Real-time Iterative Learning Control
Tong Heng Lee, Jian-Xin Xu, Sanjib K. Panda, et al.
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.
Kundenbewertungen
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