Lectures & Open Lectures:

1. Introduction & Systems Overview
   • March 4 - Lecture: Introduction & Systems Overview
   • March 6 - Open Lecture (OL):  Signals & Systems and Lecture Notes
2. Signals as Vectors & Systems as Maps
   • March 13 - Lecture:  Signals as Vectors & Systems as Maps
3. Sampling & Data Acquisition & Antialiasing Filters
   • March 18 - Lecture: Sampling & Data Acquisition & Antialiasing Filters
   • March  20 - OL: Luke's notes Chris's notes
4. System Analysis & Convolution
   • March 25 - Lecture: System Analysis & Convolution
   • March  27 - OL: Chris's notes
5. Frequency Response & Filter Analysis
   • April 1 - Lecture: Frequency Response & Filter Analysis
6. Discrete Systems & Z-Transforms
   • April 8 - Lecture: Filter Analysis & Discrete Systems
   • April 10 - OL: Z-Transforms
   • Additional reading on Z-Transforms:
     § 2.1-2.4 -- Linear, Discrete, Dynamic-Systems Analysis: The z-Transform
     of Digital Control of Dynamic Systems (2^nd Ed) by Franklin, Powerl, and Workman
7. Introduction to Control
   • April 15 - Lecture: Introduction to Digital Control (by Paul Pounds)
8. Digital Filters
   • April 29 - Lecture: Digital Filters
   • "Precise Filter Design" chapter (on a linear algebraic merthod for filter design)
     • Ref: Greg Berchin, "Precise Filter Design", Streamlining Digital Signal Processing: A Tricks of the Trade Guidebook, R. G. Lyons (ed), New Jersey: IEEE Press, 2007, pp. 59-71.
• Reference material from Franklin, Powell, and Workman (2nd Ed.)
  • Sections from Chapter 2: Linear, Discrete, Dynamic-Systems Analysis: The z-Transform
9. Digital Control Design
   • May 6 - Lecture: Digital Controls and Equivalence
   • Reference material from Franklin, Powell, and Workman (2nd Ed.)
     • Sections from Chapter 4: Discrete Equivalents to Continuous Transfer Functions: The Digital Filter
     • Sections from Chapter 5: Design of Digital Control Systems Using Transform Techniques
10. Stability of Digital Systems
    • May 13 - Lecture: Digital Control & Stability
    • May 13 - Guest Lecture: Vectors, Signals & Shannon’s Information Theory (A/Prof. Vaughan Clarkson)
11. Introduction to State-Space
    • May 20 - Lecture: Introduction to State-Space
    • Reference material from Franklin, Powell, and Workman (2nd Ed.)
      • Sections from Chapter 6: Design of Digital Control Systems Using State-Space Methods
12. PID Control & Estimation
    • May 27 - Lecture: PID & Estimation
    • Reference material from Franklin, Powell, and Workman (2nd Ed.)
      • Sections from Chapter 5: § 5.8: PID Control Design
    • The University of Michigan - Controls Tutorials for Matlab & Simulink
      • Feedback Control and Matlab Wiki - PID Control Tuning
13. Applications in Industry & Information Theory & Communications 
    • June 3 - Lecture: Information Theory + Estimation + Review + Applications
    • Class feedback survey

Please refer comments & questions to: elec3004@itee.uq.edu.au

© 2014, Robotics Design Lab / School of Information Technology and Electrical Engineering at The University of Queensland
This work is licensed under a Creative Commons License (BY-NC-SA)