Title :
Adaptive output feedback regulation of a class of nonlinear systems
Author :
Aloliw, Bader ; Khalil, Hassan K.
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
In this paper we consider a minimum-phase, input-output linearizable system that is represented globally by an nth order differential equation. The nonlinearities of the system depend linearly on unknown parameters which belong to a known convex set. We design a semiglobal adaptive output feedback controller to ensure boundedness of all state variables and regulation of the output to zero (an open-loop equilibrium condition). It is shown that the adaptive controller is robust with respect to bounded disturbances in the sense that the root mean square regulation error is of the order of the magnitude of the disturbance. Moreover, if the disturbance vanishes when the input and output are identically zero and if its slope is sufficiently small, then the adaptive controller will ensure convergence of the regulation error
Keywords :
adaptive control; differential equations; feedback; nonlinear control systems; robust control; stability criteria; adaptive output feedback regulation; high-order differential equation; minimum-phase input-output linearizable system; nonlinear systems; nonlinearities; open-loop equilibrium condition; regulation error convergence; robustness; root mean square regulation error; semiglobal adaptive output feedback controller; state variable boundedness; Adaptive control; Control systems; Error correction; Nonlinear control systems; Nonlinear systems; Open loop systems; Output feedback; Programmable control; Robustness; Root mean square;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.479223