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Iterative Learning Control with Passive Incomplete Information = Algorithms Design and Convergence Analysis /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Iterative Learning Control with Passive Incomplete Information/ by Dong Shen.
其他題名:	Algorithms Design and Convergence Analysis /
作者:	Shen, Dong.
面頁冊數:	XIV, 294 p. 89 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Control engineering. -
電子資源:	https://doi.org/10.1007/978-981-10-8267-2
ISBN:	9789811082672

Iterative Learning Control with Passive Incomplete Information = Algorithms Design and Convergence Analysis /
Shen, Dong.

Iterative Learning Control with Passive Incomplete InformationAlgorithms Design and Convergence Analysis /[electronic resource] :by Dong Shen. - 1st ed. 2018. - XIV, 294 p. 89 illus.online resource.

This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model—for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields.

ISBN: 9789811082672

Standard No.: 10.1007/978-981-10-8267-2doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Iterative Learning Control with Passive Incomplete Information = Algorithms Design and Convergence Analysis /
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