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Autonomous robots --- Mobile robots --- Robots --- 681.3*I5 --- 681.3*I5 Pattern recognition (Computing methodologies) --- Pattern recognition (Computing methodologies) --- Autonomous robotic systems --- Robot control --- Robotics --- Control systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- navigatie --- fuzzy logic --- robots

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Automatic control. --- Fuzzy systems.

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Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has already been achieved for fuzzy sliding mode controllers and fuzzy gain schedulers - the main topics of this book. The primary aim of the book is to serve as a guide for the practitioner and to provide introductory material for courses in control theory.

Automatic control --- Fuzzy systems --- Commande automatique --- Systèmes flous --- Automatic control. --- Fuzzy systems. --- Systèmes flous --- Computer-aided engineering. --- Special purpose computers. --- Artificial intelligence. --- Pattern recognition. --- Control engineering. --- Robotics. --- Mechatronics. --- Computational complexity. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Special Purpose and Application-Based Systems. --- Artificial Intelligence. --- Pattern Recognition. --- Control, Robotics, Mechatronics. --- Complexity. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Special purpose computers --- Computers --- CAE --- Engineering --- Data processing --- Systems, Fuzzy --- System analysis --- Fuzzy logic

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Fuzzy systems --- Intelligent control systems --- Systèmes flous --- Systèmes flous --- Fuzzy control --- Theorie du controle