access icon free Iterative learning control for a class of non-linear switched systems

© The Institution of Engineering and Technology
Received 01/07/2012, Accepted 07/01/2013, Revised 23/11/2012, Published

In this study, the problem of iterative learning control for a class of non-linear switched systems with arbitrary switched rules is considered. It is assumed that the considered switched systems are operated during a finite-time interval repetitively, and then the iterative learning control scheme can be introduced. It is also shown that under some given conditions, the D-type iterative learning control law can guarantee the asymptotic convergence of the tracking error between the desired output and the actual output for the entire time interval through the iterative learning process. Two examples are given to illustrate the effectiveness of the proposed approach.

Inspec keywords: learning systems; convergence; nonlinear control systems; self-adjusting systems; iterative methods; time-varying systems

Other keywords: iterative learning control scheme; arbitrary switched rule; D-type iterative learning control law; finite time interval; nonlinear switched system; tracking error; asymptotic convergence

Subjects: Nonlinear control systems; Self-adjusting control systems; Interpolation and function approximation (numerical analysis); Time-varying control systems

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