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Item Details
Title: SOFT COMPUTING FOR CONTROL OF NON-LINEAR DYNAMICAL SYSTEMS
By: Oscar Castillo, Patricia Melin
Format: Paperback

List price: £54.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3662003678
ISBN 13: 9783662003671
Publisher: PHYSICA VERLAG,WIEN
Pub. date: 18 January, 2001
Edition: Softcover reprint of the original 1st ed. 2001
Series: Studies in Fuzziness and Soft Computing 63
Pages: 224
Synopsis: This book presents a unified view of modelling, simulation, and control of non- linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application.
Illustrations: 13 Tables, black and white; 64 Illustrations, black and white; XIV, 224 p.
Publication: Austria
Imprint: Physica Verlag,Wien
Returns: Returnable
Some other items by this author:
ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES (PB)
BIO-INSPIRED HYBRID INTELLIGENT SYSTEMS FOR IMAGE ANALYSIS AND PATTERN RECOGNITION (HB)
BIO-INSPIRED HYBRID INTELLIGENT SYSTEMS FOR IMAGE ANALYSIS AND PATTERN RECOGNITION (PB)
CHEMICAL OPTIMIZATION ALGORITHM FOR FUZZY CONTROLLER DESIGN (PB)
DESIGN OF INTELLIGENT SYSTEMS BASED ON FUZZY LOGIC, NEURAL NETWORKS AND NATURE-INSPIRED OPTIMIZATION (HB)
DESIGN OF INTELLIGENT SYSTEMS BASED ON FUZZY LOGIC, NEURAL NETWORKS AND NATURE-INSPIRED OPTIMIZATION (PB)
DIFFERENTIAL EVOLUTION ALGORITHM WITH TYPE-2 FUZZY LOGIC FOR DYNAMIC PARAMETER ADAPTATION WITH APPLICATION TO INTELLIGENT CONTROL
DYNAMIC PARAMETER ADAPTATION FOR META-HEURISTIC OPTIMIZATION ALGORITHMS THROUGH TYPE-2 FUZZY LOGIC (HB)
EDGE DETECTION METHODS BASED ON GENERALIZED TYPE-2 FUZZY LOGIC (PB)
ENSEMBLES OF TYPE 2 FUZZY NEURAL MODELS AND THEIR OPTIMIZATION WITH BIO-INSPIRED ALGORITHMS FOR TIME SERIES PREDICTION (HB)
EVOLUTIONARY DESIGN OF INTELLIGENT SYSTEMS IN MODELING, SIMULATION AND CONTROL (HB)
EVOLUTIONARY DESIGN OF INTELLIGENT SYSTEMS IN MODELING, SIMULATION AND CONTROL (PB)
EXTENSION OF THE FUZZY SUGENO INTEGRAL BASED ON GENERALIZED TYPE-2 FUZZY LOGIC (PB)
FOUNDATIONS OF FUZZY LOGIC AND SOFT COMPUTING (PB)
FUZZY LOGIC AUGMENTATION OF NATURE-INSPIRED OPTIMIZATION METAHEURISTICS (HB)
FUZZY LOGIC AUGMENTATION OF NATURE-INSPIRED OPTIMIZATION METAHEURISTICS (PB)
FUZZY LOGIC IN INTELLIGENT SYSTEM DESIGN (PB)
GENERAL TYPE-2 FUZZY LOGIC IN DYNAMIC PARAMETER ADAPTATION FOR THE HARMONY SEARCH ALGORITHM
HIERARCHICAL MODULAR GRANULAR NEURAL NETWORKS WITH FUZZY AGGREGATION (PB)
HIERARCHICAL TYPE-2 FUZZY AGGREGATION OF FUZZY CONTROLLERS (PB)
HYBRID INTELLIGENT SYSTEMS (HB)
HYBRID INTELLIGENT SYSTEMS (PB)
HYBRID INTELLIGENT SYSTEMS FOR PATTERN RECOGNITION USING SOFT COMPUTING (HB)
HYBRID INTELLIGENT SYSTEMS FOR PATTERN RECOGNITION USING SOFT COMPUTING (PB)
INTELLIGENT AUTOMATION AND COMPUTER ENGINEERING (HB)
INTELLIGENT AUTOMATION AND COMPUTER ENGINEERING (PB)
INTELLIGENT CONTROL AND COMPUTER ENGINEERING (HB)
INTELLIGENT CONTROL AND COMPUTER ENGINEERING (PB)
INTELLIGENT CONTROL AND INNOVATIVE COMPUTING (HB)
INTELLIGENT CONTROL AND INNOVATIVE COMPUTING (PB)
INTERVAL TYPE-3 FUZZY SYSTEMS: THEORY AND DESIGN
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MODELLING, SIMULATION AND CONTROL OF NON-LINEAR DYNAMICAL SYSTEMS
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MODELLING, SIMULATION AND CONTROL OF NON-LINEAR DYNAMICAL SYSTEMS (HB)
MODERN ADAPTIVE FUZZY CONTROL SYSTEMS (HB)
MODULAR NEURAL NETWORKS AND TYPE-2 FUZZY SYSTEMS FOR PATTERN RECOGNITION (HB)
MODULAR NEURAL NETWORKS AND TYPE-2 FUZZY SYSTEMS FOR PATTERN RECOGNITION (PB)
MYCORRHIZA OPTIMIZATION ALGORITHM
NATURE-INSPIRED DESIGN OF HYBRID INTELLI (PB)
NATURE-INSPIRED DESIGN OF HYBRID INTELLIGENT SYSTEMS (HB)
NATURE-INSPIRED OPTIMIZATION OF TYPE-2 FUZZY NEURAL HYBRID MODELS FOR CLASSIFICATION IN MEDICAL DIAGNOSIS
NEURAL NETWORKS AND LEARNING ALGORITHMS IN MATLAB (HB)
NEURO FUZZY HYBRID MODELS FOR CLASSIFICATION IN MEDICAL DIAGNOSIS
NEW BACKPROPAGATION ALGORITHM WITH TYPE-2 FUZZY WEIGHTS FOR NEURAL NETWORKS (PB)
NEW BIO-INSPIRED OPTIMIZATION ALGORITHM BASED ON THE SELF-DEFENSE MECHANISM OF PLANTS IN NATURE
NEW CLASSIFICATION METHOD BASED ON MODULAR NEURAL NETWORKS WITH THE LVQ ALGORITHM AND TYPE-2 FUZZY LOGIC (PB)
NEW HYBRID INTELLIGENT SYSTEMS FOR DIAGNOSIS AND RISK EVALUATION OF ARTERIAL HYPERTENSION (PB)
NEW MEDICAL DIAGNOSIS MODELS BASED ON GENERALIZED TYPE-2 FUZZY LOGIC
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NOVEL DEVELOPMENTS IN UNCERTAINTY REPRESENTATION AND PROCESSING (PB)
OPTIMIZATION OF TYPE-2 FUZZY CONTROLLERS USING THE BEE COLONY ALGORITHM (PB)
RECENT ADVANCES IN INTERVAL TYPE-2 FUZZY SYSTEMS (PB)
RECENT ADVANCES ON HYBRID APPROACHES FOR DESIGNING INTELLIGENT SYSTEMS (HB)
RECENT ADVANCES ON HYBRID APPROACHES FOR DESIGNING INTELLIGENT SYSTEMS (PB)
RECENT ADVANCES ON HYBRID INTELLIGENT SYSTEMS (HB)
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SOFT COMPUTING AND FRACTAL THEORY FOR INTELLIGENT MANUFACTURING (HB)
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SOFT COMPUTING FOR INTELLIGENT CONTROL AND MOBILE ROBOTICS (PB)
SOFT COMPUTING FOR RECOGNITION BASED ON BIOMETRICS (HB)
SOFT COMPUTING FOR RECOGNITION BASED ON BIOMETRICS (PB)
STABILIZATION OF INFINITE DIMENSIONAL SYSTEMS
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TRENDS IN INTELLIGENT SYSTEMS AND COMPUTER ENGINEERING (PB)
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TYPE-2 FUZZY LOGIC IN CONTROL OF NONSMOOTH SYSTEMS (HB)
TYPE-2 FUZZY LOGIC IN INTELLIGENT CONTROL APPLICATIONS (HB)
TYPE-2 FUZZY LOGIC IN INTELLIGENT CONTROL APPLICATIONS (PB)
TYPE-2 FUZZY LOGIC: THEORY AND APPLICATIONS (HB)
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TYPE-3 FUZZY LOGIC IN TIME SERIES PREDICTION
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