Dissipative based adaptive reliable sampled-data control of time-varying delay systems
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  • 作者:Srimanta Santra ; Hamid Reza Karimi…
  • 关键词:Dissipative analysis ; Continuous ; time delay system ; Sampled ; data strategy ; Adaptive reliable control
  • 刊名:International Journal of Control, Automation and Systems
  • 出版年:2016
  • 出版时间:February 2016
  • 年:2016
  • 卷:14
  • 期:1
  • 页码:39-50
  • 全文大小:1,117 KB
  • 参考文献:[1]M. Chadli and H. R. Karimi, “Robust observer design for unknown inputs Takagi-Sugeno models,” IEEE Transactions on Fuzzy Systems, vol. 21, no. 1, pp. 158–164, February 2013. [click]CrossRef
    [2]O. M. Kwon, M. J. Park, J. H. Park, S. M. Lee, and E. J. Cha, “Improved results on stability of linear systems with time-varying delays via Wirtinger-based integral inequality,” Journal of the Franklin Institute, vol. 351, no. 12, pp. 5386–5398, December 2014. [click]CrossRef MathSciNet
    [3]P.-L. Liu, “Further results on robust delay-range-dependent stability criteria for uncertain neural networks with interval time-varying delay,” International Journal of Control, Automation and Systems, vol.13, no.5, pp. 1140–1149, October 2015. [click]CrossRef
    [4]M. J. Park, O. M. Kwon, J. H. Park, S. M. Lee, and E. J. Cha, “Stability of time-delay systems via wirtinger-based double integral inequality,” Automatica, vol. 55, pp. 204–208, May 2015. [click]CrossRef MathSciNet
    [5]R. Sakthivel, M. Joby, K. Mathiyalagan, and S. Santra, “Mixed H ∞ and passive control for singular Markovian jump systems with time delays,” Journal of the Franklin Institute, vol. 352, no. 10, pp. 4446–4466, October 2015. [click]CrossRef MathSciNet
    [6]Z. P. Wang and H. N. Wu, “On fuzzy sampled-data control of chaotic systems via a time-dependent Lyapunov functional approach,” IEEE Transactions on Cybernetics, vol. 45, no. 4, pp. 819–829, April 2015. [click]CrossRef
    [7]M. Chadli, H. R. Karimi, and P. Shi, “On stability and stabilization of singular uncertain Takagi-Sugeno fuzzy systems,” Journal of the Franklin Institute, vol. 351, no. 3, pp. 1453–1463, March 2014. [click]CrossRef MathSciNet
    [8]J. C. Geromel and G. W. Gabriel, “Optimal H2 state feedback sampled-data control design of markov jump linear systems,” Automatica, vol. 54, pp. 182–188, April 2015. [click]CrossRef MathSciNet
    [9]H. J. Kim, G. B. Koo, J. B. Park, and Y. H. Joo, “Decentralized sampled-data H ∞ fuzzy filter for nonlinear large-scale systems,” Fuzzy Sets and Systems, vol. 273, pp. 68–86, August 2015. [click]CrossRef MathSciNet
    [10]Y. Wang and Q. Sun, “Sampled-data collective rotating consensus for second-order networks under directed interaction,” International Journal of Control, Automation and Systems, vol.13, no.5, pp.1057–1066, October 2015. [click]CrossRef
    [11]C. Zhang, J. Wang, S. Li, B. Wu, and C. Qian, “Robust control for PWM-based DC-DC buck power converters with uncertainty via sampled-data output feedback,” IEEE Transactions on Power Electronics, vol. 30, no. 1, pp. 504–515, January 2015. [click]CrossRef
    [12]S. Aouaouda, M. Chadli, P. Shi, and H. R. Karimi, “Discrete-time H=H ∞ sensor fault detection observer design for nonlinear systems with parameter uncertainty,” International Journal of Robust and Nonlinear Control, vol. 25, no. 3, pp. 339–361, February 2015. [click]CrossRef MathSciNet
    [13]A. Sarjas, R. Svecko, and A. Chowdhury, “An H ∞ modified robust disturbance observer design for mechanicalpositioning systems,” International Journal of Control, Automation and Systems, vol. 13, no. 3, pp. 575–586, June 2015. [click]CrossRef
    [14]H. Shen, J. H. Park, L. Zhang, and Z. G. Wu, “Robust extended dissipative control for sampled-data Markov jump systems,” International Journal of Control, vol. 87, no. 8, pp. 1549–1564, February 2014. [click]CrossRef MathSciNet
