Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural networks: algorithms, applications, and programming techniques
Neural networks: algorithms, applications, and programming techniques
Neural networks for control systems: a survey
Automatica (Journal of IFAC)
Applications of Neural Adaptive Control Technology
Applications of Neural Adaptive Control Technology
Brief Adaptive stabilization of uncertain nonholonomic systems by state and output feedback
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
Adaptive control using neural networks and approximate models
IEEE Transactions on Neural Networks
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This paper deals with stabilization of unknown nonlinear systems using a nonlinear controller made with a backpropagation neural network. Control strategies based on an inverse state neural model built from an off-line learning step are proposed. The proposed strategies can be implemented following two approaches. The first one consists on computing control horizon based on actual state vector and desired one at a future instant. The second approach applies control action in the sense of a receding horizon. Adaptive control has been considered where the updating of the neural controller is accomplished to optimize different control objectives.