Title :
Quantized optimal control of discrete-time systems
Author :
Corona, Daniele ; Giua, Alessandro ; Seatzu, Carla
Author_Institution :
Dipt. di Ing. Elettrica ed Elettronica, Cagliari Univ.
Abstract :
In this paper we consider a quantized discrete-time linear quadratic regulator (DLQR) problem, namely a DLQR problem where the input u may only take values in a given finite set 14. Eased on our previous results on the optimal control of hybrid systems we show that the optimal control law for the quantized DLQR problem takes the form of a feedback control law, that can be obtained from a partition of the state space C, computed off-line. The numerical simulations carried out enabled us to observe a particular structure of C, related to the solution of the non-quantized DLQR problem. The lines of our future research in this topic are described in details in the last section, devoted to conclusions and future work
Keywords :
controllers; discrete time systems; feedback; linear quadratic control; state-space methods; discrete-time system; feedback control law; hybrid system; quantized discrete-time linear quadratic regulator problem; quantized optimal control law; state space partition; Computational modeling; Control systems; Corona; Feedback control; Linear feedback control systems; Measurement standards; Optimal control; Regulators; State-space methods; Switched systems;
Conference_Titel :
Emerging Technologies and Factory Automation, 2005. ETFA 2005. 10th IEEE Conference on
Conference_Location :
Catania
Print_ISBN :
0-7803-9401-1
DOI :
10.1109/ETFA.2005.1612533