Title :
Chaotic and stochastic processes: Markov modeling approach
Author :
Arkov, Valentin Y. ; Kulikov, Gennady G. ; Breikin, Timofei V. ; Patel, Vijay C.
Author_Institution :
Inst. of Mech., Acad. of Sci., Ufa, Russia
Abstract :
This paper focuses on a modeling approach being investigated for chaotic and stochastic dynamic systems. A novel approach of applying Markov chains to these systems is proposed. Equivalent transformation from the Markov model to a parametric model is also discussed
Keywords :
Markov processes; chaos; probability; state-space methods; stochastic systems; Markov chains; Markov modeling approach; chaotic processes; chaotic systems; parametric model; stochastic dynamic systems; stochastic processes; Aircraft propulsion; Chaos; Control system synthesis; Engines; Hidden Markov models; Markov processes; Modeling; Process control; Stochastic processes; Turbines;
Conference_Titel :
Control of Oscillations and Chaos, 1997. Proceedings., 1997 1st International Conference
Conference_Location :
St. Petersburg
Print_ISBN :
0-7803-4247-X
DOI :
10.1109/COC.1997.626652
