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This book presents the most important findings from the 9th International Conference on Modelling, Identification and Control (ICMIC’17), held in Kunming, China on July 10–12, 2017. It covers most aspects of modelling, identification, instrumentation, signal processing and control, with a particular focus on the applications of research in multi-agent systems, robotic systems, autonomous systems, complex systems, and renewable energy systems. The book gathers thirty comprehensively reviewed and extended contributions, which help to promote evolutionary computation, artificial intelligence, computation intelligence and soft computing techniques to enhance the safety, flexibility and efficiency of engineering systems. Taken together, they offer an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, mechanical engineering and communication engineering. .
Simulation methods --- Automatic control --- Identification --- Data processing --- Computer simulation. --- Systems theory. --- Vibration. --- Control. --- Simulation and Modeling. --- Systems Theory, Control. --- Vibration, Dynamical Systems, Control. --- Robotics and Automation. --- Cycles --- Mechanics --- Sound --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Model-integrated computing --- Forensic identification --- Control and Systems Theory. --- Control engineering. --- System theory. --- Dynamical systems. --- Dynamics. --- Robotics. --- Automation. --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Philosophy --- Control theory. --- Multibody systems. --- Mechanics, Applied. --- Computer Modelling. --- Systems Theory, Control . --- Multibody Systems and Mechanical Vibrations. --- Control, Robotics, Automation. --- Dynamics --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Multi-body systems --- Systems, Multibody
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Friction. --- Adaptive control systems. --- Servomechanisms. --- Mechanics --- Bearings (Machinery) --- Tribology --- Servo-mechanisms --- Servomotors --- Servo systems --- Servos (Servomechanisms) --- Automatic control --- Automation --- Feedback control systems --- Synchros --- Self-adaptive control systems --- Artificial intelligence --- Self-organizing systems
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This is an open access book. Since 1985, held 22 times in different cities all over China, ICFPMCE has now been listed in annual academic activities (non-profit) of the Chinese Society of Theoretical and Applied Mechanics (CSTAM), which has become one of the significant conferences in the field of fluid power and mechatronic control engineering. Under the theme of "Green Intelligence, Innovative Development", ICFPMCE 2022 aims to provide a platform for the participants who have been working in the fields of Fluid mechanics, hydraulic and electrical engineering. In addition to keynote speeches and technical sessions to be hosted by famous experts over the world, the conference will organize a number of mini-symposia with themes of sharing the experiences of applying for the National Natural Science Foundation of China, dialogues between editors-in-chief of the journals and young scholars, experts and entrepreneurs, as well as innovative technology exhibition etc., in order to highlight the significant subjects and trends in the field.
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This book presents the most important findings from the 9th International Conference on Modelling, Identification and Control (ICMIC’17), held in Kunming, China on July 10–12, 2017. It covers most aspects of modelling, identification, instrumentation, signal processing and control, with a particular focus on the applications of research in multi-agent systems, robotic systems, autonomous systems, complex systems, and renewable energy systems. The book gathers thirty comprehensively reviewed and extended contributions, which help to promote evolutionary computation, artificial intelligence, computation intelligence and soft computing techniques to enhance the safety, flexibility and efficiency of engineering systems. Taken together, they offer an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, mechanical engineering and communication engineering. .
Classical mechanics. Field theory --- Mechanical properties of solids --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- hernieuwbare energie --- vormgeving --- automatisering --- mineralen (chemie) --- simulaties --- systeemtheorie --- mijnbouw --- KI (kunstmatige intelligentie) --- systeembeheer --- ingenieurswetenschappen --- robots --- dynamica --- optica
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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.
Friction. --- Adaptive control systems. --- Servomechanisms.
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Parameter estimation. --- Adaptive control systems. --- Servomechanisms --- Nonlinear systems. --- Control.
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