Large scale model predictive control with neural networks and primal active sets

Efficient model predictive control for large-scale urban traffic networks

made important contributions to the work described in this dissertation. Acknowledgements In the last four years, during the time when I was working towards this thesis, there were both cheerful moments and tough moments. All these moments made this part of my life more colorful and more meaningful. I owe a lot of thanks to the people who guided me, who help me, who accompanied me, who shared t...

Decentralized Adaptive Control of Large-Scale Non-affine Nonlinear Time-Delay Systems Using Neural Networks

In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...

Model predictive control of large scale processes

Model predictive control is a receding horizon control policy in which a linear or quadratic program with linear constraints is solved on-line at each sampling instance. An algorithm is developed that allows quick computation of suboptimal control moves. The linear constraint set is approximated by an ellipsoid and a change of variables is performed so that a solution may be computed eciently ...

Decentralized Interaction Estimators in Large Scale Power Systems with Neural Networks.

Neural Networks in Model Predictive Control

ABSTRACT The contribution is aimed at predictive control of nonlinear processes with the help of artificial neural networks as the predictor. Since this methodology is relatively wide, paper only concentrates on the prediction via artificial neural networks. Special attention is paid to the usage of offline-learnt predictor based on multilayer feed forward neural network. The proposed method is...