Approximate solution of Hamilton-Jacobi inequality by neural networks

DOI10.1016/S0096-3003(96)00053-7zbMath0874.93044MaRDI QIDQ1363819

Tielong Shen, Katsutoshi Tamura, Xiao-Feng Yang

Publication date: 11 August 1997

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

zbMATH Keywords

neural networkHamilton-Jacobi inequalitynonlinear \(H_ \infty\) control

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) (H^infty)-control (93B36)

Related Items (2)

Reliable guaranteed cost control for uncertain switched non-linear systems ⋮ Nonlinear large disturbance attenuation controller design for the power systems with STATCOM

Cites Work

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• Multilayer feedforward networks are universal approximators
• L/sub 2/-gain analysis of nonlinear systems and nonlinear state-feedback H/sub infinity / control
• Disturbance attenuation and H/sub infinity /-control via measurement feedback in nonlinear systems
• Finding the nearest point in A polytope

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