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T-S FUZZY MODEL-BASED MEMORY CONTROL FOR DISCRETE-TIME SYSTEM WITH RANDOM INPUT DELAY | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 6، دوره 8، شماره 3، زمستان 2011، صفحه 67-79 اصل مقاله (374.8 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2011.287 | ||
| نویسندگان | ||
Jinliang Liu  1؛ Zhou Gu2؛ Hua Han3؛ Songlin Hu4
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| 1Department of Applied Mathematics, Nanjing University of Finance and Economics, Nanjing, 210046, P. R. China and the College of Information Sciences, Donghua University, Shanghai, 201620, P. R. China | ||
| 2Power Engineering, Nanjing Normal University, Nanjing, Jiangsu, 210042, P. R. China | ||
| 3College of Information Science and Technology, Donghua University, Shanghai, 201620, P. R.China | ||
| 4Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China | ||
| چکیده | ||
| A memory control for T-S fuzzy discrete-time systems with sto- chastic input delay is proposed in this paper. Di erent from the common assumptions on the time delay in the existing literatures, it is assumed in this paper that the delays vary randomly and satisfy some probabilistic dis- tribution. A new state space model of the discrete-time T-S fuzzy system is derived by introducing some stochastic variables satisfying Bernoulli random binary distribution and using state augmentation method, some criterion for the stochastic stability analysis and stabilization controller design are derived for T-S fuzzy systems with stochastic time-varying input delay. Finally, a nu- merical example is given to demonstrate the e ectiveness and the merit of the proposed method. | ||
| کلیدواژه‌ها | ||
| Memory control؛ Fuzzy System؛ Random input delay؛ Discrete-time system | ||
| مراجع | ||
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[1] Y. Cao and P. Frank, Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach, IEEE Trans. On fuzzy systems, 8(2) (2000), 200-211. [2] Y. Cao and P. Frank, Stability analysis and synthesis of nonlinear time-delay systems via linear Takagi{Sugeno fuzzy models, Fuzzy Sets and Systems, 142(2) (2001), 213-229. [3] B. Chen, X. Liu, S. Tong and C. Lin, Observer-based stabilization of TS fuzzy systems with input delay, IEEE Trans. On Fuzzy Systems, 16(3) (2008), 652-663. [4] B. Chen, X. Liu, C. Lin and K. Liu, Robust H1 control of Takagi{Sugeno fuzzy systems with state and input time delays, Fuzzy Sets and Systems, 160(4) (2009), 403-422. [5] G. Feng and X. Guan, Delay-dependent stability analysis and controller synthesis for discrete- time T-S fuzzy systems with time delays, IEEE Trans. On Fuzzy Systems, 13(5) (2005), 630-643. [6] G. Feng, A survey on analysis and design of model-based fuzzy control systems, IEEE Trans. On Fuzzy systems, 14(5) (2006), 676-697. [7] E. Fridman and U. Shaked, Delay-dependent H1 control of uncertain discrete delay systems, European Journal of Control, 11(1) (2005), 29-37. [8] E. Fridman and U. Shaked, Stability and guaranteed cost control of uncertain discrete delay systems, International Journal of Control, 78(4) (2005), 235-246. [9] H. Gao and T. Chen, New results on stability of discrete-time systems with time-varying state delay, IEEE Trans. on Automatic Control, 52(2) (2007), 328-334. [10] H. Gao, X. Meng and T. Chen, Stabilization of networked control systems with a new delay characterization, IEEE Trans. On Automatic Control, 53(9) (2008), 2142-2148. [11] X. Guan and C. Chen, Delay-dependent guaranteed cost control for TS fuzzy systems with time delays, IEEE Trans. On Fuzzy Systems, 12(2) (2004), 236-249. [12] H. Huang and F. Shi, Robust H1 control for TCS time-varying delay systems with norm bounded uncertainty based on LMI approach, Iranian Journal of Fuzzy Systems, 6(1) (2009), 1-14. [13] J. Liu, W. Yu, Z. Gu and S. Hu, H1 ltering for time-delay systems with markovian jumping parameters: delay partitioning approach, Journal of the Chinese Institute of Engineers, 33(3) (2010), 357-365. [14] J. Liu, Z. Gu, E. Tian and R. Yan, New results on H1 lter design for nonlinear systems with time-delay through a T-S fuzzy model approach, International Journal of Systems Science, First published on: 16 August 2010 (iFirst). [15] X. Liu and Q. Zhang, Approaches to quadratic stability conditions and H1 control designs for TS fuzzy systems, IEEE Trans. On Fuzzy Systems, 11(6) (2003), 830-839. [16] K. Lee, J. Kim, E. Jeung and H. Park, Output feedback robust H1 control of uncertainfuzzy dynamic systems with time-varying delay, IEEE Trans. On Fuzzy systems, 8(6) (2000), 657- 664. [17] C. Peng, Y. Tian and E. Tian, Improved delay-dependent robust stabilization conditions of uncertain T{S fuzzy systems with time-varying delay, Fuzzy Sets and Systems, 159(20) (2008), 2713-2729. [18] C. Peng, D. Yue and Y. Tian, New approach on robust delay-dependent H1 control for uncertain TS fuzzy systems with interval time-varying delay, IEEE Trans. On Fuzzy Systems, 17(4) (2009), 890-900. [19] T. Takagi and M. Sugeno, Fuzzy identi cation of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics, 15(1) (1985), 116-132. [20] E. Tian and C. Peng, Delay-dependent stability analysis and synthesis of uncertain T{S fuzzy systems with time-varying delay, Fuzzy Sets and Systems, 157(4) (2006), 544-559. [21] H. Wang, K. Tanaka and M. Grin, An approach to fuzzy control of nonlinear systems: stability and design issues, IEEE Trans. On Fuzzy Systems, 4(1) (1996), 14-23. [22] J. Yoneyama, Robust stability and stabilization for uncertain Takagi{Sugeno fuzzy time-delay systems, Fuzzy Sets and Systems, 158(2) (2007), 115-134. [23] D. Yue, Q. Han and J. Lam, Network-based robust H1 control of systems with uncertainty, Automatica, 41(6) (2005), 999-1007. [24] D. Yue, Q. Han and C. Peng, State feedback controller design of networked control systems, IEEE Trans. On Circuits and Systems Part II: Express Briefs, 51(11) (2004), 640-644. | ||
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