6533b7d2fe1ef96bd125f5bb

RESEARCH PRODUCT

Distributed Adaptive Control for Asymptotically Consensus Tracking of Uncertain Nonlinear Systems With Intermittent Actuator Faults and Directed Communication Topology

Kexin LiuJing ZhouJiang LongJiangshuai HuangWei Wang

subject

Adaptive controlComputer science05 social sciences050301 educationRelaxation (iterative method)Topology (electrical circuits)02 engineering and technologyTopologyComputer Science ApplicationsHuman-Computer InteractionVDP::Teknologi: 500Nonlinear systemControl and Systems EngineeringControl theory0202 electrical engineering electronic engineering information engineeringTrajectoryUniform boundedness020201 artificial intelligence & image processingElectrical and Electronic EngineeringActuator0503 educationSoftwareInformation Systems

description

In this article, we investigate the output consensus tracking problem for a class of high-order nonlinear systems with unknown parameters, uncertain external disturbances, and intermittent actuator faults. Under the directed topology conditions, a novel distributed adaptive controller is proposed. The common time-varying trajectory is allowed to be totally unknown by part of subsystems. Therefore, the assumption on the linearly parameterized trajectory signal in most literature is no longer needed. To achieve the relaxation, extra distributed parameter estimators are introduced in all subsystems. Besides, to handle the actuator faults occurring at possibly infinite times, a new adaptive compensation technique is adopted. It is shown that with the proposed scheme, all closed-loop signals are globally uniformly bounded and asymptotically output consensus tracking can be achieved.

yearjournalcountryeditionlanguage
2019-10-01IEEE Transactions on Cybernetics
https://doi.org/10.1109/tcyb.2019.2940284