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This volume covers theoretical advances and developments, computational challenges and tools as well as applications in the area of multi-parametric model based control.
Part I is concerned with the presentation of algorithms for parametric model based control focusing on:
- novel frameworks for the derivation of explicit optimal control policies for continuous time-linear dynamic systems
- new theoretical developments on hybrid model based control
- methods for obtaining the explicit robust model-based tracking control
- theoretical frameworks for parametric dynamic
…mehr

Produktbeschreibung
This volume covers theoretical advances and developments, computational challenges and tools as well as applications in the area of multi-parametric model based control.

Part I is concerned with the presentation of algorithms for parametric model based control focusing on:

- novel frameworks for the derivation of explicit optimal control policies for continuous time-linear dynamic systems

- new theoretical developments on hybrid model based control

- methods for obtaining the explicit robust model-based tracking control

- theoretical frameworks for parametric dynamic optimization and

- recent developments for continuous-time systems

Part II presents a series of application in the following areas:

- the incorporation of advanced model based controllers in a simultaneous process design and control framework for complex separation systems

- the development of advanced model based control techniques for regulating the blood glucose for patients with Type 1 diabetes

- the design of model predictive and parametric controllers for anesthesia.

- the development of optimal control policies in a pilot plant exothermic reactor

The volume is intended for academics and researchers that carry out model based control research, industrial practitioners involved in the control of new and existing processes and products, policy makers, as well as for educational purposes both in academia and industry.
Autorenporträt
Efstratios N. Pistikopoulos is a Professor of Chemical Engineering at Imperial College London and the Director of its Centre for Process Systems Engineering (CPSE). He holds a first degree in Chemical Engineering from Aristotle University of Thessaloniki, Greece and a PhD from Carnegie Mellon University, USA. He has supervised more than twenty PhD students, authored/ co-authored over 150 major research journal publications and been involved in over 50 major research projects and contracts. As co-founder and Director of two successful spin-off companies from Imperial, Process Systems Enterprise (PSE) Limited and Parametric Optimization Solutions (PAROS) Limited, he consults widely to a large number of process industry companies.

Michael C. Georgiadis is a senior researcher in the Centre for Process Systems Engineering at Imperial College London and the manager of academic business development of Process Systems Enterprise Ltd in Thessaloniki, Greece. He holds a first degree in Chemical Engineering from Aristotle University of Thessaloniki and a MSc and PhD from Imperial College. He has authored/ co-authored over 40 journal publications and two books. He has a long experience in the management and participation of more than 20 collaborative research contracts and projects.

Vivek Dua is a Lecturer in the Department of Chemical Engineering at University College London. He obtained his first degree in Chemical Engineering from Panjab University, Chandigarh, India and MTech in chemical engineering from the Indian Institute of Technology, Kanpur. He joined Kinetics Technology India Ltd. as a Process Engineer before moving to Imperial College London, where he obtained his PhD in Chemical Engineering. He was an Assistant Professor in the Department of Chemical Engineering at Indian Institute of Technology, Delhi before joining University College London. He is a co-founder of Parametric Optimization Solutions (PAROS) Ltd.