Output tracking of a class of unknown nonlinear discrete-time systems using neural networks

DOI10.1016/S0016-0032(96)00131-7zbMath0905.93027OpenAlexW2056955912MaRDI QIDQ1389006

Jui-Hong Horng

Publication date: 11 June 1998

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0016-0032(96)00131-7

zbMATH Keywords

trackingadaptive controlneural networkdiscrete time system

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) Discrete-time control/observation systems (93C55)

Cites Work

• Unnamed Item
• Neural networks for control systems - a survey
• Adaptive control of non-linear continuous-time systems using neural networks—general relative degree and MIMO cases
• Discrete-time multivariable adaptive control
• Stable discrete adaptive control
• Global stability of parameter-adaptive control systems
• Stable adaptive controller design, part II: Proof of stability
• Direct adaptive output tracking control using multilayered neural networks
• Adaptive control of discrete systems using neural networks

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