Intelligent Adaptive Control


Intelligent Adaptive Control
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Intelligent Adaptive Control


Intelligent Adaptive Control
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Author : Lakhmi C. Jain
language : en
Publisher: CRC Press
Release Date : 1998-12-29

Intelligent Adaptive Control written by Lakhmi C. Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-12-29 with Computers categories.


This book describes important techniques, developments, and applications of computational intelligence in system control. Chapters present: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent control industrial applications of intelligent control and soft computing, including transportation, petroleum, motor drive, industrial automation, and fish processing other knowledge-based techniques, including vehicle driving aid and air traffic management Intelligent Adaptive Control provides a state-of-the-art treatment of practical applications of computational intelligence in system control. The book cohesively covers introductory and advanced theory, design, implementation, and industrial use - serving as a singular resource for the theory and application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.



Functional Adaptive Control


Functional Adaptive Control
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Author : Simon G. Fabri
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Functional Adaptive Control written by Simon G. Fabri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


Unique in its systematic approach to stochastic systems, this book presents a wide range of techniques that lead to novel strategies for effecting intelligent control of complex systems that are typically characterised by uncertainty, nonlinear dynamics, component failure, unpredictable disturbances, multi-modality and high dimensional spaces.



Intelligent Optimal Adaptive Control For Mechatronic Systems


Intelligent Optimal Adaptive Control For Mechatronic Systems
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Author : Marcin Szuster
language : en
Publisher: Springer
Release Date : 2017-12-28

Intelligent Optimal Adaptive Control For Mechatronic Systems written by Marcin Szuster and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-28 with Technology & Engineering categories.


The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tested by the authors. It also discusses the use of artificial intelligent methods like neural networks and neuraldynamic programming, including globalised dual-heuristic dynamic programming, for controlling wheeled robots and robotic manipulators,and compares them to classical control methods.



System Identification And Adaptive Control


System Identification And Adaptive Control
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Author : Yiannis Boutalis
language : en
Publisher: Springer Science & Business
Release Date : 2014-04-23

System Identification And Adaptive Control written by Yiannis Boutalis and has been published by Springer Science & Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-23 with Technology & Engineering categories.


Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.



Advances In Intelligent Control


Advances In Intelligent Control
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Author : C J Harris
language : en
Publisher: CRC Press
Release Date : 1994-03-11

Advances In Intelligent Control written by C J Harris and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-03-11 with Technology & Engineering categories.


"Advances in intelligent Control" is a collection of essays covering the latest research in the field. Based on a special issue of "The International Journal of Control", the book is arranged in two parts. Part one contains recent contributions of artificial neural networks to modelling and control. Part two concerns itself primarily with aspects of fuzzy logic in intelligent control, guidance and estimation, although some of the contributions either make direct equivalence relationships to neural networks or use hybrid methods where a neural network is used to develop the fuzzy rule base.



Intelligent Control


Intelligent Control
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Author : Kaushik Das Sharma
language : en
Publisher: Springer
Release Date : 2018-08-28

Intelligent Control written by Kaushik Das Sharma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-28 with Technology & Engineering categories.


This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞ theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.



Intelligent Tuning And Adaptive Control


Intelligent Tuning And Adaptive Control
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Author : R. Devanathan
language : en
Publisher: Elsevier
Release Date : 2014-05-23

Intelligent Tuning And Adaptive Control written by R. Devanathan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.


This volume contains 67 papers reporting on the state-of-the-art research in the fields of adaptive control and intelligent tuning. Papers include applications in robotics, the processing industries and machine control.



Functional Adaptive Control


Functional Adaptive Control
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Author : Simon G Fabri
language : en
Publisher:
Release Date : 2001-03-01

Functional Adaptive Control written by Simon G Fabri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-01 with categories.




Handbook Of Intelligent Control


Handbook Of Intelligent Control
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Author : David A. White
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1992

Handbook Of Intelligent Control written by David A. White and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Technology & Engineering categories.


This handbook shows the reader how to develop neural networks and apply them to various engineering control problems. Based on a workshop on aerospace applications, this tutorial covers integration of neural networks with existing control architectures as well as new neurocontrol architectures in nonlinear control.



Practical Applications Of Computational Intelligence For Adaptive Control


Practical Applications Of Computational Intelligence For Adaptive Control
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Author : Charles Karr
language : en
Publisher: CRC Press
Release Date : 1999-04-12

Practical Applications Of Computational Intelligence For Adaptive Control written by Charles Karr and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-04-12 with Computers categories.


Written as a result of a seven year research project using computational intelligence techniques for solving mineral processing problems at the U.S. Bureau of Mines, this book is about intelligent, adaptive process control. It brings together ideas from the field of computational intelligence , a part of the larger field of artificial intelligence, including fuzzy mathematics, genetic algorithms, and neural networks and uses these ideas to develop a generic architecture for accomplishing adaptive process control. In the development of this architecture, the requisite tools are described and then demonstrated on a number of problems. Moreover, most of the examples are of interest in industrial settings (although some simple examples are provided in the beginning so that the reader can focus on technique and not be overburdened with the complexity of the problems being solved.) The focus of Practical Applications of Computational Intelligence for Adaptive Control is on practical applications. It provides practicing engineers and scientists with the information they need to solve process control problems in industry and academia. If the reader is interested in solving difficult control problems or interested in the mechanics of basic computational intelligence techniques, then this book is an excellent place to start.