Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach
DOI10.1049/iet-cta.2019.0309zbMath1544.93727MaRDI QIDQ6598885
Tianyi Xiong, Jianqiang Yi, Zhiqiang Pu, Xinlong Tao
Publication date: 5 September 2024
Published in: IET Control Theory \& Applications (Search for Journal in Brave)
uncertain systemsadaptive controltime-varying systemsrobust controlobserversnonlinear control systemsradial basis function networksmultiagent systemsmulti-agent systemsradial basis function neural networksLyapunov methodsposition controlmodel uncertaintiesclosed loop systemscontrol system synthesisvelocity measurementsneurocontrollerslearning (artificial intelligence)fixed-time cascaded leader state observerfixed-time CLSOfixed-time observer-based adaptive neural network time-varying formation tracking controlformation tracking control schememinimal learning-parameter approachRBFNN-based adaptive control schemetime-varying formation tracking control problemtime-varying formation tracking problem
Adaptive control/observation systems (93C40) Multi-agent systems (93A16) Observers (93B53) Finite-time stability (93D40)
This page was built for publication: Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach
