Cooperative Adaptive Fuzzy Output Feedback Control for Synchronization of Nonlinear Multi-Agent Systems in the Presence of Input Saturation

DOI10.1002/asjc.1104zbMath1346.93238OpenAlexW2110772037MaRDI QIDQ2821217

Wei Wang, Dan Wang, Hao Wang, Zhouhua Peng

Publication date: 19 September 2016

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1104

zbMATH Keywords

output feedbackinput saturationnonlinear multi-agent systemsfuzzy logic systemdynamic surface controlstrict-feedback systems

Mathematics Subject Classification ID

Feedback control (93B52) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Decentralized systems (93A14) Agent technology and artificial intelligence (68T42)

Related Items (12)

Robust control of large-scale nonlinear systems by a hybrid adaptive fuzzy observer design with input saturation ⋮ Consensus control of second-order multiagent systems with particle swarm optimization algorithm ⋮ Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint ⋮ Adaptive optimized consensus control for a class of nonlinear multi-agent systems with asymmetric input saturation constraints and hybrid faults ⋮ Distributed consensus tracking control of nonlinear multi-agent systems with dynamic output constraints and input saturation ⋮ Observer-based adaptive neural inverse optimal consensus control of nonlinear multiagent systems ⋮ Distributed adaptive output consensus for high-order multiagent systems with input saturation and uncertain nonlinear dynamics ⋮ Observer-based adaptive fuzzy output constrained control for uncertain nonlinear multi-agent systems ⋮ Predictor-based adaptive dynamic surface control for consensus of uncertain nonlinear systems in strict-feedback form ⋮ Observer‐based fuzzy adaptive quantized control for uncertain nonlinear multiagent systems ⋮ Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems ⋮ A modeling error-based adaptive fuzzy observer approach with input saturation analysis for robust control of affine and non-affine systems

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