Local H∞ Control for Continuous-time Takagi-Sugeno Fuzzy Model
-
摘要: 针对含有外部扰动的连续Takagi-Sugeno模糊系统,本文给出了抑制这种扰动的局部H∞控制新方法. 首先,应用拉格朗日极值法给出了新的界定隶属函数导数的条件,与现有文献相比该条件有两个优点:1)能够将 Lyapunov水平集必须包含在紧集C中的要求转化为线性矩阵不等式 (Linear matrix inequality,LMI);2)能够找出比现有文献大的稳定区域. 然后,基于此条件得到了局部H∞控制定理. 最后通过两个仿真算例证明了该方法的有效性.
-
关键词:
- Takagi-Sugeno 模糊系统 /
- 非平行控制律 /
- H∞性能 /
- 线性矩阵不等式
Abstract: In this brief paper, a new local H∞ control method is proposed to reject the disturbance for continue-time Takagi-Sugeno fuzzy model. First, some new conditions are obtained by using the Lagrange multiplier method to bound the time derivatives on the membership function. Compared with the latest results in the literature, the merits of new conditions are two points: 1) We can get some linear matrix inequalities (LMIs) to ensure the requirement that the local stabilization region should be contained in C; 2) We can find a larger stabilization region than the latest results. Then, the H∞ control theorem is obtained based on the new conditions. In the end, two examples borrowed from the literature show the effectiveness of the conclusions. -
[1] Takagi T, Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, 1985, SMC-15(1): 116-132 [2] Wang W J, Chen Y J, Sun C H. Relaxed stabilization criteria for discrete-time T-S fuzzy control systems based on a switching fuzzy model and piecewise Lyapunov function. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2007, 37(3): 551-559 [3] Ding B C, Sun H X, Yang P. Further studies on LMI-based relaxed stabilization conditions for nonlinear systems in Takagi-Sugeno's form. Automatica, 2006, 42(3): 503-508 [4] Sala A, Ariño C. Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: Applications of Polya's theorem. Fuzzy Sets and Systems, 2007, 158(24): 2671-2686 [5] Guerra T M, Vermeiren L. LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form. Automatica, 2004, 40(5): 823-829 [6] Liu X D, Zhang Q L. New approaches to H∞ controller designs based on fuzzy observers for T-S fuzzy systems via LMI. Automatica, 2003, 39(9): 1571-1582 [7] Feng G, Chen M, Sun D, Zhang T J. Approaches to robust filtering design of discrete time fuzzy dynamic systems. IEEE Transactions on Fuzzy Systems, 2008, 16(2): 331-340 [8] Gao H J, Zhao Y, Lam J, Chen K. H∞ fuzzy filtering of nonlinear systems with intermittent measurements. IEEE Transactions on Fuzzy Systems, 2009, 17(2): 291-300 [9] Lin C, Wang Q G, Lee T H, He Y, Chen B. Observer-based H∞ fuzzy control design for T-S fuzzy systems with state delays. Automatica, 2008, 44(3): 868-874 [10] Zhao Y, Gao H J, Lam J, Du B Z. Stability and stabilization of delayed T-S fuzzy systems: a delay partitioning approach. IEEE Transactions on Fuzzy Systems, 2009, 17(4): 750-762 [11] Zhao Y, Gao H J. Fuzzy-model-based control of an overhead crane with input delay and actuator saturation. IEEE Transactions on Fuzzy Systems, 2012, 20(1): 181-186 [12] Gao H J, Liu X M, Lam J. Stability analysis and stabilization for discrete-time fuzzy systems with time-varying delay. IEEE Transactions on Systems, Man, and Cybernetics, Part B, Cybernetics, 2009, 39(2): 306-317 [13] Feng J, Wang S Q. Reliable fuzzy control for a class of nonlinear networked control systems with time delay. Acta Automatica Sinica, 2012, 38(7): 1091-1099 [14] Xia Z L, Li J M. Delay-dependent H∞ control for T-S fuzzy systems based on a switching fuzzy model and piecewise Lyapunov function. Acta Automatica Sinica, 2009, 35(9): 1235 -1239 [15] Wu H N, Zhang H Y. Reliable H∞ fuzzy control for a class of discrete-time nonlinear systems using multiple fuzzy lyapunov functions. IEEE Transactions on Circuits and Systems Ⅱ: Express Briefs, 2007, 54(4): 357-361 [16] Tanaka K, Hori T, Wang H O. A multiple Lyapunov function approach to stabilization of fuzzy control systems. IEEE Transactions on Fuzzy Systems, 2003, 11(4): 582-589 [17] Tognetti E S, Oliveira R C L F, Peres P L D. Selective H_2 and H∞ stabilization of Takagi-Sugeno fuzzy systems. IEEE Transactions on Fuzzy Systems, 2011, 19(5): 890-900 [18] Guerra T M, Bernal M. A way to eSCApe from the quadratic framework. In: Proceedings of the 18th international conference on Fuzzy Systems. PiSCAtaway, NJ, USA: IEEE, 2009. 784-789 [19] Bernal M, Guerra T M. Generalized nonquadratic stability of continuous-time Takagi-Sugeno models. IEEE Transactions on Fuzzy Systems, 2010, 18(4): 815-822 [20] Pan J T, Guerra T M, Fei S M, Jaadari A. Non-quadratic stabilization of continuous T-S fuzzy models: LMI solution for a local approach. IEEE Transactions on Fuzzy Systems, 2012, 20(3): 594-602 [21] Bernal M, Soto-Cota A, Cortez J, Pitarch J L. Local non-quadratic H∞ control for continuous-time Takagi-Sugeno models. In: Proceedings of the 2011 IEEE International Conference on Fuzzy Systems (FUZZ). Taipei, China: IEEE, 2011. 1615-1620 [22] Hu T S, Lin Z L, Chen B M. An analysis and design method for linear system subject to actuator saturation and disturbance. Automatica, 2002, 38(2): 351-359
点击查看大图
计量
- 文章访问数: 1645
- HTML全文浏览量: 48
- PDF下载量: 991
- 被引次数: 0