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Advanced Control - ELE00097M

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  • Department: Electronic Engineering
  • Module co-ordinator: Dr. Andrew Pomfret
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2020-21

Module summary

This module introduces a number of advanced control algorithms for state-space systems, including optimal control techniques such as LQR, leading up to Model Predictive Control (MPC) which is gaining considerable traction in industry with the availability of cheap processing power.

Related modules

Co-requisite modules

  • None

Prohibited combinations

  • None

Module will run

Occurrence Teaching cycle
A Autumn Term 2020-21

Module aims

Subject content aims:

  • To introduce advanced cost-function based control design techniques, including optimal control (LQR) and model-predictive control (MPC)
  • In particular, to provide familiarity with MPC, due to its recent widespread adoption in industrial process control applications and its continued profile as a topic of academic research, thus preparing students for both research and industrial employment
  • To discuss optimal techniques, most notably LQR, and to provide a mathematical framework for the receding-horizon terminal constraints of MPC

Graduate skills aims:

  • To develop critical skills in the selection, adaptation and application of appropriate numeric and algebraic techniques

Module learning outcomes

Subject content learning outcomes

After successful completion of this module, students will:

  • Be able to describe and compare different optimal control algorithms, and provide a comparison with classical approaches
  • Be able to derive and prove equations relating to the implementation of continuous- and discrete-time LQR and MPC control.
  • Be able to design LQR and MPC controllers using Matlab and, for simple systems, by hand.

Graduate skills learning outcomes

After successful completion of this module, students will:

  • Be able to express advanced technical concepts concisely and accurately and comment on their applications, limitations and implications
  • Be able to select, adapt and apply a range of mathematical techniques to solve advanced problems and explain the implications of the answer


Task Length % of module mark
N/A 50
Online Exam
Advanced Control
N/A 50

Special assessment rules



Task Length % of module mark
N/A 50
Online Exam
Advanced Control
N/A 50

Module feedback

'Feedback’ at a university level can be understood as any part of the learning process which is designed to guide your progress through your degree programme. We aim to help you reflect on your own learning and help you feel more clear about your progress through clarifying what is expected of you in both formative and summative assessments. A comprehensive guide to feedback and to forms of feedback is available in the Guide to Assessment Standards, Marking and Feedback. This can be found at The Department of Electronic Engineering aims to provide some form of feedback on all formative and summative assessments that are carried out during the degree programme. In general, feedback on any written work/assignments undertaken will be sufficient so as to indicate the nature of the changes needed in order to improve the work. Students are provided with their examination results within 20 working days of the end of any given examination period. The Department will also endeavour to return all coursework feedback within 20 working days of the submission deadline. The Department would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The Department will endeavour to keep such delays to a minimum. Please note that any marks released are subject to ratification by the Board of Examiners and Senate. Meetings at the start/end of each term provide you with an opportunity to discuss and reflect with your supervisor on your overall performance to date.

Indicative reading

Notes and readings will be provided in class.

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.

Coronavirus (COVID-19): changes to courses

The 2020/21 academic year will start in September. We aim to deliver as much face-to-face teaching as we can, supported by high quality online alternatives where we must.

Find details of the measures we're planning to protect our community.

Course changes for new students