Truncated adaptation design for decentralised neural dynamic surface control of interconnected nonlinear systems under input saturation

DOI10.1080/00207179.2015.1135507zbMath1353.93060OpenAlexW2216154848MaRDI QIDQ2954029

Shihang Lyu, Shigen Gao, Hai-Rong Dong, Bing Ning

Publication date: 11 January 2017

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

Full work available at URL: https://doi.org/10.1080/00207179.2015.1135507

zbMATH Keywords

input saturationdynamic surface controltruncated adaptationinterconnected nonlinear systemdecentralised neural control

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Decentralized systems (93A14) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (9)

Finite-time \(H_{\infty}\) control for linear systems with semi-Markovian switching ⋮ Error-driven nonlinear feedback-based fuzzy adaptive output dynamic surface control for nonlinear systems with partially constrained tracking errors ⋮ Neural adaptive dynamic surface control for uncertain strict-feedback nonlinear systems with nonlinear output and virtual feedback errors ⋮ Neural learning control of flexible joint manipulator with predefined tracking performance and application to Baxter robot ⋮ Decentralized prescribed performance adaptive tracking control for Markovian jump uncertain nonlinear systems with input saturation ⋮ Robust adaptive dynamic surface back-stepping tracking control of high-order strict-feedback nonlinear systems via disturbance observer approach ⋮ Single-parameter-learning-based fuzzy fault-tolerant output feedback dynamic surface control of constrained-input nonlinear systems ⋮ Robust resilient control for parametric strict feedback systems with prescribed output and virtual tracking errors ⋮ Dynamic surface control for discrete-time strict-feedback systems with network-induced time-varying delays and packets loss

Cites Work

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