4.6 Article

Impulsive Control of Nonlinear Systems With Time-Varying Delay and Applications

Journal

IEEE TRANSACTIONS ON CYBERNETICS
Volume 50, Issue 6, Pages 2661-2673

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2019.2896340

Keywords

Delays; Delay effects; Neural networks; Synchronization; Perturbation methods; Stability analysis; Time-varying systems; Delay systems; exponential stability; impulsive control; neural networks; synchronization control; unbounded time-varying delay

Funding

  1. National Natural Science Foundation of China [61673247, 61833005]
  2. Research Fund for Distinguished Young Scholars of Shandong Province [JQ201719, ZR2016JL024]
  3. Research Fund for Excellent Young Scholars of Shandong Province [JQ201719, ZR2016JL024]
  4. Jiangsu Provincial Key Laboratory of Networked Collective Intelligence [BM2017002]
  5. Research Grants Council of Hong Kong [CityU 11200717]

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Impulsive control of nonlinear delay systems is studied in this paper, where the time delays addressed may be the constant delay, bounded time-varying delay, or unbounded time-varying delay. Based on the impulsive control theory and some analysis techniques, a new theoretical result for global exponential stability is derived from the impulsive control point of view. The significance of the presented result is that the stability can be achieved via the impulsive control at certain impulse points despite the existence of impulsive perturbations which causes negative effect to the control. That is, the impulsive control provides a super performance to allow the existence of impulsive perturbations. In addition, we apply the theoretical result to the problem of impulsive control of delayed neural networks. Some results for global exponential stability and synchronization control of neural networks with time delays are derived via impulsive control. Three illustrated examples are given to show the effectiveness and distinctiveness of the proposed impulsive control schemes.

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