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Stability analysis and dynamic output feedback control for fuzzy networked control systems with mixed time-varying delays and interval distributed time-varying delays

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Abstract

This paper addresses the stability analysis and dynamic output feedback control for a class of T–S fuzzy networked control systems with mixed time-varying delays and interval distributed time-varying delays. Firstly, the T–S fuzzy model is employed to approximate the networked control system based on the system model. Secondly, the dynamic output feedback controller with hybrid intermittent feedback control law is designed for the T–S fuzzy networked control system. Thirdly, the delay-dependent stability conditions are derived by introducing the Lyapunov functional with Leibniz–Newton formula. Compared with previous works, both the mixed time-varying delays and interval distributed time-varying delays are considered in the T–S fuzzy networked control system. The control design conditions are relaxed because of the proposed controller. By introducing the Lyapunov functional with Leibniz–Newton formula, the linear matrix inequalities are solved effectively by the standard convex optimization algorithm. Finally, the simulation examples and some computing results are given to show the effectiveness and advantage of the proposed method, respectively.

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References

  1. Qiu JB, Feng G, Gao H (2017) Observer-based piecewise affine output feedback controller synthesis of continuous-time T–S fuzzy affine dynamic systems using quantized measurements. IEEE Trans Fuzzy Syst 20(6):1046–1062

    Google Scholar 

  2. Qiu JB, Tian H, Lu QG, Gao HJ (2017) Nonsynchronized robust filtering design for continuous-time T–S fuzzy affine dynamic systems based on piecewise Lyapunov functions. IEEE Trans Cybern 43(6):1755–1766

    Article  Google Scholar 

  3. Yao JY, Jiao ZX, Ma DW (2014) Adaptive robust control of DC motors with extended state observer. IEEE Trans Industr Electron 61(7):3630–3637

    Article  Google Scholar 

  4. Wei YL, Qiu JB, Karimi HR (2017) Reliable output feedback control of discrete-time fuzzy affine systems with actuator faults. IEEE Trans Circuits Syst I Regul Pap 64(1):170–181

    Article  Google Scholar 

  5. Li YJ, Liu GP, Sun SL, Tan C (2019) Prediction-based approach to finite-time stabilization of networked control systems with time delays and data packet dropouts. Neurocomputing 329:320–328

    Article  Google Scholar 

  6. Sakr A, El-Nagar AM, El-Bardini M, Sharaf M (2018) Improving the performance of networked control systems with time delay and data dropouts based on fuzzy model predictive control. J Frankl Inst 355:7201–7225

    Article  MathSciNet  MATH  Google Scholar 

  7. Wang T, Tong SC, Li YM (2013) Adaptive neural network output feedback control of stochastic nonlinear systems with dynamical uncertainties. Neural Comput Appl 23:1481–1494

    Article  Google Scholar 

  8. Ruangsang S, Assawinchaichote W (2018) A novel robust \( H_{\infty } \) fuzzy state feedback plus state-derivative feedback controller design for nonlinear time-varying delay systems. Neural Comput Appl. https://doi.org/10.1007/s00521-018-3452-y

    Article  Google Scholar 

  9. Yu ZX, Li SG, Du HB (2014) Adaptive neural output feedback control for stochastic nonlinear time-delay systems with unknown control directions. Neural Comput Appl 25:1979–1992

    Article  Google Scholar 

  10. Wei YL, Qiu JB, Shi P, Chadli M (2017) Fixed-order piecewise affine output feedback controller for fuzzy-affine-model-based nonlinear systems with time-varying delay. IEEE Trans Circuits Syst I Regul Pap 64(4):945–958

    Article  Google Scholar 

  11. Wei YL, Qiu JB, Shi P, Lam HK (2017) A new design of H-infinity piecewise filtering for discrete-time nonlinear time-varying delay systems via T–S fuzzy affine models. IEEE Trans Syst Man Cybern Syst 47(8):2034–2047

