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Author: P. Albertos Pérez Publisher: Pergamon ISBN: Category : Computers Languages : en Pages : 210
Book Description
This Proceedings contains the papers presented at the first IFAC Workshop on Advanced Fuzzy-Neural Control , held at Valencia, Spain, on 15-16 October 2001. This is the first IFAC technical meeting specifically devoted to fuzzy and neural control. The use of artificial intelligence techniques has been expanded to many engineering areas. Fuzzy systems, neural networks, genetic algorithms and, in general, soft computing techniques are regarded as alternatives for the solution of complex problems involving non-linear systems, optimisation and/or dealing with approximate knowledge. Fuzzy logic controllers are undoubtedly one of the most successful applications of fuzzy logic theory. The issues covered in the Proceedings include: Stability, robustness and adaptation Learning and local models Structures Design methodologies Heuristics vs. model based design Applications in process control Applications in robotics In addition to the papers, this Proceedings includes a novel section which summarises ideas and conclusions on fuzzy logic controllers from the experts attending the IFAC Workshop.
Author: P. Albertos Pérez Publisher: Pergamon ISBN: Category : Computers Languages : en Pages : 210
Book Description
This Proceedings contains the papers presented at the first IFAC Workshop on Advanced Fuzzy-Neural Control , held at Valencia, Spain, on 15-16 October 2001. This is the first IFAC technical meeting specifically devoted to fuzzy and neural control. The use of artificial intelligence techniques has been expanded to many engineering areas. Fuzzy systems, neural networks, genetic algorithms and, in general, soft computing techniques are regarded as alternatives for the solution of complex problems involving non-linear systems, optimisation and/or dealing with approximate knowledge. Fuzzy logic controllers are undoubtedly one of the most successful applications of fuzzy logic theory. The issues covered in the Proceedings include: Stability, robustness and adaptation Learning and local models Structures Design methodologies Heuristics vs. model based design Applications in process control Applications in robotics In addition to the papers, this Proceedings includes a novel section which summarises ideas and conclusions on fuzzy logic controllers from the experts attending the IFAC Workshop.
Author: Nikola K. Kasabov Publisher: Marcel Alencar ISBN: 0262112124 Category : Artificial intelligence Languages : en Pages : 581
Book Description
Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.
Author: Junhong Nie Publisher: Prentice Hall PTR ISBN: Category : Computers Languages : en Pages : 262
Book Description
Illustrating how fuzzy logic and neural networks can be integrated into a model reference control context for real-time control of multivariable systems, this book provides an architecture which accommodates several popular learning/reasoning paradigms.
Author: José Mira Publisher: Springer Science & Business Media ISBN: 354040211X Category : Computers Languages : en Pages : 845
Book Description
The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.
Author: Danwei Wang Publisher: Springer ISBN: 9814585602 Category : Technology & Engineering Languages : en Pages : 232
Book Description
This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.
Author: Robert Fuller Publisher: Springer Science & Business Media ISBN: 9783790812565 Category : Business & Economics Languages : en Pages : 310
Book Description
This book contains introductory material to neuro-fuzzy systems. Its main purpose is to explain the information processing in mostly-used fuzzy inference systems, neural networks and neuro-fuzzy systems. More than 180 figures and a large number of (numerical) exercises (with solutions) have been inserted to explain the principles of fuzzy, neural and neuro-fuzzy systems. Also the mathematics applied in the models is carefully explained, and in many cases exact computational formulas have been derived for the rules in error correction learning procedures. Numerous models treated in the book will help the reader to design his own neuro-fuzzy system for his specific (managerial, industrial, financial) problem. The book can serve as a textbook for students in computer and management sciences who are interested in adaptive technologies.
Author: P. Albertos Pérez
Author: P. Albertos Pérez
Author: International Federation of Automatic Control
Author: Pedro Albertos
Author: Nikola K. Kasabov
Author: Junhong Nie
Author: Wen Yu
Author: José Mira
Author: Danwei Wang
Author: 
Author: Robert Fuller