Neural network inverse model control strategy: discrete-time stability analysis for relative order two systems

DOI10.1155/2014/645982zbMath1406.93195OpenAlexW2018071069WikidataQ59040328 ScholiaQ59040328MaRDI QIDQ1724660

Xianqiang Yang

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/645982

zbMATH Keywords

discrete-time stabilityneural network inverse model control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Cites Work

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• New robust exponential stability results for discrete-time switched fuzzy neural networks with time delays
• Hybrid neural control systems: Some stability properties
• Neural networks for nonlinear internal model control
• Neural-net computing and the intelligent control of systems
• Adaptive control of discrete systems using neural networks
• Approximation by superpositions of a sigmoidal function

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