ATHENS Course KUL6
"Dynamic Process and System Optimization"

COURSE INFORMATION:

• Aim of the course is to provide the participants with a strong working knowledge about the methods and applications of dynamic optimization in engineering applications.
• Applications as diverse as satellite orbit transfers, optimally operated chemical processes, time optimal robot motions and parameter estimation in biomedical models are treated. The course will consist of lectures, interactive sessions and guided computer exercises.
• Preliminary knowledge of analysis and linear algebra (2 years) is requested, knowledge of numerical mathematics is helpful, basic computing literacy is mandatory and Matlab and C programming experience is helpful.
  A tentative list of treated topics is: Dynamic system modelling for optimization, theory of nonlinear programming and optimal control, parameter estimation and nonlinear least squares problems, model predictive control, application in chemical and mechanical engineering. The software tools to be used are IPOPT and MUSCOD-II.
• Towards the end of the course every participant will be working on formulating and solving a dynamic optimization problem of her/his own choice, so it is encouraged to think about interesting applications of dynamic optimization even before the course. The lectures and exercises will be given by the organizer, Moritz Diehl, assisted by Jan Albersmeyer.
• A short written exam for self-assessment and rehearsal will be held on Thursday and the last two days are mainly devoted to individual computer projects performed by the participants.

ROOM INFORMATION:

Day	morning	afternoon
19 March	02.54	00.62
20 March	02.54	02.54
21 March	Aud. B	00.62
22 March	02.58/00.91	Aud. B
23 March	02.54	02.54

PROGRAM:

Monday	Tuesday	Wednesday	Thursday	Friday
Introduction, Optimization: An Overview, Linear and Convex Programming	NLP Solution with MUSCOD-II and IPOPT	Optimal Control: Overview, Single Shooting, Collocation, Multiple shooting	Optimization and Optimal Control with MUSCOD-II	Working on own application example
Lunch together	Lunch	Lunch	Lunch	Lunch together
Nonlinear Programming, SQP Methods, Derivative Generation	Dynamic Process Models, Numerical Simulation Methods, Simulation using MUSCOD-II	Applications and extensions, Rehearsal and intermediate summary	Exam, Introduction to (Nonlinear) Model Predictive Control
Presentation of application examples from the participants			Social Event

REGISTRATION: