Distributed Connectivity-Preserving Control Design With Fast Convergence Over Directed Communication Topology

IF 4 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Huifen Hong;Wenwu Yu;Guo-Ping Jiang;Xinghuo Yu
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引用次数: 0

Abstract

This work addresses the consensus problem for first-order multiagent systems with fixed-time convergence rate and heterogeneous communication range constraints. A novel class of distributed fixed-time consensus control algorithms is proposed with connectivity preservation property over directed graphs for nominal agents. Then, the proposed protocol is modified to solve the fixed-time connectivity-preserving consensus for nonlinear and disturbed multiagent systems. The edge-based representation framework is utilized and two strict Lyapunov functions are constructed to show that the initial edges can be maintained under the proposed control protocols. Furthermore, the fixed-time consensus is achieved, where all of the states reach a common value within a finite time, which is upper bounded regardless of initial states. Consequently, the convergence time can be set in advance. Two numerical examples are performed to illustrate the proposed schemes.
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来源期刊
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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