Data-driven adaptive iterative learning control based on a local dynamic linearization

Key Words:Iterative methods;Learning algorithms - Learning systems - Linearization - Nonlinear systems - Two term control systems

Abstract:Linearization technique is inevitable for a nonlinear control system design. However, the traditional linearization methods require model information, which is difficult to obtain for the complex nonlinear system. In this article, a new local dynamic linearization method is proposed via a mean-value theorem and can be estimated by using the I/O data only. Then a new adaptive iterative learning control is proposed by using the optimal technology. The simulation verifies the monotonic convergence and practicability of this method.<br/> &copy; 2018 IEEE.

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