Title :
Stable auto-tuning of the adaptation gain for direct adaptive control
Author :
Nounou, Hazem N. ; Passino, Kevin M.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
Direct adaptive control is a widely known control scheme in which the controller attempts to approximate the ideal controller directly. “Approximators” such as linear mappings, polynomials, fuzzy systems, or neural networks can be used. Here, we present two algorithms to tune the adaptation gain for a gradient based approximator parameter update law used for a class of nonlinear discrete-time systems
Keywords :
adaptive control; discrete time systems; nonlinear control systems; optimal control; self-adjusting systems; stability; tuning; SISO systems; auto-tuning; direct adaptive control; discrete-time systems; nonlinear systems; optimal control; stability; Adaptive control; Control systems; Fuzzy systems; Linear approximation; Linear systems; Neural networks; Nonlinear control systems; Nonlinear systems; Polynomials; Programmable control;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.879582
