Abstract
In this paper, we are dealing with the problem of regulating unknown nonlinear dynamical systems. First a dynamical neural network identifier is employed to perform ‘black box’ identification and then a regular static feedback is developed to regulate the unknown system to zero. Not all the plant states are assumed to be available for measurement.
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Rovithakis, G.A., Christodoulou, M.A. Regulation of unknown nonlinear dynamical systems via dynamical neural networks. J Intell Robot Syst 12, 259–275 (1995). https://doi.org/10.1007/BF01262964
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DOI: https://doi.org/10.1007/BF01262964