Qiang Chen – författare

Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches.

This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering.

Explains the latest research outputs on modeling, identification and adaptive control for systems with nonsmooth dynamics Provides practical application and experimental results for robotic systems, and servo motors

Adaptive Predefined-Time Attitude Control for Spacecraft presents the latest advancements in spacecraft control dynamics, with a particular focus on time-bound strategies that guarantee rapid and smooth system stabilization under realistic mission constraints. Rooted in the expertise of scholars with extensive experience in nonlinear and adaptive control, the book establishes a solid theoretical foundation in finite-time and predefined-time formulations before transitioning to sophisticated techniques such as fuzzy logic, dynamic surface control, neural networks, and event-triggered design. Subsequent chapters broaden the scope to encompass multi-spacecraft coordination and time-triggered adaptation, reflecting the growing trend toward autonomy and intelligent systems in modern aerospace applications.Readers are guided through a cohesive suite of state-of-the-art methodologies, along with insights into emerging trends and future frontiers, all engineered to optimize reliability, efficiency, and fault tolerance. Graduate students, early-career researchers, and experienced engineers in both academia and industry will find this volume a comprehensive and indispensable reference for the design and deployment of intelligent attitude control systems in modern flight and satellite missions.

Enhances overall spacecraft performance through intelligent control strategies such as neural networks and finite-time control, ensuring robust operation in highly complex and uncertain environmentsDelivers precise and reliable attitude stabilization using advanced techniques like fixed-time sliding mode control and predefined-time backstepping, maintaining accuracy even in the presence of dynamic external disturbancesEnsures fault resilience and mission continuity by employing adaptive and event-triggered control methods that respond proactively to unexpected system failures, preserving functionality without compromising performancePromotes control efficiency and autonomy by integrating real-time decision-making frameworks and low-complexity algorithms that enable spacecraft to adapt to evolving mission conditions with minimal ground intervention

This book explores new frontiers in the research of economic growth and industrial reconstruction, analyzing economic growth and transitions in industrial structure in East Asia with a variety of data.

This book introduces key concepts in modeling and risk assessments of vapor intrusion, a process by which the subsurface volatile contaminants migrate into the building of concern. Soil vapor intrusion is the major exposure pathway for building occupants to chemicals from the subsurface, and its risk assessments determine the criteria of volatile contaminants in soil/groundwater in brownfield redevelopment. The chapters feature the recent advances in vapor intrusion studies and practices, including analytical and numerical modeling of vapor intrusion, statistical findings of United States Environmental Protection Agency’s Vapor Intrusion Database and Petroleum Vapor Intrusion Databases, the challenges of preferential pathways, and the application of building pressure cycling methods, and field practices of vapor intrusion risk assessments at developed contaminated sites and in brownfield redevelopment. This volume also summarizes the advantages and limits of current applications invapor intrusion risk assessment, laying the groundwork for future research of better understanding in risk characterization of soil vapor intrusion using models.            Written by experts in this field, Vapor Intrusion Simulations and Risk Assessments will serve as an invaluable reference for researchers, regulators, and practitioners, who are interested in perceiving the basic knowledge and current advances in risk assessments of soil vapor intrusion.

This book introduces key concepts in modeling and risk assessments of vapor intrusion, a process by which the subsurface volatile contaminants migrate into the building of concern. Soil vapor intrusion is the major exposure pathway for building occupants to chemicals from the subsurface, and its risk assessments determine the criteria of volatile contaminants in soil/groundwater in brownfield redevelopment. The chapters feature the recent advances in vapor intrusion studies and practices, including analytical and numerical modeling of vapor intrusion, statistical findings of United States Environmental Protection Agency’s Vapor Intrusion Database and Petroleum Vapor Intrusion Databases, the challenges of preferential pathways, and the application of building pressure cycling methods, and field practices of vapor intrusion risk assessments at developed contaminated sites and in brownfield redevelopment. This volume also summarizes the advantages and limits of current applications invapor intrusion risk assessment, laying the groundwork for future research of better understanding in risk characterization of soil vapor intrusion using models.            Written by experts in this field, Vapor Intrusion Simulations and Risk Assessments will serve as an invaluable reference for researchers, regulators, and practitioners, who are interested in perceiving the basic knowledge and current advances in risk assessments of soil vapor intrusion.

This book includes original, peer-reviewed research papers from the 17th International Conference on Modelling, Identification and Control (ICMIC2025), held in Qingdao, Shandong, China on June 13-15, 2025. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence.The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book an asset for researchers, engineers, and university students alike.