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Intelligent systems are a hallmark of modern feedback control systems. But as these systems mature, we have come to expect higher levels of performance in speed
Neural Network Control Of Robot Manipulators And Non-Linear Systems
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There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so
Neural Network Control of Nonlinear Discrete Time Systems
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The main focus of this work is on the problem of existence of nonlinear optimal controllers realizable by artificial neural networks. Theoretical justification,
Discrete-Time Inverse Optimal Control for Nonlinear Systems
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Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discret
Discrete-Time High Order Neural Control
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Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex sys