2018 Park Reilly Distinguished Lecture | Multi-Parametric Optimization & Control in Multi-Scale Energy Systems, by Professor Stratos Pistikopoulos
Model based multi-parametric optimization provides a complete map of solutions of an optimization problem as a function of, unknown but bounded, parameters in the model, in a computationally efficient manner, without exhaustively enumerating the entire parameter space. In a Model-based Predictive Control (MPC) framework, multi-parametric optimization can be used to obtain the governing control laws – the optimal control variables as an explicit function of the state variables.