MEng Electronic Engineering / Course details

Year of entry: 2022

Course unit details:
Control Systems II

Unit code EEEN30041
Credit rating 10
Unit level Level 3
Teaching period(s) Semester 2
Offered by Department of Electrical & Electronic Engineering
Available as a free choice unit? No


This unit will cover the following:

Building on the unit "Control Systems I", this unit will introduce modern state space methods for analysis and design of control systems.  Concepts will be illustrated with examples and design exercises.


  • Review of state space concepts
  • Case study: design example
  • Controller design with full state feedback
  • Pole assignment, basic introduction to LQR
  • State estimation and estimator design
  • Compensator design: combining state feedback control and state estimation
  • Tracking control: introduction of a reference input
  • Controllers with integral action
  • Digital control: dynamic analysis and design of discrete-time systems


Unit title Unit code Requirement type Description
Control Systems I EEEN20030 Pre-Requisite Compulsory
Numerical Analysis EEEN30002 Co-Requisite Compulsory


This course unit detail provides the framework for delivery in 2020/21 and may be subject to change due to any additional Covid-19 impact.  Please see Blackboard / course unit related emails for any further updates.

The course unit aims to:

  • Introduce modern methods for control systems design, based on state space models
  • Show the relationship between state-space and classical design methods
  • Introduce the concept and methodology of sampled-data control
  • Illustrate control system design methods through practical case studies

Learning outcomes

Students will be able to:

Knowledge and understanding

  • Explain the concept of a state-space model for a dynamical system
  • Point out the advantages and disadvantages of using state-space methods in control system design
  • Outline the reasons for using sampled data in a feedback control system

Intellectual skills

  • Design feedback controllers for linear systems, in continuous or discrete time, using state-space methods
  • Derive a mathematical model of a sampled-data control system, in state space form
  • Analyse the effects of data sampling on the performance of a control system

Practical skills

  • Use Matlab and Simulink for control system design

Transferable skills and personal qualities

  • Use the relevant Matlab and Simulink tools, for application in other areas

Assessment methods

Unseen Written Examination:

Four questions, answer all questions

Duration of the examination: 3 hours

Calculators are permitted

The examination forms 90% of the unit assessment


The number of laboratories: 2

The duration of each laboratory: 3 hours

Assessed by a written report for each laboratory

The coursework forms 10% of the unit assessment

Study hours

Scheduled activity hours
Lectures 20
Practical classes & workshops 6
Tutorials 4
Independent study hours
Independent study 70

Teaching staff

Staff member Role
Zhengtao Ding Unit coordinator

Return to course details