Liping Chen;Chuang Liu;António M. Lopes;Zhiqiang Zhang;YangQuan Chen
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Nonfragile Consensus Strategy for Variable Fractional-Order Multiagent Systems Based on Disturbance Observer
This article proposes nonfragile leader–follower consensus control for variable fractional-order multiagent systems under disturbance generated by an exogenous system. The developed technique is directly applicable to fixed fractional-order and integer-order multiagent systems. First, a nonfragile variable fractional-order disturbance observer is introduced, which is able to tolerate a certain degree of parameter uncertainty. Second, by employing the disturbance observer, a novel robust nonfragile consensus control scheme is developed, which not only ensures asymptotic stability of the consensus error system, but also accommodates parameter uncertainty in the physical controller's implementation. Third, new suffi cient conditions for the desired consensus protocol are derived using linear matrix inequalities (LMIs), as well as graph and Lyapunov theory. Finally, simulation examples are presented to illustrate the validity of the theoretical results. The proposed order-dependent LMI condition is less conservative than existing order-independent alternatives.
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.