Event-triggered fuzzy adaptive quantized control for nonlinear multi-agent systems in nonaffine pure-feedback form

DOI10.1016/J.FSS.2020.06.014zbMath1467.93194OpenAlexW3037413317MaRDI QIDQ2049238

Hak-Keung Lam, Yingnan Pan, Guangliang Liu, Hongjing Liang

Publication date: 24 August 2021

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://kclpure.kcl.ac.uk/portal/en/publications/eventtriggered-fuzzy-adaptive-quantized-control-for-nonlinear-multiagent-systems-in-nonaffine-purefeedback-form(3693b89e-a967-431b-8c6b-6139ebb08d5d).html

zbMATH Keywords

multi-agent systemsasymmetric hysteretic quantizerevent-triggered adaptive controlnon-affine pure-feedback

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Multi-agent systems (93A16)

Related Items (9)

A universal error transformation strategy for distributed event-triggered formation tracking of pure-feedback nonlinear multiagent systems with communication and avoidance ranges ⋮ Observer‐based distributed fault‐tolerant containment control for stochastic nonlinear multi‐agent systems with asymmetric hysteretic quantization ⋮ Fuzzy-based dynamic event triggering formation control for nonstrict-feedback nonlinear MASs ⋮ Fuzzy multi-objective fault-tolerant control for nonlinear Markov jump singularly perturbed systems with persistent dwell-time switched transition probabilities ⋮ Fuzzy finite-time consensus control for uncertain nonlinear multi-agent systems with input delay ⋮ Distributed fuzzy adaptive event‐triggered finite‐time consensus tracking control for uncertain nonlinear multi‐agent systems with asymmetric output constraint ⋮ Event-triggered adaptive consensus for stochastic multi-agent systems with saturated input and partial state constraints ⋮ Adaptive output dynamic feedback control for nonaffine pure-feedback time delay system with unknown backlash-like hysteresis ⋮ Adaptive distributed tracking control for non-affine multi-agent systems with state constraints and dead-zone input

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