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Titlebook: Adaptive Regulation; Reference Tracking a Vladimir Nikiforov,Dmitry Gerasimov Book 2022 Springer Nature Switzerland AG 2022 Adaptive Contro

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發(fā)表于 2025-3-21 18:59:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Adaptive Regulation
期刊簡(jiǎn)稱Reference Tracking a
影響因子2023Vladimir Nikiforov,Dmitry Gerasimov
視頻videohttp://file.papertrans.cn/145/144729/144729.mp4
發(fā)行地址A self-contained book, including appendices covering background concepts to support the algorithms discussed.Illustrates theoretical background using multiple numerical examples and simulation results
學(xué)科分類Lecture Notes in Control and Information Sciences
圖書封面Titlebook: Adaptive Regulation; Reference Tracking a Vladimir Nikiforov,Dmitry Gerasimov Book 2022 Springer Nature Switzerland AG 2022 Adaptive Contro
影響因子.This monograph is focused on control law design methods for asymptotic tracking and disturbance rejection in the presence of uncertainties. The methods are based on adaptive implementation of the Internal Model Principle (IMP). The monograph shows how this principle can be applied to the problems of asymptotic rejection/tracking of a priori uncertain exogenous signals for linear and nonlinear plants with known and unknown parameters.?..The book begins by introducing the problems of adaptive control, the challenges that are faced, modern methods and an overview of the IMP. It then introduces special observers for uncertain exogeneous signals affecting linear and nonlinear systems with known and unknown parameters. The basic algorithms of adaptation applied to the canonical closed-loop error models are presented. The authors then address the systematic design of adaptive systems for asymptotic rejection/tracking of a priori uncertain exosignals. The monograph also discusses the adaptive rejection/tracking of a priori uncertain exogenous signals in systems with input delay, the problems of performance improvement in disturbance rejection and reference tracking and the issue of robust
Pindex Book 2022
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978-3-030-96093-3Springer Nature Switzerland AG 2022
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地板
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https://doi.org/10.1057/9780230372016ructing such algorithms and establishing their convergence properties, we provide theoretical background that will be used in the next chapters for design of different adaptive controllers addressed in this book. Section?. introduces canonical error models?and defines classes of the regressor to be
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發(fā)表于 2025-3-22 16:26:56 | 只看該作者
https://doi.org/10.1057/9780230372016er words, the chapter presents design methods applied to the plants with known parameters in order to solve control Problems ., . and . formulated in Sect.?.. The employed design methods are based on the combined use of the exosignal?observers introduced in Sects.?., . and the basic adaptation algor
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Barbara Bodichon’s Epistolary Educationns irregular component and demonstrate how the adaptive controllers must be modified in order to provide desirable properties of the closed-loop control systems—the boundedness?of all the closed-loop signals in the presence of the irregular component and asymptotic achievement of the control objecti
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