Titlebook: Discrete-Time High Order Neural Control; Trained with Kalman Edgar N. Sanchez,Alma Y. Alanís,Alexander G. Louki Book 2008 Springer-Verlag

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https://doi.org/10.1007/978-94-007-2285-9In this work, based on the neural network and feedback linearization techniques, a novel method to design robust control for a class of MIMO discretetime nonlinear uncertain systems is proposed. This method includes four different control schemes, which can be applied depending on the state vector measurement viability:

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Conclusions and Future Work,In this work, based on the neural network and feedback linearization techniques, a novel method to design robust control for a class of MIMO discretetime nonlinear uncertain systems is proposed. This method includes four different control schemes, which can be applied depending on the state vector measurement viability:

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978-3-642-09695-2Springer-Verlag Berlin Heidelberg 2008

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Sustainability Conflicts in Coastal Indiaunstructured and uncertain environment. Such a system may be named autonomous or intelligent. It would need only to be presented with a goal and would achieve its objective by learning through continuous interaction with its environment through feedback about its behavior [13]..One class of models t

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Sustainability Conflicts in Coastal India chapter, a recurrent high order neural network is first used to identify the plant model, then based on this neural model, a discrete-time control law, which combines discrete-time block control and sliding modes techniques, is derived. The chapter also includes the respective stability analysis fo