Self-Tuning Iterative Learning Control for Time Variant Systems
Publish place: 13th Iranian Conference on Electric Engineering
Publish Year: 1384
Type: Conference paper
Language: English
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Document National Code:
ICEE13_230
Index date: 18 November 2007
Self-Tuning Iterative Learning Control for Time Variant Systems abstract
We consider the iterative learning control problem from an adaptive control viewpoint. The STILCS (self-tuning iterative learning control systems) problem is formulated in a general case, when the underlying repetitive linear process is time-variant and its parameters are all unknown, its initial conditions are not fixed and are not determinable in various iterations. A solution procedure is presented for this problem. The Lyapunov technique is employed to ensure the convergence of the presented STILCS. The computer simulation results are included to illustrate the effectiveness of the proposed STILCS.
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Self-Tuning Iterative Learning Control for Time Variant Systems authors
Ali Madady
Tafresh Educational and Research Complex (Tafresh University) Electrical Eng. Department
Masoud Shafiee
Amir Kabir University of Technology (Tehran Polytechnic) Electrical Eng. Department
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