    [15]H. Shen, Z. G. Wu, and J. H. Park, “Reliable mixed passive and H ∞ filtering for semi-Markov jump systems with randomly occurring uncertainties and sensor failures,” International Journal of Robust and Nonlinear Control, vol. 25, no. 17, pp. 3231–3251, November 2015. [click]CrossRef MathSciNet
    [16]H. Shen, Z. G. Wu, J. H. Park, and Z. Zhang, “Extended dissipativity-based synchronization of uncertain chaotic neural networks with actuator failures,” Journal of the Franklin Institute, vol. 352, no. 4, pp. 1722–1738, April 2015. [click]CrossRef MathSciNet
    [17]R. Sakthivel, S. Santra, K. Mathiyalagan, and S. Marshal Anthoni, “Robust reliable sampled-data control for offshore steel jacket platforms with nonlinear perturbations,” Nonlinear Dynamics, vol. 78, no. 2, pp. 1109–1123, October 2014. [click]CrossRef MathSciNet
    [18]R. Sakthivel, S. Selvi, K. Mathiyalagan, and P. Shi, “Reliable mixed H ∞ and passivity-based control for fuzzy Markovian switching systems with probabilistic time delays and actuator failures,” IEEE Transactions on Cybernetics, vol. 45, no. 12, pp. 2720–2731, December 2015. [click]CrossRef
    [19]J. Dong and G. H. Yang, “Reliable state feedback control of T-S fuzzy systems with sensor faults,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 2, pp. 421–433, April 2015. [click]CrossRef
    [20]S. Li and J. Cao, “Distributed adaptive control of pinning synchronization in complex dynamical networks with nondelayed and delayed coupling,” International Journal of Control, Automation and Systems, vol.13, no.5, pp.1076–1085, October 2015. [click]CrossRef
    [21]B. S. Park and S. J. Yoo, “Adaptive leader-follower formation control of mobile robots with unknown skidding and slipping effects,” International Journal of Control, Automation and Systems, vol. 13, no. 3, pp. 587–594, June 2015. [click]CrossRef
    [22]R. J. Wai, M. W. Chen, and Y. K. Liu, “Design of adaptive control and fuzzy neural network control for single-stage boost inverter,” IEEE Transactions on Industrial Electronics, vol. 62, no. 9, pp. 5434–5445, September 2015. [click]CrossRef
    [23]Z. Zhang and W. Chen, “Adaptive output feedback control of nonlinear systems with actuator failures,” Information Sciences, vol. 179, no. 24, pp. 4249–4260, December 2009. [click]CrossRef MathSciNet MATH
    [24]X. Z. Jin and G. H. Yang, “Robust adaptive fault-tolerant compensation control with actuator failures and bounded disturbances,” Acta Automatica Sinica, vol. 35, no 3, pp. 305–309, March 2009. [click]MathSciNet
    [25]Y. Liu, Y. Niu, Y. Zou, and H. R. Karimi, “Adaptive sliding mode reliable control for switched systems with actuator degradation,” IET Control Theory and Applications, vol. 9, no. 8, pp. 1197–1204, May 2015. [click]CrossRef MathSciNet
    [26]M. Hashemi, J. Ghaisari, and J. Askari, “Adaptive control for a class of MIMO nonlinear time delay systems against time varying actuator failures,” ISA Transactions, vol. 57, pp. 23–42, July 2015. [click]CrossRef
    [27]S. S. Ge and Z. Li, “Robust adaptive control for a class of MIMO nonlinear systems by state and output feedback,” IEEE Transactions on Automatic Control, vol. 59, no. 6, pp. 1624–1629, June 2014. [click]CrossRef MathSciNet
    [28]R. Sakthivel, M. Rathika, S. Santra, and Q. Zhu, “Dissipative reliable controller design for uncertain systems and its application,” Applied Mathematics and Computation, vol. 263, pp. 107–121, July 2015. [click]CrossRef MathSciNet
    [29]X. Su, P. Shi, L. Wu, and M. V. Basin, “Reliable filtering with strict dissipativity for T-S fuzzy time-delay systems,” IEEE Transactions on Cybernetics, vol. 44, no. 12, pp. 2470–2483, December 2014. [click]CrossRef
    [30]S. Aouaouda, M. Chadli, and H. R. Karimi, “Robust static output-feedback controller design against sensor failure for vehicle dynamics,” IET Control Theory & Applications, vol. 8, no. 9, pp. 728–737, June 2014. [click]CrossRef MathSciNet
