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

A. Parivallal, R. Sakthivel, Faris Alzahrani and A. Leelamani

Physica A: Statistical Mechanics and its Applications, 2020, vol. 539, issue C

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.

Keywords: Multi-agent systems; Guaranteed cost control; Quantization; Switching topology (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:539:y:2020:i:c:s0378437119316693

DOI: 10.1016/j.physa.2019.122946

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