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Real-time Iterative Learning Control

Design and Applications

Tong Heng Lee, Jian-Xin Xu, Sanjib K. Panda, et al.

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ca. 96,29 €
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Springer London img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a 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 linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains; design in the frequency and time domains; design with problem-specific performance objectives including robustness and optimality; design in a modular approach by integration with other control techniques; and design by means of classical tools based on Bode plots and state space.

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Schlagwörter

Control System Design, Control, Real-time, Performance Analysis, Precision Servo Control, Intelligent Control, Electrical Drives, Control Engineering, Furnace Control, Bopp2009, Iterative Learning Control, Process Temperature Control, Control Applications