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AuthorShahriari-kahkeshi, M.
AuthorMeskin, Nader
Available date2022-04-14T08:45:36Z
Publication Date2021
Publication NameNeurocomputing
ResourceScopus
Identifierhttp://dx.doi.org/10.1016/j.neucom.2021.08.065
URIhttp://hdl.handle.net/10576/29744
AbstractThis paper investigates the development of an adaptive cooperative control scheme for the consensus of uncertain nonlinear multi-agent systems subjected to uncertain time-varying control direction, disturbances, and dead-zone nonlinearity. The dead-zone nonlinearity is described by an uncertain nonlinear function of the control input which can represent a wide class of practical input nonlinearities. It is assumed that no prior knowledge about the uncertain nonlinearities of agents, disturbances, dead-zone parameters, magnitude and sign of the control gain is available. In this paper, a Nussbaum function is used to deal with the unknown time-varying control directions problem and a disturbance-like term in the dead-zone description is approximated by an adaptive TSK-type fuzzy system. Then, by using the dynamic surface control approach and radial-basis function neural network, an adaptive distributed controller is designed for each follower agent. Stability analysis shows that all signals of the closed-loop multi-agent system are semi-globally uniformly ultimately bounded and the consensus error can be made arbitrary small by the proper selection of design parameters. Simulation and comparison results demonstrate the effectiveness of the proposed algorithm.
Languageen
PublisherElsevier B.V.
SubjectControl nonlinearities
Functions
Fuzzy neural networks
Multi agent systems
Radial basis function networks
Time varying control systems
Adaptive Control
Co-operative control
Control directions
Control schemes
Dead zones
Dead-zone nonlinearity
Multi-agents systems
Nonlinear multi-agent systems
Time varying
Unknown time-varying control gain
Adaptive control systems
article
comparative effectiveness
consensus
fuzzy system
nonlinear system
radial basis function neural network
simulation
TitleAdaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity
TypeArticle
Pagination151-163
Volume Number464
dc.accessType Abstract Only


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