11 - 15 June 2018

Course details

  • Duration: 5 days
  • Fees:
    - per module £2000
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**Pre-requisites: To undertake this module, it is recommended that applicants take the ‘Classical Control Systems Design’ module which is also offered via the CPD route**

Module leaders

Jon Love, Dr Paul Oram

More information

Course aims

To provide a thorough grounding in the state space and sampled data based techniques for the design of control systems, with particular reference to multivariable control systems, and their implementation. 

Learning objectives

  • To establish a quantitative foundation to the design and analysis of sampled data systems. 
  • To provide a theoretical basis for applying the methods of state space and multivariable systems design. 
  • To develop an understanding of how interactions between and within loops can be handled by design. 
  • To introduce the concepts and principles of adaptive control. 

Course structure

This module is of one week's full-time intensive study consisting of a variety of lectures, informal tutorials for problem solving and computer based lab sessions. The time allocation for practical work provides for assignments making use of Matlab and Simulink.  These will consist of exercises structured to reinforce the material covered in the lectures and tutorials.