    Article  Google Scholar 

  12. Yu Y, Lam HK, Chan KY (2018) T–S fuzzy model based output feedback tracking control with control input saturation. IEEE Trans Fuzzy Syst 26(6):3514–3523

    Article  Google Scholar 

  13. Li XM, Lam HK, Song G, Liu FC (2015) Stability analysis of positive polynomial fuzzy-model-based control systems with time delay under imperfect premise matching. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/tfuzz.2017.2771538

    Article  Google Scholar 

  14. Tong SC, Li YM, Feng G, Li TS (2017) Observer-based adaptive fuzzy back-stepping dynamic surface control for a class of MIMO nonlinear systems. IEEE Trans Syst Man Cybern Part B 41(4):1124–1135

    Article  Google Scholar 

  15. Li YM, Tong SC (2013) Adaptive fuzzy decentralized output feedback control for stochastic nonlinear large-scale systems. Int J Robust Nonlinear Control 23(4):381–399

    Article  MATH  Google Scholar 

  16. Wei YL, Qiu JB, Lam HK, Wu LG (2017) Approaches to T–S fuzzy-affine-model-based reliable output feedback control for nonlinear Ito stochastic systems. IEEE Trans Fuzzy Syst 25(3):569–583

    Article  Google Scholar 

  17. Yao JY, Jiao Z, Ma D (2017) Extended-state-observer-based output feedback nonlinear robust control of hydraulic systems with back-stepping. IEEE Trans Industr Electron 61(11):6285–6293

    Article  Google Scholar 

  18. Ahn CK, Lim MT (2017) Model predictive stabilizer for T–S fuzzy recurrent multilayer neural network models with general terminal weighting matrix. Neural Comput Appl 23(1):271–277

    Google Scholar 

  19. Li XD, Rakkiyappan R (2017) Stability results for Takagi–Sugeno fuzzy uncertain BAM neural networks with time delays in the leakage term. Neural Comput Appl 22(1):203–219

    Google Scholar 

  20. Tong SC, Li YM (2016) Adaptive fuzzy output feedback control of MIMO nonlinear systems with unknown dead-zone inputs. IEEE Trans Fuzzy Syst 21(1):134–146

    Article  Google Scholar 

  21. Wang T, Zhang YF, Qiu JB, Gao HJ (2015) Adaptive fuzzy back-stepping control for a class of nonlinear systems with sampled and delayed measurements. IEEE Trans Fuzzy Syst 23(2):302–312

    Article  Google Scholar 

  22. Tong SC, Li YM (2009) Observer-based fuzzy adaptive control for strict feedback nonlinear systems. Fuzzy Sets Syst 160(12):1749–1764

    Article  MathSciNet  MATH  Google Scholar 

  23. Tong SC, He XL, Zhang H (2009) A combined back stepping and small gain approach to robust adaptive fuzzy output feedback control. IEEE Trans Fuzzy Syst 17(5):1059–1069

    Article  Google Scholar 

  24. Tong SC, Li CY, Li YM (2009) Fuzzy adaptive observer back stepping control for MIMO nonlinear systems. Fuzzy Sets Syst 160(19):2755–2775

    Article  MATH  Google Scholar 

  25. Tong SC, Liu CL, Li YM (2010) Fuzzy adaptive decentralized output feedback control for large-scale nonlinear systems with dynamical uncertainties. IEEE Trans Fuzzy Syst 18(5):845–861

    Article  Google Scholar 

  26. Li YM, Tong SC, Liu YJ, Li T (2014) Adaptive fuzzy robust output feedback control of nonlinear systems with unknown dead zones based on a small-gain approach. IEEE Trans Fuzzy Syst 22(1):164–176

    Article  Google Scholar 

  27. Tong SC, Sui S, Li YM (2015) Fuzzy adaptive output feedback control of MIMO nonlinear systems with partial tracking errors constrained. IEEE Trans Fuzzy Syst 23(4):729–742

