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NASA NTRS · 19950033005

Synthesis of minimum-time feedback laws for dynamic systems using neural networks

Lee, Allan Y.·Smyth, Padhraic
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Abstract

The paper presents the synthesis of neural network based feedback laws for dynamic systems using the computed optimal and time histories of the state and control variables. The efficacy of the proposed approach has been successfully demonstrated on a minimum time orbit injection problem. If the method is found to be effective to real life problems with many state and control variables, it can used for a variety of guidance and control problems.

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TRT-THEORETICALMINIMUM TIME FEEDBACK LAWSNONLINEAR MAPPING APPROXIMATORDYNAMIC SYSTEMSOPEN LOOP SOLUTIONSCOMBINED PARAMETER AND FUNCTIO

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BibTeXRIS

Lee, Allan Y., Smyth, Padhraic. 1994-07-01. Synthesis of minimum-time feedback laws for dynamic systems using neural networks. https://ntrs.nasa.gov/citations/19950033005

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