Title :
Adaptive Tracking for Nonlinear Plants Using Multiple Identification Models and State-Feedback
Author :
Cezayirli, Ahmet ; Ciliz, Kemal
Author_Institution :
Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul
Abstract :
Indirect adaptive control of control-affine nonlinear systems is considered in this study. A new methodology is proposed, which makes use of multiple identification models. Switching criterion between the models and enhancement of the transient response with the use of multiple models are discussed. The study is verified by simulation of a nonlinear system
Keywords :
adaptive control; nonlinear control systems; state feedback; time-varying systems; transient response; control-affine nonlinear systems; indirect adaptive control; multiple identification models; nonlinear plant adaptive tracking; state-feedback; switching criterion; transient response; Adaptive control; Control system synthesis; Control systems; Linear systems; Nonlinear control systems; Nonlinear systems; Programmable control; Transient response; Uncertainty; Vectors;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347295
