Level:Part II (yr 4)
Course Convenor:Dr CJ Taylor
back to top
- 80% Exam, Optional, Default
- 20% Coursework, Optional, Default
CMod descriptionback to top
an introduction to the design of intelligent control systems. To build upon
current research and to enable students to make a contribution to practical
Curriculum Design: Outline Syllabusback to top
Review of classical and modern control; discrete-time transfer functions and data-based modelling; model-based control and state variable feedback; rule based systems; fuzzy logic.
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 course, the student should:
- understand hierarchical architectures and objectives of intelligent control systems.
- use modern computational aids for the design of control systems.
- understand and design discrete-time model-based controllers;
- understand and design simple rule-based controllers.
- understand and design fuzzy logic controllers.
Curriculum Design: Select Bibliographyback to top
Ross, T.J., Fuzzy Logic with Engineering Applications McGraw-Hill, 1995. ISBN: 0071136371. Franklin, G.F., Powell, J.D., Emami-Naeini, A., Feedback control of dynamic systems, Addison Wesley, 1994 (3rd Ed.) ISBN: 0201527472. Biran, A. and Breiner, M., MATLAB for Engineers, Addison Wesley 1993. ISBN: 0201565242. Young, P.C., Recursive estimation and time series analysis, Communication and Control Engineering series; Springer-Verlag, Berlin, 1984. ISBN: 3540136770. Popper, K. R., The Logic of Scientific Discovery, Hutchinson: London, 1959. ISBN: 0091117208 / 0091117216.