Title :
Adaptive predictive controllers for nonlinear systems with ill-defined relative degree
Author_Institution :
Canada Res. Chair in Energy Conversion & Power Electron., Montreal, Que., Canada
Abstract :
In this paper, we present a new adaptive predictive controller solving the problem of ill-defined relative degree of certain class of nonlinear systems. This control law takes into account the unknown and time varying character of the system parameters. The convergence analysis of the new proposed adaptive control algorithm is also proved leading the tracking error asymptotically converges towards zero. Simulations results are given showing the effectiveness of the control algorithm.
Keywords :
adaptive control; control system analysis; convergence; nonlinear control systems; predictive control; time-varying systems; adaptive predictive control; convergence analysis; ill-defined relative degree; nonlinear system; time varying character; tracking error; unknown character; Adaptive control; Control systems; Convergence; Nonlinear control systems; Nonlinear systems; Optimal control; Performance analysis; Predictive control; Predictive models; Programmable control;
Conference_Titel :
Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8662-0
DOI :
10.1109/ICIT.2004.1490250
