Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook
Optimization of Industrial Processes at Supervisory Level: Application to Control of Thermal Power Plants
Efficient Predictive Control Integrated with Economic Optimisation Based on Neural Models
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
A Family of Model Predictive Control Algorithms With Artificial Neural Networks
International Journal of Applied Mathematics and Computer Science
Neural models in computationally efficient predictive control cooperating with economic optimisation
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
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This paper presents a Model Predictive Control (MPC) algorithm for on-line economic optimisation of nonlinear technological processes. The economic profit is explicitly expressed in the minimised objective function. The algorithm uses only one dynamic neural model, which is linearised on-line. As a result, an easy to solve on-line quadratic programming problem is formulated. In contrast to the classical multilayer control system structure, the necessity of repeating two nonlinear optimisation problems at each sampling instant is avoided.