Distributed Adaptive Learning Tracking for Nonlinear Time-varying Multi-agent Systems With Unknown Control Directions and Dead-zone Inputs

This paper investigates the distributed tracking problem for second-order nonlinear time-varying multi-agent systems (SONTV-MASs) subject to unknown control directions (UCDs) and input dead-zone using adaptive iterative learning control (AILC). Through parameter recombination and mean value theorem,...

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Vydané v:	International journal of control, automation, and systems Ročník 23; číslo 9; s. 2514 - 2528
Hlavní autori:	Yang, Nana, Li, Suoping, Chen, Jinshu, Zhou, Yongqiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.09.2025 Springer Nature B.V 제어·로봇·시스템학회
Predmet:	Control Control algorithms Control systems Design Differential calculus Engineering Learning Mechatronics Multiagent systems Regular Papers Robotics Topology Tracking problem 제어계측공학 Adaptive iterative learning control multi-agent systems unknown control directions dead-zone inputs distributed tracking
ISSN:	2005-4092, 1598-6446, 2005-4092
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