Iterative Learning Control with Passive Incomplete Information

Name: Iterative Learning Control with Passive Incomplete Information
Brand: Springer Verlag, Singapore
SKU: 9789811341052
Price: 772.41 RON
Availability: InStock

Autor: Dong Shen

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Legare: Carte broșată

Editura: Springer Verlag, Singapore

Disponibilitate: În depozitul extern

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772.41 lei

This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplet...

Informații despre carte

Autor

Dong Shen

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2018

Pagini

294

EAN

9789811341052

ISBN

9811341052

Enbook ID

21204583

Editura

Springer Verlag, Singapore

Greutate

474

Dimensiuni

155 x 235 x 17

Descriere completă

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.

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Iterative Learning Control with Passive Incomplete Information

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