Title :
Adaptive pole placement without excitation probing signals
Author :
Lozano, Rogelio ; Zhao, Xiao-Hui
Author_Institution :
URA CNRS, Univ. de Technol. de Compiegne, France
fDate :
1/1/1994 12:00:00 AM
Abstract :
This paper presents an indirect adaptive control scheme for linear systems which may possibly be a nonminimum phase. The control scheme achieves asymptotical pole placement without either introducing persistent excitation probing signals into the systems or assuming any a priori knowledge on the plant parameters. The system order is the only a priori knowledge required on the plant. The adaptive control law is free from singularities in the sense that the estimated plant model is always controllable. The singularities are overcome by a suitable parameter estimates modification which is based upon standard least squares covariance matrix properties. The analysis of the stability and the global convergence of a closed-loop system is given in detail for both discrete-time and continuous-time systems
Keywords :
adaptive control; closed loop systems; least squares approximations; linear systems; parameter estimation; poles and zeros; stability; adaptive pole placement; asymptotical pole placement; closed-loop system; continuous-time systems; discrete-time; global convergence; indirect adaptive control; parameter estimates; stability; standard least squares covariance matrix; Adaptive control; Control systems; Convergence; Covariance matrix; Least squares approximation; Linear systems; Parameter estimation; Phase estimation; Programmable control; State feedback;
Journal_Title :
Automatic Control, IEEE Transactions on