Title :
Stable discrete-time adaptive control in the presence of unmodeled dynamics
Author :
Cluett, W.R. ; Martin-Sanchez, J.M. ; Shah, S.L. ; Fisher, D.G.
Author_Institution :
Dept. of Chem. Eng. & Appl. Chem., Toronto Univ., Ont., Canada
fDate :
4/1/1988 12:00:00 AM
Abstract :
Results obtained previously on the stability of adaptive predictive control systems are generalized by reducing the requirements for stability to a single condition that is applicable to linear discrete processes with disturbances and unmodeled plant dynamics. The proposed design approach uses a normalized parameter estimation scheme, which permits a formal proof that the modeling errors can be treated as a bounded disturbance, and a parameter adaptation stopping criterion to guarantee global stability
Keywords :
adaptive control; control system synthesis; discrete time systems; parameter estimation; predictive control; stability; adaptive predictive control systems; bounded disturbance; design; discrete-time adaptive control; modeling errors; normalized parameter estimation; parameter adaptation stopping criterion; stability; unmodeled dynamics; Adaptive control; Adaptive systems; Error correction; Parameter estimation; Predictive control; Predictive models; Programmable control; Robust control; Stability analysis; Stability criteria;
Journal_Title :
Automatic Control, IEEE Transactions on