    Article  Google Scholar 

  28. Li YM, Tong SC (2017) Adaptive fuzzy output-feedback stabilization control for a class of switched nonstrict-feedback nonlinear systems. IEEE Trans Cybern 47(4):1007–1016

    Article  Google Scholar 

  29. Wei YL, Qiu JB, Karimi HR (2017) Reliable output feedback control of discrete-time fuzzy affine systems with actuator faults. IEEE Trans Circuits Syst I Regul Pap 64(1):170–181

    Article  Google Scholar 

  30. Wang T, Qiu JB, Yin S, Gao HJ, Fan JL, Chai TY (2016) Performance-based adaptive fuzzy tracking control for networked industrial processes. IEEE Trans Cybern 46(8):1760–1770

    Article  Google Scholar 

  31. Qiu JB, Ding SX, Gao HJ, Yin S (2016) Fuzzy-model-based reliable static output feedback control of nonlinear hyperbolic PDE systems. IEEE Trans Fuzzy Syst 24(2):388–400

    Article  Google Scholar 

  32. Wang T, Qiu JB, Fu SS, Ji WQ (2017) Distributed fuzzy filtering for nonlinear multirate networked double-layer industrial processes. IEEE Trans Industr Electron 64(6):5203–5211

    Article  Google Scholar 

  33. Wei YL, Qiu JB, Fu S (2015) Mode-dependent nonrational output feedback control for continuous-time semi-Markovian jump systems with time-varying delay. Nonlinear Anal Hybrid Syst 16:52–71

    Article  MathSciNet  MATH  Google Scholar 

  34. Wang T, Qiu JB, Gao HJ, Wang CH (2017) Network-based fuzzy dynamic output feedback control for nonlinear industrial processes with predictive compensation strategy. IEEE Trans Syst Man Cybern Syst 47(8):2137–2147

    Article  Google Scholar 

  35. Wei YL, Qiu JB, Karimi HR, Wang M (2017) New results on H-infinity dynamic output feedback control for Markovian jump systems with time-varying delay and defective mode information. Opt Control Appl Methods 35(6):656–675

    Article  MATH  Google Scholar 

  36. Kwon OM, Park JH, Lee SM (2008) On robust stability for uncertain neural networks with interval time-varying delays. IET Control Theory Appl 2(7):625–634

    Article  MathSciNet  Google Scholar 

  37. Rakkiyappan R, Balasubramaniam P, Lakshmanan S (2008) Robust stability results for uncertain stochastic neural networks with discrete interval and distributed time-varying delays. Phys Lett A 372(32):5290–5298

    Article  MathSciNet  MATH  Google Scholar 

  38. Chen XL, Wang YG, Hu SL (2018) Event-based robust stabilization of uncertain networked control systems under quantization and denial-of-service attacks. Inf Sci 459:369–386

    Article  MathSciNet  Google Scholar 

  39. Wang YL, Han QL (2018) Network-based modelling and dynamic output feedback control for unmanned marine vehicles in network environments. Automatica 91:43–53

    Article  MathSciNet  MATH  Google Scholar 

  40. Li Z, Fang JA, Zhang WB, Wang X (2015) Delayed impulsive synchronization of discrete-time complex networks with distributed delays. Nonlinear Dyn 82(4):2081–2096

    Article  MathSciNet  MATH  Google Scholar 

  41. Wang ZD, Liu YR, Wei GL, Liu XH (2010) A note on control of a class of discrete-time stochastic systems with distributed delays and nonlinear disturbances. Automatica 46(3):543–548

    Article  MathSciNet  MATH  Google Scholar 

  42. Muralisankar S, Manivannan A, Gopalakrishnan N (2012) Asymptotic stability criteria for T–S fuzzy neural networks with discrete interval and distributed time-varying delays. Neural Comput Appl 21(1):357–367

