Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
LEARNING OUTCOMES
After the course, the participant will understand:
- Dynamic process models using input-output and state-space representations;
- Process dynamics and stability of linear time-invariant process models;
- Controllability and observability of linear time-invariant process models;
- Feedback control and the synthesis of linear quadratic regulators LQR;
- Optimal state estimation and the Kalman filter;
- Optimal estimation and control using linear quadratic Gaussian regulators LQG.
Credits: 5
Schedule: 27.10.2020 - 04.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Francesco Corona
Teacher in charge (applies in this implementation): Francesco Corona
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
We study the mathematical principles and the basic computational tools of state-feedback and optimal control theory to manipulate the dynamic behaviour of process systems. The course aims at bringing understanding of feedback control in process systems while at the same time showing how this approach can be used in general application domains in chemical and bio-chemical engineering.
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
Home assignments and/or project work, and exam.
Workload
Valid 01.08.2020-31.07.2022:
Lectures (32h) and Exercises (16h)
Home assignments and independent study (80h)
Exam (4h)
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
- Process dynamics and control, by D. Seborg (2016);
- Feedback systems: An introduction for scientists and engineers, by K. Åstrom and R. Murray (2010);
- Stochastic optimal control: Theory and application (aka Optimal control and estimation), by R. Stengel (1986/1994).
Substitutes for Courses
Valid 01.08.2020-31.07.2022:
CHEM-E7140 Process automation
Prerequisites
Valid 01.08.2020-31.07.2022:
Conservation laws, ordinary differential equations, linear algebra and elements of optimisation and probability theory.
SDG: Sustainable Development Goals
6 Clean Water and Sanitation
7 Affordable and Clean Energy
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
11 Sustainable Cities and Communities
12 Responsible Production and Consumption
13 Climate Action
14 Life Below Water
- Teacher: Corona Francesco