Share Email Print

Proceedings Paper

Control Design With Iterative Learning
Author(s): Renjeng Su; Noureddine Kermiche
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 1 February 1990
PDF: 7 pages
Proc. SPIE 1196, Intelligent Control and Adaptive Systems, (1 February 1990); doi: 10.1117/12.969924
Show Author Affiliations
Renjeng Su, University of Colorado (United States)
Noureddine Kermiche, University of Colorado (United States)

Published in SPIE Proceedings Vol. 1196:
Intelligent Control and Adaptive Systems
Guillermo Rodriguez, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?