Abstract

This paper discusses the finite-time and the fixed-time consensus of nonlinear stochastic multi-agent systems (NSMSs) with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) in a leader-following framework. Nonlinear control and impulsive pinning control protocols are designed to guarantee that follower agents realize consensus with the leader agent in finite time(fixed time). Based on the finite-time and fixed-time consensus theory, stochastic analysis technique, comparison system theory and algebra graph theory, some sufficient conditions are proposed to guarantee the finite-time and fixed-time consensus of systems. Then, the setting times of finite-time consensus and fixed-time consensus are estimated. Finally, two simulation examples are presented to illustrate the correctness of our conclusions.

Highlights

  • With the development of modern science and technology and the popularization of artificial intelligence, multi-agent system, as one kind of complex networks, has attracted considerable attention among the scholars and the experts [1]–[3]

  • Motivated by the above-mentioned considerations, this paper investigates the finite-time and fixed-time consensus of nonlinear stochastic multi-agent systems (NSMSs) with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) via impulsive control

  • Compared with previous work, two effective control protocols are both presented so that we can resolve the problem of finite-time and fixed-time consensus of NSMSs with RONs and ROUs

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Summary

INTRODUCTION

With the development of modern science and technology and the popularization of artificial intelligence, multi-agent system, as one kind of complex networks, has attracted considerable attention among the scholars and the experts [1]–[3]. Compared with previous work, two effective control protocols are both presented so that we can resolve the problem of finite-time and fixed-time consensus of NSMSs with RONs and ROUs. It is said that the impulsive sequence ς = {t1, t2, · · · } have an average impulsive interval Ta. Definition 2: System (1) is said to achieve finite-time leader-following consensus in probability, if there exists a constant T > 0 which depends on the initial condition vector value s(0) such that. Remark 2: Different from the control protocol (4) in [7], we propose the control method to realize leader-following consensus in finite time in this paper. We present a theoretical result to guarantee that the follower system (1) and the leader system (4) with ROUs, RONs and stochastic disturbances can reach finite-time consensus via control protocol (27). When θ > 1, the setting time T2 which make w(t) of system (42) tend to zero can not be due to be estimated

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