ACS318 System Identification

Aims/Description: Modelling dynamical systems from first principles via Newton's, Kirchoff's or other known physical laws is often challenging and costly, requiring substantial expertise. An alternative is offered through 'system identification' that takes observations of inputs and outputs from physical systems and infers or estimates a dynamical model directly. This module introduces two main ways of thinking about the identification problem, the theoretical framework that underpins them and the algorithms that compute the model estimates. It uses synthetic and real problems to illustrate the process and shows how models can be validated for future use.

Staff Contact: KADIRKAMANATHAN VISAKAN

Teaching Methods: Lectures, Tutorials, Laboratory work, Independent Study

Assessment: Formal Exam

Notes: This module forms part of a degree course accredited by the Institution of Electrical Engineers and the Institute of Measurement and Control.

Information on the department responsible for this unit (Automatic Control and Systems Engineering):

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Teaching timetable

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.