Observer-Based Coordinated Tracking Control for Nonlinear Multi-Agent Systems with Intermittent Communication under Heterogeneous Coupling Framework
Yuhang Zhang, Yulian Jiang, Shenquan Wang

TL;DR
This paper develops an observer-based control strategy for nonlinear multi-agent systems with intermittent communication, employing heterogeneous coupling and dynamic topology to ensure stable coordinated tracking.
Contribution
It introduces a novel distributed control protocol with adjustable coupling parameters and a new lemma for cooperative design, handling various communication interruption scenarios.
Findings
System stability is proven under the proposed control scheme.
The control method effectively manages different communication interruption cases.
Simulation results verify the approach's effectiveness for nonlinear MASs.
Abstract
In this article, the observer-based coordinated tracking control problem for a class of nonlinear multi-agent systems(MASs) with intermittent communication and information constraints is studied under dynamic switching topology. First, a state observer is designed to estimate the unmeasurable actual state information in the system. Second, adjustable heterogeneous coupling weighting parameters are introduced in the dynamic switching topology, and the distributed coordinated tracking control protocol under heterogeneous coupling framework is proposed. Then, a new Lemma is constructed to realize the cooperative design of observer gain, state feedback gain and heterogeneous coupling gain matrices. Furthermore, the stability of the system is further proved, and the range of communication rate is obtained. On this basis, the intermittent communication mode is extended to three time interval…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Adaptive Control of Nonlinear Systems
