Neuro-Dynamic Programming
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Adaptive critic designs and their applications
Adaptive critic designs and their applications
Improving reservoirs using intrinsic plasticity
Neurocomputing
A retrospective on adaptive dynamic programming for control
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Survey: Reservoir computing approaches to recurrent neural network training
Computer Science Review
Online learning control by association and reinforcement
IEEE Transactions on Neural Networks
Dynamic re-optimization of a fed-batch fermentor using adaptive critic designs
IEEE Transactions on Neural Networks
Training Recurrent Neurocontrollers for Real-Time Applications
IEEE Transactions on Neural Networks
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We propose an on-line action-dependent heuristic dynamic programming approach based on recurrent neural network architecture - Echo state network (ESN) - as critic network within the frame of adaptive critic design (ACD), to be used for adaptive control. Here it is applied to the optimization of a complex nonlinear process for production of a biodegradable polymer, briefly called PHB. The on-line procedure for simultaneous critic training and process optimization is tested in the absence and presence of measurement noise. In both cases the optimization procedure succeeded in increasing the productivity and in proper training of the adaptive critic network at the same time.