ROBUST FIXED-TIME CONSENSUS PROTOCOLS FOR MULTI-AGENT SYSTEMS WITH NONLINEAR STATE MEASUREMENTS

Ye Cheng; Bao Shi; Bin Wu

doi:10.11948/20190208

2020 Volume 10 Issue 6

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Article navigation > Journal of Applied Analysis & Computation > 2020 > 10(6): 2323-2337

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Ye Cheng, Bao Shi, Bin Wu. ROBUST FIXED-TIME CONSENSUS PROTOCOLS FOR MULTI-AGENT SYSTEMS WITH NONLINEAR STATE MEASUREMENTS[J]. Journal of Applied Analysis & Computation, 2020, 10(6): 2323-2337. doi: 10.11948/20190208

Citation:

Ye Cheng, Bao Shi, Bin Wu. ROBUST FIXED-TIME CONSENSUS PROTOCOLS FOR MULTI-AGENT SYSTEMS WITH NONLINEAR STATE MEASUREMENTS[J]. Journal of Applied Analysis & Computation, 2020, 10(6): 2323-2337. doi: 10.11948/20190208

ROBUST FIXED-TIME CONSENSUS PROTOCOLS FOR MULTI-AGENT SYSTEMS WITH NONLINEAR STATE MEASUREMENTS

1.
School of Basic Sciences for Aviation, Naval Aviation University, 264001 Yantai, China
2.
Platform Products Division, Neusoft Corporation, 106685 Dalian, China

Corresponding author: Email address:baoshinau@outlook.com(B. Shi)

Abstract

Abstract

This paper solves the robust fixed-time consensus problem for multi-agent systems with nonlinear state measurements. Sufficient conditions are established for the proposed protocol to reach fixed-time consensus under time-varying undirected and fixed directed topology with the aid of Lyapunov functions. It is proved that the finite settling time of the presented protocol for robust consensus is uniformly bounded for any initial condition, which makes it possible for people to design and estimate the convergence time off-line. Numerical simulations are preformed to show the effectiveness of our proposed protocol.
- Fixed-time consensus /
- multi-agent systems /
- robustness /
- state measurements
MSC: 93C10, 93C15, 93D09, 93D40, 93D50

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References

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