Title :
Feedback linearizing control of discrete-time nonlinear systems with constraints
Author :
Kurtz, Michael J. ; Henson, Michael A.
Author_Institution :
Dept. of Chem. Eng., Louisiana State Univ., Baton Rouge, LA, USA
fDate :
31 Mar-2 Apr 1996
Abstract :
A feedback linearization strategy for discrete-time nonlinear systems subject to input constraints is developed and analyzed. The control system comprises: (i) a feedback linearizing controller; (ii) a constraint mapping algorithm that transforms the input constraints into constraints on the feedback linearized system; and (iii) a model predictive controller that regulates the resulting constrained linear system. The stability properties of the proposed control strategy are investigated for both completely and partially feedback linearizable systems
Keywords :
discrete time systems; feedback; linearisation techniques; nonlinear control systems; predictive control; stability; completely feedback linearizable systems; constraint mapping algorithm; discrete-time nonlinear systems; feedback linearizing control; input constraints; model predictive controller; partially feedback linearizable systems; stability properties; Control system synthesis; Control systems; Input variables; Linear feedback control systems; Linear systems; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Predictive models; State feedback;
Conference_Titel :
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location :
Baton Rouge, LA
Print_ISBN :
0-8186-7352-4
DOI :
10.1109/SSST.1996.493465
