TY - GEN
T1 - Stochastic state estimation and control for stochastic descriptor systems
AU - Gao, Zhiwei
AU - Shi, Xiaoyan
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - In this paper, a stochastic observer is proposed, which can make the estimation error dynamics to he stochastically asymptotical stable and impulse-free. Moreover, an integrated estimation and feedback control mechanism is presented, which can make both the state and error dynamics stochastically asymptotical stable and impulse-free. Simulated results demonstrate the efficiency of the proposed approach. Finally, this technique is extended to fuzzy stochastic systems.
AB - In this paper, a stochastic observer is proposed, which can make the estimation error dynamics to he stochastically asymptotical stable and impulse-free. Moreover, an integrated estimation and feedback control mechanism is presented, which can make both the state and error dynamics stochastically asymptotical stable and impulse-free. Simulated results demonstrate the efficiency of the proposed approach. Finally, this technique is extended to fuzzy stochastic systems.
KW - Decriptor systems
KW - Fuzzy systems
KW - Signal estimation
KW - Stochastic systems
UR - http://www.scopus.com/inward/record.url?scp=58049131253&partnerID=8YFLogxK
U2 - 10.1109/RAMECH.2008.4681339
DO - 10.1109/RAMECH.2008.4681339
M3 - Conference contribution
AN - SCOPUS:58049131253
SN - 9781424416769
T3 - 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
SP - 331
EP - 336
BT - 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
T2 - 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
Y2 - 21 September 2008 through 24 September 2008
ER -