Title :
Adaptive Tracking for Simple Linear Plants with Unknown Control Direction
Author :
Rong-Yao Ruan ; Yong-zhi Li ; Ming, Feng ; Ren-Liang Pan
Author_Institution :
Dept. of Math., East China Normal Univ., Shanghai
Abstract :
Examining adaptive trackers for a class of the first-order linear continuous-time plants, with different estimators, and the modified certainty equivalence pole-placement control law, we overcome the difficulty of a loss of stabilizability (or controllability) when the estimate of the plant gain is zero and point out a few substantive mistakes of the results from Middleton and Kokotovic´s paper (1992). In the constructed adaptive tracking systems, the explicit expression for the phase-plane trajectories or the explicit solution completely describing the nonlinear behavior of the resulting closed-loop systems are obtained, and some problems of these adaptive tracking systems, due to a loss of stabilizability of the estimated model probably, are analyzed
Keywords :
adaptive control; closed loop systems; continuous time systems; control nonlinearities; controllability; equivalence classes; linear systems; pole assignment; stability; adaptive tracking; boundedness property; certainty equivalence; closed-loop system; controllability; linear continuous-time plants; nonlinear behavior; phase-plane trajectory; pole placement control; stabilizability; Adaptive control; Adaptive systems; Control systems; Controllability; Forestry; Information science; Mathematics; Nonlinear control systems; Phase estimation; Programmable control; boundedness properties; continuous-time plants; control direction; indirect adaptive tracking; nonlinear behavior;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345460