Adaptive neural control for multiagent systems with asymmetric time‐varying state constraints and input saturation

DOI10.1002/rnc.5004zbMath1466.93092OpenAlexW3025673990MaRDI QIDQ4990834

Wenbin Xiao, Bin Yang, Qi Zhou, Hao Yin, Ren-Quan Lu

Publication date: 31 May 2021

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.5004

zbMATH Keywords

multiagent systemsinput saturationadaptive neural controltime-varying state constraintssliding-mode estimator

Mathematics Subject Classification ID

Feedback control (93B52) Adaptive control/observation systems (93C40) Variable structure systems (93B12) Multi-agent systems (93A16) Consensus (93D50)

Related Items (5)

Event-triggered adaptive neural control for multiagent systems with deferred state constraints ⋮ Finite‐time formation control and obstacle avoidance of multi‐agent system with application ⋮ Adaptive event‐triggered control for MIMO nonlinear systems with asymmetric state constraints based on unified barrier functions ⋮ Distributed consensus tracking control of nonlinear multi-agent systems with dynamic output constraints and input saturation ⋮ Distributed adaptive NN control for nonlinear multi‐agent systems with function constraints on states

This page was built for publication: Adaptive neural control for multiagent systems with asymmetric time‐varying state constraints and input saturation