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Quantized guaranteed cost memory consensus for nonlinear multi-agent systems with switching topology and actuator faults

Author

Listed:
  • Parivallal, A.
  • Sakthivel, R.
  • Alzahrani, Faris
  • Leelamani, A.

Abstract

This paper addresses the problem of guaranteed cost consensus design for nonlinear multi-agent systems with switching topology under quantization effects and actuator faults. The primary intention of this paper is to construct a reliable controller that is robust against certain actuator faults and which retains the resulting closed-loop system to achieve consensus. In particular, weighted undirected graph is considered to represent the interconnection among agents. By taking advantage of algebraic graph theory along with the Lyapunov technique, a new set of sufficient conditions is established by means of linear matrix inequalities (LMIs) to achieve the exponential consensus of the considered nonlinear multi-agent systems (MASs) . Specifically the control gain matrices can be obtained by solving the established LMIs. Finally, numerical examples are presented to demonstrate the capability of proposed method.

Suggested Citation

  • Parivallal, A. & Sakthivel, R. & Alzahrani, Faris & Leelamani, A., 2020. "Quantized guaranteed cost memory consensus for nonlinear multi-agent systems with switching topology and actuator faults," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    • Handle: RePEc:eee:phsmap:v:539:y:2020:i:c:s0378437119316693
    DOI: 10.1016/j.physa.2019.122946
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    References listed on IDEAS

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    1. Li, Min & Shu, Feng & Liu, Duyu & Zhong, Shouming, 2018. "Robust H∞ control of T-S fuzzy systems with input time-varying delays: A delay partitioning method," Applied Mathematics and Computation, Elsevier, vol. 321(C), pages 209-222.
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