Title :
A GSMP model-framework for continuous-time dynamic systems
Author :
Zhuang, Zhifeng ; Frank, Paul M.
Author_Institution :
Duisburg Univ., Germany
Abstract :
In the paper the framework of generalized semi-Markov processes is applied to represent a continuous-time continuous variable dynamic system with inaccurate parameters. In this model framework the characteristics of state abstraction in qualitative reasoning is retained and a probability measure for depicting the uncertain system is provided. The emphasis is put on the construction of Markov chains to approximately describe the system
Keywords :
Markov processes; modelling; uncertain systems; GSMP model-framework; Markov chains; continuous-time continuous variable dynamic system; continuous-time dynamic systems; generalized semi-Markov processes; inaccurate parameters; probability measure; qualitative reasoning; state abstraction; uncertain system; Analytical models; Automata; Differential equations; Fault diagnosis; Monitoring; Nonlinear systems; State-space methods; Stochastic systems; Uncertain systems;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703577
