Design of Signal Synthesis Model Reference Adaptive Control Systems for Linear and Nonlinear Unknown Plants PDF Download
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Author: Kassem Ahmed Riad
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 178
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Book Description
Author: Kassem Ahmed Riad
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 178
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Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 360
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Author: Chalam
Publisher: Routledge
ISBN: 1351468979
Category : Technology & Engineering
Languages : en
Pages : 391
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Book Description
impossible to access. It has been widely scattered in papers, reports, and proceedings ofsymposia, with different authors employing different symbols and terms. But now thereis a book that covers all aspects of this dynamic topic in a systematic manner.Featuring consistent terminology and compatible notation, and emphasizing unifiedstrategies, Adaptive Control Systems provides a comprehensive, integrated accountof basic concepts, analytical tools, algorithms, and a wide variety of application trendsand techniques.Adaptive Control Systems deals not only with the two principal approachesmodelreference adaptive control and self-tuning regulators-but also considers otheradaptive strategies involving variable structure systems, reduced order schemes, predictivecontrol, fuzzy logic, and more. In addition, it highlights a large number of practical applicationsin a range of fields from electrical to biomedical and aerospace engineering ...and includes coverage of industrial robots.The book identifies current trends in the development of adaptive control systems ...delineates areas for further research . : . and provides an invaluable bibliography of over1,200 references to the literature.The first authoritative reference in this important area of work, Adaptive ControlSystems is an essential information source for electrical and electronics, R&D,chemical, mechanical, aerospace, biomedical, metallurgical, marine, transportation, andpower plant engineers. It is also useful as a text in professional society seminars and inhousetraining programs for personnel involved with the control of complex systems, andfor graduate students engaged in the study of adaptive control systems.
Author:
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Category : Artificial intelligence
Languages : en
Pages : 582
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Author:
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ISBN:
Category : Electrical engineering
Languages : en
Pages : 594
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Author:
Publisher:
ISBN:
Category : Electric circuits
Languages : en
Pages : 572
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Author:
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 582
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Book Description
Author: Yiannis Boutalis
Publisher: Springer Science & Business
ISBN: 3319063642
Category : Technology & Engineering
Languages : en
Pages : 316
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Book Description
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.
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 796
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Author: United States. Federal Energy Administration
Publisher:
ISBN:
Category : Energy policy
Languages : en
Pages : 266
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Book Description
