Title :
A new approach for instantaneous pole placement and its application in control of nonlinear time-varying systems
Author :
Karami-Mollaee, Ali ; Karami-Mollaee, M.R.
Author_Institution :
Electrical Engineering Department, Tarbiat Modarres Universily (TMU), P.O. Box 141 15-1 43, Tehran, Iran
Abstract :
In this paper, we first show that dynamical recurrent neural networks for online computation of feedback gain that in recent years have been used for pole placement of nonlinear systems is not reliable, and then suggest a new strategy for overcoming its drawback. The result of this strategy is global exponential stability of nonlinear system.
Keywords :
Computer networks; Control systems; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear systems; Stability; State feedback; Time varying systems; Vectors; Pole placement; instantaneous linearization; nonlinear control;
Conference_Titel :
Automation Congress, 2004. Proceedings. World
Print_ISBN :
1-889335-21-5
