Published online in Wiley InterScience (www.interscience.wiley.com) DOI: 10.1002/asjc.067 ASELF-TUNING ITERATIVE LEARNINGCONTROLLER FOR TIME VARIANT SYSTEMS

We consider the iterative learning control problem from an adaptive control viewpoint. The self-tuning iterative learning control systems (STILCS) problem is formulated in a general case, where the underlying linear system is time-variant and its parameters are all unknown and where its initial conditions are not constant and not determinable in various iterations. A procedure for solving this problem will be presented. The Lyapunov technique is employed to ensure the convergence of the presented STILCS. Computer simulation results are included to illustrate the effectiveness of the proposed STILCS