CET717 Optimal Control, Design and Implementation of Digital Controllers

Course Provider

School of Electrical and Electronic Engineering (EEE)



Academic Unit



Controller design and implementation are essential for all control systems. It is therefore important to learn some fundamental design approaches and implementation schemes. The objectives include equipping learners with such methodologies. Topics such as optimal control design in state space, digital implementation of analog controller design, frequency domain design, direct control design based on pulse transfer function and implementation aspects will be covered.

This course is part of:
- Graduate Certificate in Computer Control and Automation
- FlexiMasters  in Computer Control and Automation

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Upon completion, learners should:

1. Understand the principle of linear optimal control and the solution of the discrete Riccati equation;

2. Able to design an optimal controller that optimises a given performance objective function;

3. Able to design controllers based on digitization method, frequency domain approach and direct technique and;

4. Know how to implement digital controllers.

The discrete maximum (minimum) principle. Linear quadratic control. Dynamic programming. The solution of the discrete Riccati equation. Digitization technique. Direct technique. Lead compensation. Lag compensation. Laglead compensation. Frequency-response characteristics. Deadbeat response. Implementation aspects. Programming. Realization.

Automation Engineers for upgrading and Engineers who wish to switch to the automation field.

Learners must take CET716 State-Space Design Methods before attempting this course.

Standard Course Fee: S$1,620

SSG Funding Support

Course fee payable after SSG funding, if eligible under various schemes

Fee BEFORE funding & GST

Fee AFTER funding & 8% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)



Enhanced Training Support for SMEs (ETSS)


SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

Read more about funding
CET715 Discrete Time System Modelling and Analysis1
CET716 State-Space Design Methods1
CET718 Linear and Nonlinear Programming1
CET719 Random Processes and Queuing Models1
CET720 Decision Analysis1
CET721 Robot Kinematics1
CET722 Robot Control1
CET723 Robotic Sensing and Sensors1
CET724 Image Processing for Vision1
CET725 Pattern Recognition and Stereo Vision1
CET726 Three-dimensional computer vision1
CET727 Process modelling1
CET728 Model predictive control1
CET729 Multivariable process control1

Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Computer Control and Automation (total 9AUs) and FlexiMasters in Computer Control and Automation (total 15AUs)
  • SSG funded and SkillsFuture Credit approved