Distinguished Speaker Seminar Series| Multi-Parametric Optimization & Control in Multi-Scale Energy & Process System
Distinguished Speaker Seminar Series| Multi-Parametric Optimization & Control in Multi-Scale Energy & Process System
Abstract:
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, and in the presence of disturbances and uncertainty. The main advantage of this approach is that it reduces repetitive on-line control and optimization to simple function evaluations, which can be implemented on simple computational hardware, such as a microchip, thereby opening avenues for many real-time and real-life applications in chemical, energy, automotive, and biomedical equipment, devices and systems.
In this presentation, we will first provide a historical progress report of the key developments in multi-parametric optimization and control. We then describe PAROC, a systematic framework and prototype software system which allows for the representation, modelling and solution of integrated design, operation and advanced control problems. Its main features include: (i) a high-fidelity dynamic model representation, also involving global sensitivity analysis, parameter estimation and mixed integer dynamic optimization capabilities; (ii) a suite/toolbox of model approximation methods; (iii) a host of multi-parametric programming solvers (POP – parametric Optimization] for mixed continuous/integer problems; (iv) a state-space modelling representation capability for scheduling and control problems; and (v) an advanced control toolkit for multi-parametric/explicit MPC and moving horizon optimization and scheduling problems. Algorithms that enable the integration capabilities for design, scheduling and control are presented along with applications in sustainable energy systems, real-time smart manufacturing and process intensification.
Biography: Professor Pistikopoulos is the Director of the Texas A&M Energy Institute and holds the Dow Chemical Chair Professorship in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He was a Professor of Chemical Engineering at Imperial College London, UK (1991-2015) and a former Director of its Centre for Process Systems Engineering. He holds a Ph.D. degree from Carnegie Mellon University and he worked with Shell Chemicals in Amsterdam before joining Imperial. He has authored or co-authored over 550 major research publications in the areas of modelling, control and optimization of process, energy and systems engineering applications, 15 books and 3 patents. A co-founder of Process Systems Enterprise (PSE) Ltd (now Siemens PSE), he is a Fellow of AIChE and IChemE and the current Editor-in-Chief of Computers & Chemical Engineering. He is a past Chair of the Computing and Systems Technology (CAST) Division of AIChE and served as a trustee of the Computer Aids for Chemical Engineering (CACHE) Organization (2014-2019). Prof. Pistikopoulos was a co-recipient of the prestigious Mac Robert Award from the Royal Academy of Engineering in 2007, the recipient of the Computing in Chemical Engineering Award of CAST/AIChE in 2013, the IChemE’s Sargent Medal in 2020, and the AIChE’s Sustainable Engineering Forum Award in 2021. He received the title of Doctor Honoris Causa from the University Politehnica of Bucharest in 2014, and from the University of Pannonia in 2015. He was elected a Member of the Academy of Medicine, Engineering and Science of Texas (TAMEST) in 2021. In 2013, he was elected Fellow of the Royal Academy of Engineering in the UK. In 2022, he received The Association of Former Students Distinguished Achievement Award for Research, and in 2023, he was named a University Distinguished Professor, at Texas A&M.