已为您找到该学者26条结果 成果回收站
【期刊论文】Output Feedback Control of Markovian Jump Repeated Scalar Nonlinear Systems
IEEE Transactions on Automatic Control ,2013,59(1):199 - 204
2013年06月07日
This paper is concerned with the induced ℓ 2 dynamic output feedback controller (DOFC) design problem for discrete-time Markovian jump repeated scalar nonlinear systems. By employing both the switching-sequence dependent Lyapunov function approach and the positive definite diagonally dominant Lyapunov function technique, a sufficient condition is first established, which guarantees the underlying system to be stochastically stable with an induced ℓ 2 disturbance attenuation performance. Then the desired full- or reduced-order DOFCs are designed by using projection approach. Cone complementarity linearization procedure is employed to cast the nonconvex feasibility problem into a sequential minimization problem. Finally, a numerical example is presented to show the effectiveness of the proposed methods.
无
0
-
52浏览
-
0点赞
-
0收藏
-
0分享
-
0下载
-
0
-
引用
【期刊论文】Fault Detection Filtering for Nonlinear Switched Stochastic Systems
IEEE Transactions on Automatic Control ,2015,61(5):1310 - 131
2015年08月05日
In this note, the fault detection filtering problem is solved for nonlinear switched stochastic system in the T-S fuzzy framework. Our attention is concentrated on the construction of a robust fault detection technique to the nonlinear switched system with Brownian motion. Based on observer-based fault detection fuzzy filter as a residual generator, the proposed fault detection is formulated as a fuzzy filtering problem. By the utilization of the average dwell time technique and the piecewise Lyapunov function technique, the fuzzy-parameter-dependent fault detection filters are designed that guarantee the resulted error system to be mean-square exponential stable with a weighted H ∞ error performance. Then, the corresponding solvability condition for the fault detection fuzzy filter is also established by the linearization procedure technique. Finally, simulation has been presented to show the effectiveness of the proposed fault detection technique.
无
0
-
31浏览
-
0点赞
-
0收藏
-
4分享
-
0下载
-
0
-
引用
【期刊论文】Fuzzy Filter Design for ItÔ Stochastic Systems With Application to Sensor Fault Detection
IEEE Transactions on Fuzzy Systems,2008,17(1): 233 - 242
2008年12月12日
The paper deals with the robust fault detection problem for Takagi-Sugeno (T-S) fuzzy Ito stochastic systems. Our aim is to develop a robust fault detection approach to the T-S fuzzy systems with Brownian motion. By using a general observer-based fault detection filter as a residual generator, the robust fault detection is formulated as a filtering problem. Attention is focused on the design of both the fuzzy-rule-independent and the fuzzy-rule-dependent fault detection filters guaranteeing a prescribed noise attenuation level in an H infin sense. Sufficient conditions are proposed to guarantee the mean-square asymptotic stability with an H infin performance for the fault detection system. The corresponding solvability conditions for the desired fuzzy-rule-independent and fuzzy-rule-dependent fault detection filters are also established. Finally, a numerical example is provided to illustrate the effectiveness of the proposed theory.
无
0
-
45浏览
-
0点赞
-
0收藏
-
4分享
-
0下载
-
0
-
引用
【期刊论文】Model Approximation for Discrete-Time State-Delay Systems in the T–S Fuzzy Framework
IEEE Transactions on Fuzzy Systems,2011,19(2): 366 - 378
2011年01月06日
This paper is concerned with the problem of H ∞ model approximation for discrete-time Takagi-Sugeno (T-S) fuzzy time-delay systems. For a given stable T- S fuzzy system, our attention is focused on the construction of a reduced-order model, which not only approximates the original system well in an H ∞ performance but is also translated into a linear lower dimensional system. By applying the delay partitioning approach, a delay-dependent sufficient condition is proposed for the asymptotic stability with an H ∞ error performance for the error system. Then, the H ∞ model approximation problem is solved by using the projection approach, which casts the model approximation into a sequential minimization problem subject to linear matrix inequality (LMI) constraints by employing the cone complementary linearization algorithm. Moreover, by further extending the results, H ∞ model approximation with special structures is obtained, i.e., delay-free model and zero-order model. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed methods.
无
0
-
43浏览
-
0点赞
-
0收藏
-
4分享
-
0下载
-
0
-
引用
IEEE Transactions on Fuzzy Systems,2013,22(2): 380 - 394
2013年04月04日
This paper is concerned with the problems of dissipativity analysis and synthesis for discrete-time Takagi-Sugeno fuzzy systems with stochastic perturbation and time-varying delay. First, a novel model transformation method is introduced to pull the time-varying delay uncertainty out of the original system. Consequently, the transformed model is composed of a linear time-invariant system and a norm-bounded uncertain subsystem. By using this model transformation method combined with the Lyapunov-Krasovskii technique, sufficient conditions of the dissipativity are established. Then, a fuzzy controller is designed to guarantee the dissipative performance of the closed-loop system. Finally, three examples are presented: one shows the effectiveness of model transformation method, the second performs the comparison with alternative approaches, and the third illustrates the applicability of the proposed dissipative control methods.
无
0
-
61浏览
-
0点赞
-
0收藏
-
4分享
-
0下载
-
0
-
引用
合作学者
- 暂无合作作者