Title :
Stochastic observer design for Markovian jump Lur´e differential inclusion system
Author :
Jun Huang ; Lei Yu ; Lining Sun
Author_Institution :
Sch. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China
fDate :
May 31 2014-June 2 2014
Abstract :
This paper deals with the observer design for the Lur´e differential inclusion system with Markovian jump parameters. The information of transition probabilities is partially unknown. The stochastic observer is designed to make the error system exponentially stable in mean square. The condition for the existence of the stochastic observer is given by a set of linear matrix inequalities and linear matrix equalities. Finally, the rotor system is simulated to show the effectiveness of the proposed observer.
Keywords :
Markov processes; asymptotic stability; linear matrix inequalities; mean square error methods; observers; probability; Markovian jump Lur´e differential inclusion system; Markovian jump parameters; error system; exponential stability; linear matrix equalities; linear matrix inequalities; mean square; rotor system simulation; stochastic observer design; transition probabilities; Educational institutions; Linear matrix inequalities; Observers; Rotors; Silicon; Stability analysis; Stochastic processes; Lur´e differential inclusions; Markovian jump parameters; Stochastic observer; Unknown transition probabilities;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852128