Neural computation for robust approximate pole assignment

DOI10.1016/S0925-2312(99)00057-0zbMath0941.68111OpenAlexW2089878341MaRDI QIDQ1305913

Jinhua Xu, James Lam, Hei Ka Tam, Daniel W. C. Ho

Publication date: 21 November 1999

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(99)00057-0

zbMATH Keywords

output feedback

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

LMI-based criteria for stability of high-order neural networks with time-varying delay ⋮ Novel global stability criteria for high-order Hopfield-type neural networks with time-varying delays ⋮ Exponential stability of high-order bidirectional associative memory neural networks with time delays ⋮ Multiobjective controller synthesis via eigenstructure assignment with state feedback ⋮ Augmented gradient flows for on-line robust pole assignment via state and output feedback ⋮ A gradient flow approach to on-line robust pole assignment for synthesizing output feedback control systems

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