Title :
Hybrid control based on discrete-event automata and receding-horizon neural controllers
Author :
Parisini, T. ; Sacone, S.
Author_Institution :
Dept. of Electron. Eng. & Inf. Sci., Politecnico di Milano, Italy
Abstract :
A hybrid control scheme for nonlinear discrete-time systems represented by a new class of hybrid automata, the discrete-time discrete-event automata, is proposed in this paper. A further innovative aspect of the proposed control scheme is the adoption of approximate neural receding-horizon regulators at the continuous level. The stability analysis of the proposed hybrid receding-horizon control approach is also described
Keywords :
automata theory; discrete event systems; feedforward neural nets; neurocontrollers; nonlinear systems; optimal control; stability; discrete-event automata; discrete-time systems; feedforward neural networks; neurocontrollers; nonlinear systems; receding-horizon control; stability; Automata; Automatic control; Communication system control; Control systems; Equations; Logic; Neural networks; Nonlinear control systems; Regulators; Stability analysis;
Conference_Titel :
Intelligent Control, 2000. Proceedings of the 2000 IEEE International Symposium on
Conference_Location :
Rio Patras
Print_ISBN :
0-7803-6491-0
DOI :
10.1109/ISIC.2000.882941
