Title :
On the Infinite Horizon Performance of Receding Horizon Controllers
Author :
Grüne, Lars ; Rantzer, Anders
Author_Institution :
Math. Inst., Bayreuth Univ., Bayreuth
Abstract :
Receding horizon control is a well established approach for control of systems with constraints and nonlinearities. Optimization over an infinite time-horizon, which is often computationally intractable, is therein replaced by a sequence of finite horizon problems. This paper provides a method to quantify the performance degradation that comes with this approximation. Results are provided for problems both with and without terminal costs and constraints and for both exactly and practically asymptotically stabilizable systems.
Keywords :
approximation theory; asymptotic stability; control system analysis; optimisation; predictive control; asymptotically stabilizable systems; constraints; infinite time-horizon; performance degradation; receding horizon controllers; terminal costs; Control nonlinearities; Control systems; Cost function; Extraterrestrial measurements; Infinite horizon; Linear systems; Nonlinear control systems; Nonlinear systems; Optimal control; Predictive control; Dynamic programming; model predictive control (MPC); receding horizon control (RHC); suboptimality;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2008.927799