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.


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;
  • State-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: 21.10.2024 - 05.12.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Francesco Corona

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    We study the mathematical principles and the basic computational tools of state-feedback and optimal control to manipulate the dynamic behaviour of process systems. The course aims at understanding state-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 for whole curriculum period:

    Home assignments and/or project work, and exam.

  • valid for whole curriculum period:

    Lectures (24h) and Exercises (24h)

    Home assignments and independent study (80h)

    Exam (4h)


Study Material
  • valid for whole curriculum period:

    Process dynamics and control, by D. Seborg (2016);
    Feedback systems: An introduction for scientists and engineers, by K. Åstrom and R. Murray (2010);

Substitutes for Courses
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    4 Quality Education

    5 Gender Equality

    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


Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn II
    2025-2026 Autumn II


    A maximum number of 65 students is admitted to the course. Priority is given to degree students taking in the Chemical and Metallurgical Engineering MSc programme and the Chemical and Process Engineering major of the Chemical, Biochemical and Materials Engineering MSc programme. If space, other students (exchange students, other Aalto MSc students, doctoral students, etc) will be admitted to the course based on registration order.

    A course implementation may be cancelled if the number of students enrolled to the course implementation does not meet the required minimum of five students. In the case of cancelled course implementations, the students enrolled to them will be provided with an alternative way of completing the course or advised to take some other applicable course.