Fault-Tolerant Formation Tracking of Heterogeneous Multi-Agent Systems with Time-Varying Actuator Faults and Its Application to Task-Space Cooperative Tracking of Manipulators
Z. Feng, G. Hu

TL;DR
This paper develops a robust distributed control method for heterogeneous multi-agent systems with time-varying actuator faults, ensuring formation tracking and applying it to cooperative manipulator tracking despite uncertainties.
Contribution
It introduces a novel distributed control law using Nussbaum gain for fault tolerance in nonlinear multi-agent systems with partial leader information.
Findings
Guarantees asymptotic convergence of formation tracking
Effective in handling unknown, time-varying actuator faults
Validated through numerical simulations
Abstract
This paper addresses a formation tracking problem for nonlinear multi-agent systems with time-varying actuator faults, in which only a subset of agents has access to the leader's information over the directed leader-follower network with a spanning tree. Both the amplitudes and signs of control coefficients induced by actuator faults are unknown and time-varying. The aforementioned setting improves the practical relevance of the problem to be investigated, and meanwhile, it poses technical challenges to distributed controller design and asymptotic stability analysis. By introducing a distributed estimation and control framework, a novel distributed control law based on a Nussbaum gain technique is developed to achieve robust fault-tolerant formation tracking for heterogeneous nonlinear multi-agent systems with time-varying actuator faults. It can be proved that the asymptotic…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Adaptive Control of Nonlinear Systems
