This module continues the study of classical control and signal processing and further takes the classical control and signal processing developed in module EL569 into the digital domain. Tools are developed for analysis in the digital environment and there is a strong emphasis on design and evaluation.
Total contact hours: 52
Private study hours: 98
Total study hours: 150
Examination 60%
Coursework 40%
Control
• Dorf, RC, Bishop, Robert H. (c2011) Modern control systems, Pearson, Boston, London
• Dorsey, J (2002) Continuous and discrete control systems: modelling, identification, design, and implementation, McGraw-Hill, Boston, London
• Nise, NS. (c2011) Control systems engineering, J Wiley, Hoboken N.J
• Ogata, K (c2010) Modern control engineering, Pearson, Boston, London
• Ogata, K (1995) Discrete-time control systems, Prentice Hall, Upper Saddle River, N.J
• Franklin, GF, Powell, DJ, Emami-Naeini, A (c2010) Feedback control of dynamic systems, Pearson, London, Upper Saddle River, N.J.
DSP
• Introduction to digital signal processing - Meddins, Bob, Dawsonera 2000
• Digital signal processing: a practical approach - Ifeachor, 2002
• Digital signal processing - Proakis, John G., Manolakis, Dimitris G. 2007
See the library reading list for this module (Canterbury)
1. Understand Analog to Digital and Digital to Analog Conversion and the Sampling Theorem
2. Understand the Discrete Fourier Transform, the Fast Fourier Transform and the z-Transform
3. Design and implement digital FIR and IIR Filters
4. Understand some real-world applications of Digital Signal Processing
5. Apply classical feedback control methods
6. Understand controller emulation methods
7. Design and implement digital feedback control systems
8. Understand the application of control theory in real life engineering systems.
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