Abstract
Due to the interactions among coupled spatio-temporal subsystems and the constant bias term of affine chaos, it is difficult to achieve tracking control for the affine coupled spatio-temporal chaos. However, every subsystem of the affine coupled spatio-temporal chaos can be approximated by a set of fuzzy models; every fuzzy model represents a linearized model of the subsystem corresponding to the operating point of the controlled system. Because the consequent parts of the fuzzy models have a constant bias term, it is very difficult to achieve tracking control for the affine system. Based on these fuzzy models, considering the affine constant bias term, an H ∞ fuzzy tracking control scheme is proposed. A linear matrix inequality is employed to represent the feedback controller, and parameters of the controller are achieved by convex optimization techniques. The tracking control for the affine coupled spatio-temporal chaos is achieved, and the stability of the system is also guaranteed. The tracking performances are testified by simulation examples.
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References
E. J. Davison, The decentralized stabilization and control of unkown nonlinear time vary systems, Automatica, 10(1994)5, 309–316.
B. S. Chen, W. S. You, Robust stabilization in observer based feedback control system under nonlinear time-vary perturbations or un-modeled dynamics, IEEE Trans. on Automatic Control, 32(1987)12, 1131–1135.
B. S. Chen, C. S. Tseng, Robustness design of nonlinear dynamic systems via fuzzy linear control, IEEE Trans. on Fuzzy Syst., 7(1999)5, 571–585.
C. S. Tseng, B. S. Chen, Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model, IEEE Trans. on Fuzzy Syst., 9(2001)3, 381–392.
B. S. Chen, C. H. Lee, et al., H ∞ tracking design of uncertain nonlinear SISO systems: Adaptive fuzzy approach, IEEE Trans. on Fuzzy Syst., 4(1996)4, 32–43.
C. S. Tseng, B. S. Chen, H ∞ decentralized fuzzy model reference tracking control design for nonlinear interconnected systems, IEEE Trans. on Fuzzy Syst., 9(2001)2, 795–809.
B. S. Chen, C. S. Tseng, et al., Mixed H 2/H ∞ fuzzy output feedback control design for nonlinear dynamic systems: An LMI approach, IEEE Trans. on Fuzzy Syst., 8(2000)4, 249–265.
E. Kim, H. Lee, New approaches to related quadratic stability condition of fuzzy control systems, IEEE Trans. on Fuzzy Syst., 8(2000)6, 523–534.
D. D. Siljak, M. Vukcevic, Decentralization, stabilization and estimation of large-scale systems, IEEE Trans. on Automatic Control, 21(1986)4, 363–366.
E. Kim, S. Kim, Stability analysis and synthesis for an affine fuzzy control system via LNI and ILMI: Continuous case, IEEE Trans. on Fuzzy Syst., 10(2002)3, 391–400.
W. S. Chan, C. A. Desoer, Eigenvalue assignment and stabilization of interconnected systems using local feedback, IEEE Trans. on Automatic Control, 25(1980)7, 106–107.
S. Boyd, L. E. Ghaohi, et al., Linear Matrix Inequalities in System and Control Theory, Philadelphia, SIAM Academic Publishers, 1994.
C. Scherer, P. Gahinet, Multiobjective output-feedback control via LMI optimization, IEEE Trans. on Automatic Control, 42(1997)9, 896–911.
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Supported by the National Natural Science Foundation of China (No.60102002) and Foundation of Huo Yingdong (No.81057)
Communication author: Dou Chunxia, born in 1967, female, associate professor. College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.
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Dou, C., Zhang, S. An H ∞ fuzzy tracking control scheme for affine coupled spatio-temporal chaosfuzzy tracking control scheme for affine coupled spatio-temporal chaos. J. of Electron.(China) 22, 59–65 (2005). https://doi.org/10.1007/BF02687952
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DOI: https://doi.org/10.1007/BF02687952