Multilayer feedforward networks are universal approximators
Neural Networks
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
Journal of Computational and Applied Mathematics - Special issue on SQP-based direct discretization methods for practical optimal control problems
A new neural network for solving nonlinear projection equations
Neural Networks
Mathematics and Computers in Simulation
Neural network solution of optimal control problem with control and state constraints
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Adaptive-critic based optimal neuro control synthesis for distributed parameter systems
Automatica (Journal of IFAC)
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A neural network based optimal control synthesis is presented for solving free final time optimal control problems with control and state constraints. The optimal control problem is transcribed into nonlinear programming problem which is implemented with adaptive critic neural network. The proposed simulation methods is illustrated by the optimal control problem of photosynthetic production. Results show that adaptive critic based systematic approach holds promise for obtaining the free final time optimal control with control and state constraints.