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
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;
Conference_Titel :
American Control Conference, 1993
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-0860-3