    [31]Z. Feng and J. Lam, “Robust reliable dissipative filtering for discrete delay singular systems,” Signal Processing, vol. 92, no. 12, pp. 3010–3025, December 2012. [click]CrossRef
    [32]D. H. Lee, Y. H. Joo, and M. H. Tak, “LMI conditions for local stability and stabilization of continuous-time T-S fuzzy systems,” International Journal of Control, Automation and Systems, vol. 13, no. 4, pp. 986–994, August 2015. [click]CrossRef
    [33]M. S. Mahmoud, H. N. Nounou, and Y. Xia, “Robust dissipative control for internet-based switching systems,” Journal of the Franklin Institute, vol. 347, no. 1, pp. 154–172, February 2010. [click]CrossRef MathSciNet MATH
    [34]Z. G. Wu, P. Shi, H. Su, and R. Lu, “Dissipativity-based sampled-data fuzzy control design and its application to truck-trailer system,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 5, pp. 1669–1679, October 2015. [click]CrossRef
    [35]L. Wu, X. Yang, and H. K. Lam, “Dissipativity analysis and synthesis for discrete-time T-S fuzzy stochastic systems with time-varying delay,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 2, pp. 380–394, April 2014. [click]CrossRef
    [36]W. Xiang, J. Xiao, and G. Zhai, “Dissipativity and dwell time specifications of switched discrete-time systems and its applications in H ∞ and robust passive control,” Information Sciences, vol. 320, pp. 206–222, November 2015. [click]CrossRef MathSciNet
    [37]A. Seuret and F. Gouaisbaut, “Wirtinger-based integral inequality: Application to time-delay systems,” Automatica, vol. 49, no. 9, pp. 2860–2866, September 2013. [click]CrossRef MathSciNet
    [38]H. Li, H. Gao, P. Shi, and X. Zhao, “Fault-tolerant control of Markovian jump stochastic systems via the augmented sliding mode observer approach,” Automatica, vol. 50, no. 7, pp. 1825–1834, July 2014. [click]CrossRef MathSciNet MATH
  • 作者单位:Srimanta Santra (1)
    Hamid Reza Karimi (2)
    Rathinasamy Sakthivel (3) (4)
    S. Marshal Anthoni (1)

    1. Department of Mathematics, Anna University Regional Campus, Coimbatore, 641046, India
    2. Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898, Grimstad, Norway
    3. Department of Mathematics, Sri Ramakrishna Institute of Technology, Coimbatore, 641010, India
    4. Department of Mathematics, Sungkyunkwan University, Suwon, 440-746, Korea
  • 刊物类别:Engineering
  • 刊物主题:Control Engineering
  • 出版者:The Institute of Control, Robotics and Systems Engineers and The Korean Institute of Electrical Engi
  • ISSN:2005-4092
文摘
This paper is concerned with the problem of dissipative based adaptive reliable controller for a class of time delay systems subject to actuator failures and time-varying sampling with a known upper bound on the sampling intervals. By constructing a proper Lyapunov-Krasovskii functional which fully uses the available information about the actual sampling pattern and time delays, a new set of sufficient conditions is derived to obtain the required result. Then, a dissipative based adaptive sampled-data controller is designed such that the resulting closed-loop system is reliable in the sense that it is asymptotically stable and has the prescribed dissipative performance under given constraints. The existence condition of the desired dissipative based adaptive reliable sampled-data controller is obtained in terms of linear matrix inequalities. Further, the performance of the proposed controller is implemented on a liquid propellant rocket motor with a pressure feeding system model. The simulation results show the effectiveness and better performance of the proposed adaptive reliable sampled-data controller over conventional reliable controller. Keywords Dissipative analysis Continuous-time delay system Sampled-data strategy Adaptive reliable control

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