and policymakers. By integrating responsible, human-centered AI into precision medicine, the book illustrates clear pathways to enhance patient care, improve outcomes, and promote equitable healthcare.Explores AI and data science in precision medicine, integrating genomics, imaging, and multi-omics for actionable insightsDemonstrates predictive analytics across major clinical conditions, offering a technology-driven roadmap to improve care and outcomesHighlights ethical, regulatory, and governance considerations essential for responsible AI deployment in healthcare

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice examines the transformative role of AI and data science in improving diagnosis, treatment, and healthcare delivery. It shows how machine learning, deep learning, and advanced signal and image analysis enable breakthroughs in genomics, multi-omics integration, biomedical imaging, EEG-based seizure prediction, and real-time physiological monitoring. The book highlights AI-driven stratification of complex syndromes such as sepsis, stroke, and acute respiratory distress syndrome, demonstrating how data-driven models support early detection, personalized interventions, and actionable clinical decisions.The volume also presents system-level innovations, including AI-based forecasting for dialysis, blood supply management, and telemedicine optimization. It addresses ethical and regulatory challenges, fairness, transparency, data governance, and clinical validation, providing a practical roadmap for healthcare professionals, engineers, researchers, and policymakers. By integrating responsible, human-centered AI into precision medicine, the book illustrates clear pathways to enhance patient care, improve outcomes, and promote equitable healthcare. - Explores AI and data science in precision medicine, integrating genomics, imaging, and multi-omics for actionable insights- Demonstrates predictive analytics across major clinical conditions, offering a technology-driven roadmap to improve care and outcomes- Highlights ethical, regulatory, and governance considerations essential for responsible AI deployment in healthcare

AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in modern healthcare, including advanced wearables enhanced by deep learning. The volume also addresses the integration of blockchain technology, IoT, and cloud computing in healthcare, emphasizing real-time applications in precision healthcare. The discussion extends to energy optimization in smart hospitals, federated learning for IoMT networks, and advanced patient monitoring systems.The volume concludes with an overview of the future opportunities and challenges in Healthcare 5.0.Offers an in-depth exploration of the latest innovations in Healthcare 5.0, highlighting the integration of smart medical robots, devices, and connected hospitalsPresents comprehensive coverage of the integration of blockchain technology, IoT, and cloud computing in healthcare, highlighting real-time applications in precision healthcare and energy optimization in smart hospitalsDiscusses federated learning for IoMT networks, advanced patient monitoring systems, and an overview of future opportunities and challenges in Healthcare 5.0

AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in modern healthcare, including advanced wearables enhanced by deep learning. The volume also addresses the integration of blockchain technology, IoT, and cloud computing in healthcare, emphasizing real-time applications in precision healthcare. The discussion extends to energy optimization in smart hospitals, federated learning for IoMT networks, and advanced patient monitoring systems.The volume concludes with an overview of the future opportunities and challenges in Healthcare 5.0. - Offers an in-depth exploration of the latest innovations in Healthcare 5.0, highlighting the integration of smart medical robots, devices, and connected hospitals- Presents comprehensive coverage of the integration of blockchain technology, IoT, and cloud computing in healthcare, highlighting real-time applications in precision healthcare and energy optimization in smart hospitals- Discusses federated learning for IoMT networks, advanced patient monitoring systems, and an overview of future opportunities and challenges in Healthcare 5.0

The inverted pendulum is a classic problem in dynamics and control theory and is widely used as a benchmark for testing control algorithms. It is also an area of active study, with many new innovations and applications - for example the problem is solved in the technology of the Segway, a self-balancing transportation device.This book provides an overall picture of historical and current trends and developments in nonlinear control theory, based on the simple structure and rich nonlinear model of the inverted pendulum. After an introduction to the system and open/current problems, the book covers the topic in four parts: applications of robust state estimation and control to pendulum-cart systems; controllers for under-actuated mechanical systems; nonlinear controllers for mobile inverted pendulum systems; and robust controllers based observers via Takagi-Sugeno or linear approaches.With contributions from international researchers in the field, The Inverted Pendulum in Control Theory and Robotics is essential reading for researchers, scientists, engineers and students in the field of control theory, robotics and nonlinear systems.