Title :
Optimal feedback switching laws for autonomous hybrid automata
Author :
Corona, Daniele ; Giua, Alessandro ; Seatzu, Carla
Author_Institution :
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
Abstract :
We define a new class of hybrid systems called autonomous hybrid automata that can be seen as a generalization of the class of switched systems we have considered in previous works. In this new model there are two types of edges: a controllable edge represents a mode switch that can be triggered by the controller; an autonomous edge represents a mode switch that is triggered by the continuous state of the system as it reaches a given threshold. We show how to solve an infinite time horizon quadratic optimization problem with a numerically viable procedure for such a class of hybrid automata; the optimal control law is a state-feedback.
Keywords :
automata theory; optimal control; optimisation; state feedback; time-varying systems; autonomous edge; autonomous hybrid automata; controllable edge; infinite time horizon quadratic optimization problem; mode switch; optimal control law; optimal feedback switching laws; state-feedback; switched systems; Automata; Automatic control; Circuits; Control systems; Corona; Feedback; Optimal control; State-space methods; Switched systems; Switches;
Conference_Titel :
Intelligent Control, 2004. Proceedings of the 2004 IEEE International Symposium on
Print_ISBN :
0-7803-8635-3
DOI :
10.1109/ISIC.2004.1387654