Level:Postgraduate (Masters level)
Course Convenor:Dr CJ Taylor
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Curriculum Design: Outline Syllabusback to top
Intelligent control, hierarchical control architectures, review of classical and modern control, digital control systems, rule based systems, fuzzy logic, neural networks, self learning systems
Educational Aims: Subject Specific: Knowledge, Understanding and Skillsback to top
To provide an introduction to the design of intelligent control systems. To build upon current research and to enable students to make a contribution to practical applications.
Learning Outcomes: Subject Specific: Knowledge, Understanding and Skillsback to top
At the end of this module students will be able to:
- understand the various hierarchical architectures of intelligent control systems.
- use modern computational aids for the design of control systems.
- design and evaluate system performance in the time and frequency domain.
- understand and design simple rule-based controllers.
- understand and design fuzzy logic controllers.
- understand and design artificial neural networks.
Curriculum Design: Select Bibliographyback to top
CJ Taylor, PC Young and A Chotai, True Digital Control: Statistical Modelling and Non–Minimal State Space Design, Wiley, 2013.
A Biran and M Breiner, MATLAB for Engineers, Addison Wesley, 1995.
GF Franklin, JD Powell, A Emami-Naeini, Feedback Control of Dynamic Systems, Prentice Hall, 2009.