Control for a Networked Control Model of Systems with Two Additive Time-Varying Delays

This paper is concerned with control for a networked control model of systems with two additive time-varying delays. A new Lyapunov functional is constructed to make full use of the information of the delays, and for the derivative of the Lyapunov functional a novel technique is employed to compute a tighter upper bound, which is dependent on the two time-varying delays instead of the upper bounds of them. Then the convex polyhedron method is proposed to check the upper bound of the derivative of the Lyapunov functional. The resulting stability criteria have fewer matrix variables but less conservatism than some existing ones. The stability criteria are applied to designing a state feedback controller, which guarantees that the closed-loop system is asymptotically stable with a prescribed disturbance attenuation level. Finally examples are given to show the advantages of the stability criteria and the effectiveness of the proposed control method.

[1]  Chen Peng,et al.  Event-triggered communication and H∞H∞ control co-design for networked control systems , 2013, Autom..

[2]  Tao Li,et al.  Further Results on Delay-Dependent Stability Criteria of Neural Networks With Time-Varying Delays , 2008, IEEE Transactions on Neural Networks.

[3]  Hanyong Shao,et al.  Improved delay-dependent stability criteria for systems with a delay varying in a range , 2008, Autom..

[4]  Huijun Gao,et al.  Stability analysis for continuous systems with two additive time-varying delay components , 2007, Syst. Control. Lett..

[5]  Shengyuan Xu,et al.  On Equivalence and Efficiency of Certain Stability Criteria for Time-Delay Systems , 2007, IEEE Transactions on Automatic Control.

[6]  Shengyuan Xu,et al.  Improved stability criterion and its applications in delayed controller design for discrete-time systems , 2008, Autom..

[7]  Qing-Long Han,et al.  A New $H_{{\bm \infty}}$ Stabilization Criterion for Networked Control Systems , 2008, IEEE Transactions on Automatic Control.

[8]  Qing-Guo Wang,et al.  Delay-range-dependent stability for systems with time-varying delay , 2007, Autom..

[9]  Muguo Li,et al.  An improved delay-dependent stability criterion of networked control systems , 2014, J. Frankl. Inst..

[10]  Hanyong Shao,et al.  New delay-dependent stability criteria for systems with interval delay , 2009, Autom..

[11]  Dan Zhang,et al.  Exponential state estimation for Markovian jumping neural networks with time-varying discrete and distributed delays , 2012, Neural Networks.

[12]  Qing-Long Han,et al.  A discrete delay decomposition approach to stability of linear retarded and neutral systems , 2009, Autom..

[13]  Jean-Pierre Richard,et al.  Time-delay systems: an overview of some recent advances and open problems , 2003, Autom..

[14]  James Lam,et al.  A new delay system approach to network-based control , 2008, Autom..

[15]  K. Gu An integral inequality in the stability problem of time-delay systems , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[16]  Shengyuan Xu,et al.  Improved delay-dependent stability criteria for time-delay systems , 2005, IEEE Transactions on Automatic Control.

[17]  L. Ghaoui,et al.  A cone complementarity linearization algorithm for static output-feedback and related problems , 1997, IEEE Trans. Autom. Control..

[18]  Hanyong Shao,et al.  Delay-Dependent Stability for Recurrent Neural Networks With Time-Varying Delays , 2008, IEEE Transactions on Neural Networks.

[19]  Hanyong Shao,et al.  Improved Delay-Dependent Globally Asymptotic Stability Criteria for Neural Networks With a Constant Delay , 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.

[20]  Ju H. Park,et al.  Delay-dependent exponential stability criteria for neutral systems with interval time-varying delays and nonlinear perturbations , 2013, J. Frankl. Inst..

[21]  J. Hale Functional Differential Equations , 1971 .