    Article  Google Scholar 

  43. Tong SC, Zhang LL, Li YM (2016) Observed-based adaptive fuzzy decentralized tracking control for switched uncertain nonlinear large-scale systems with dead zones. IEEE Trans Syst Man Cybern Syst 46(1):37–47

    Article  Google Scholar 

  44. Tong SC, Li YM, Sui S (2016) Adaptive fuzzy tracking control design for uncertain non-strict feedback nonlinear systems. IEEE Trans Fuzzy Syst 24(6):1441–1454

    Article  Google Scholar 

  45. Dong YL, Liu JY (2012) Exponential stabilization of uncertain nonlinear time-delay systems. Adv Differ Equ 1:180–194

    Article  MathSciNet  MATH  Google Scholar 

  46. Wei YL, Qiu JB, Shi P, Chadli M (2017) Fixed-order piecewise-affine output feedback controller for fuzzy-affine-model-based nonlinear systems with time-varying delay. IEEE Trans Circuits Syst I Regul Pap 64(4):945–958

    Article  Google Scholar 

  47. Choi HD, Ahn CK, Shi P, Wu L, Lim MT (2017) Dynamic output-feedback dissipative control for T–S fuzzy systems with time-varying input delay and output constraints. IEEE Trans Fuzzy Syst 25(3):511–526

    Article  Google Scholar 

  48. Song QK, Cao J (2017) Passivity of uncertain neural networks with both leakage delay and time-varying delay. Nonlinear Dyn 67(2):1695–1707

    Article  MathSciNet  MATH  Google Scholar 

  49. Xiong LL, Zhong S, Tian J (2017) Novel robust stability criteria of uncertain neutral systems with discrete and distributed delays. Chaos Solitons Fract 40(2):771–777

    Article  MathSciNet  MATH  Google Scholar 

  50. Wang B, Zeng Y, Cheng J (2015) Further improvement in delay-dependent stability criteria for continuous-time systems with time-varying delays. Neurocomputing 147(1):324–329

    Article  Google Scholar 

  51. Gu K, Kharitonov VL, Chen J (2003) Systems with multiple and distributed delays: stability of time-delay systems. Birkhäuser, Boston, pp 233–271

    Book  Google Scholar 

  52. Park PG, Ko JW, Jeong C (2011) Reciprocally convex approach to stability of systems with time-varying delays. Automatica 47(1):235–238

    Article  MathSciNet  MATH  Google Scholar 

  53. Boyd S, Ghaoui LE, Feron E, Balakrishnan V (2014) Linear matrix inequalities in system and control theory. SIAM, Philadelphia

    MATH  Google Scholar 

  54. Wang YE, Sun XM, Wang Z, Zhao J (2014) Construction of Lyapunov–Krasovskii functionals for switched nonlinear systems with input delay. Automatica 50(4):1249–1253

    Article  MathSciNet  MATH  Google Scholar 

  55. Yu ZX, Dong Y, Li SG, Li FF (2017) Adaptive tracking control for switched strict-feedback nonlinear systems with time-varying delays and asymmetric saturation actuators. Neurocomputing 238:245–254

    Article  Google Scholar 

  56. Zhang DW, Zhou ZY, Jia XC (2018) Networked fuzzy output feedback control for discrete-time Takagi-Sugeno fuzzy systems with sensor saturation and measurement noise. Inf Sci 458:182–194

    Article  MathSciNet  Google Scholar 

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Acknowledgements

This paper was supported by National Natural Science Foundation of China (61473248, 61773333, 61271142, 61673336) and Natural Science Foundation of Hebei Province (F2016203496).

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Correspondence to Wei Zheng.

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Zheng, W., Zhang, Z., Wang, H. et al. Stability analysis and dynamic output feedback control for fuzzy networked control systems with mixed time-varying delays and interval distributed time-varying delays. Neural Comput & Applic 32, 7213–7234 (2020). https://doi.org/10.1007/s00521-019-04204-x

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