Title :
Receding horizon cost optimization for overly constrained nonlinear plants
Author :
Angeli, David ; Amrit, Rishi ; Rawlings, James B.
Abstract :
A receding horizon control algorithm, originally proposed for tracking best-possible steady-states in the presence of overly stringent state and/or input constraints, is analyzed for the case of nonlinear plant models and possibly non-convex cost functionals. Unlike the linear case (with convex cost functionals), convergence to equilibrium is not always possible and only average performance bounds are guaranteed in general.
Keywords :
concave programming; constraint theory; costing; nonlinear control systems; predictive control; nonconvex cost functional; overly constrained nonlinear plants; receding horizon cost optimization; steady-state tracking; Algorithm design and analysis; Constraint optimization; Convergence; Cost function; Design optimization; Discrete time systems; Economic forecasting; Linearity; Process control; Steady-state;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400707
