DocumentCode
490645
Title
Receding Horizon Control with an Infinite Horizon
Author
Meadows, Edward S. ; Rawlings, James B.
Author_Institution
Department of Chemical Engineering, The University of Texas at Austin, Austin Texas 78712
fYear
1993
fDate
2-4 June 1993
Firstpage
2926
Lastpage
2930
Abstract
Receding horizon control, also called model predictive control, is an optimal control-based method for finding constrained feedback controllers. Several of the standard formulations provide no stability guarantees even if an optimum exists. In this paper, we extend the concept of model predictive control to an infinite horizon to show that such a formulation guarantees the stability of the resulting feedback controller. We also introduce a framework for analysis of receding horizon controllers that will allow future study of other important properties of receding horizon controllers, such as robustness and continuity of feedback control laws.
Keywords
Adaptive control; Control systems; Infinite horizon; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear equations; Optimal control; Predictive control; Predictive models; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1993
Conference_Location
San Francisco, CA, USA
Print_ISBN
0-7803-0860-3
Type
conf
Filename
4793436
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