Real-time Iterative Learning Control, Fachbücher von Tong Heng Lee, Jian-Xin Xu, Sanjib K. Panda
Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been ... Mehr erfahren
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Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations. Real-time Iterative Learning Control demonstrates how the latest advances in ILC can be applied to a number of plants widely encountered in practice. The authors provide a hitherto lacking systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in the linear and nonlinear plants that pervade mechatronics and batch processes are addres.
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Lieferzeit:2-4 Werktage
Marke:Springer