Control Design With Iterative Learning

Renjeng Su; Noureddine Kermiche

doi:10.1117/12.969924

1 February 1990 Control Design With Iterative Learning

Renjeng Su, Noureddine Kermiche

Proceedings Volume 1196, Intelligent Control and Adaptive Systems; (1990) https://doi.org/10.1117/12.969924
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

Consider the general problem of finding the inverse of dynamical systems. Given a dynamical system, it defines a causal relation between the inputs and the outputs. Both the inputs and the outputs are gnerally functions of time. The problem of dynamic inverse is to find an input for each given output such that the input produces an output that is in agreement with the given output in some sense. This problem of dynamic inverse may be formalized in the context of differential equations as the following. Given a system in the class of systems i=f(x,u) y = h(x) , x0 is given (1) where the state x is an n-vector, and the input u and output y are scalars. We want to find an input u(t) for each desired output r(t) such that the solution y(t) of Equation (1) with this input approximates r9t) in some sense.

Citation Download Citation

Renjeng Su and Noureddine Kermiche "Control Design With Iterative Learning", Proc. SPIE 1196, Intelligent Control and Adaptive Systems, (1 February 1990); https://doi.org/10.1117/12.969924

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