DocumentCode :
2408274
Title :
Modelling hybrid systems as games
Author :
Nerode, Anil ; Yakhnis, Alexander
Author_Institution :
Math. Sci. Inst., Cornell Univ., Ithaca, NY, USA
fYear :
1992
fDate :
1992
Firstpage :
2947
Abstract :
The authors propose a game framework for analyzing, extracting, and verifying digital control programs for continuous plants by regarding such programs as finite-state winning strategies in associated games. They call such interacting systems of digital control programs and continuous plants `hybrid systems´ and model them as networks of interacting concurrent digital programs or automata, following the approach of Nerode and Remmel (1990). This extends to hybrid systems the paradigm introduced by A. Nerode et al. (1992) for analyzing concurrent digital programs meeting program specifications as winning finite-state strategies in associated two-person games. This formulation is intended to facilitate the transfer of recent tools from logic and concurrency and dynamical systems to extraction and verification of digital control programs for continuous systems
Keywords :
control system analysis; digital control; finite automata; game theory; multiprocessing programs; program verification; programming theory; automata; continuous plants; digital control programs; dynamical systems; finite-state winning strategies; games; hybrid systems; interacting concurrent digital programs; interacting systems; logic; program analysis; program extraction; program specifications; program verification; Automata; Computational modeling; Computer science; Concurrent computing; Continuous time systems; Control theory; Data mining; Digital control; Dynamic programming; Logic; Logic programming; Mathematical model; Optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
Type :
conf
DOI :
10.1109/CDC.1992.371272
Filename :
371272
Link To Document :
بازگشت