A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment

DOI10.1016/0005-1098(95)00156-5zbMath0850.93312OpenAlexW2079364875WikidataQ126464759 ScholiaQ126464759MaRDI QIDQ1915013

Guang Wu, Jun Wang

Publication date: 1 August 1996

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(95)00156-5

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Pole and zero placement problems (93B55)

Related Items

Robust eigenvalue assignment in second-order systems: a gradient flow approach, Recurrent neural networks for nonlinear output regulation, 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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