期刊
FUZZY SETS AND SYSTEMS
卷 217, 期 -, 页码 41-61出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.fss.2012.10.014
关键词
Estimator-based output feedback control; Fuzzy approach; Hamilton-Jacobi inequality; H-infinity robust control; Nervous system; Nonlinear stochastic system; Poisson noise
Because the noise for a real dynamical system may be Poisson process due to discontinuous random fluctuation, the H-infinity robust control designs for nonlinear stochastic systems with external disturbance and Poisson noise are studied. The H-infinity robust control designs need to solve Hamilton-Jacobi inequality (HJI) for these nonlinear stochastic systems to efficiently attenuate the effect of the external disturbance and Poisson noise. Since it is difficult to solve the HJI directly, the fuzzy approach is developed to simplify the design procedure of the H-infinity robust control designs for nonlinear stochastic systems with external disturbance and Poisson noise. The asymptotic stability in probability of the proposed nonlinear stochastic control systems under disturbance free condition is also discussed. If the system state variables are unavailable, then the H-infinity robust estimator-based output feedback control design is also proposed for nonlinear stochastic systems with external disturbance and Poisson noise. Finally, an example of robust control of nervous system with Poisson stimulation in Parkinsonism patients is given to confirm the performance of the proposed method. (C) 2012 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据