This course is an introduction to the engineering of control systems. The analysis and design of intelligent systems will be explored by looking at both time and frequency responses. Gain adjustment and compensation techniques for transient design, steady-state design and stability will be introduced.

The qualitative analyses of nonlinear systems through phase space techniques are also introduced.

Topics include

  • Transfer Functions
  • Modeling in the time domain: state space representation
  • Temporal response of second order systems
  • Block diagram algebra and reduction of multiple subsystems
  • Stability and steady state errors
  • Root locus techniques
  • Frequency response techniques
  • Optional-Extra topics
Class Management:

  • Attendance will be checked
  • At least two long exams will be given.
  • Grade = A if CS > 93 | Bplus if CS > 85 | B if CS > 78 | Cplus if CS > 71 | C if CS > 64 | D if CS > 50 | else F. "CS" == Class Standing
By the end of this course students should be able to

  • Represent systems using transfer functions, block diagrams, state space equations, root locus plots (as well as Bode plots and Nyquist diagrams if time permits)
  • Analyze and design systems for stability, transient response and steady state error targets
  • Perform control system visualizations, calculations and design using a computational platform of choice such as Labview, Matlab, Mathematica or R.
Required Readings
1. Norman Nise, Control Systems Engineering, Wiley.
2. Steven Strogatz, Nonlinear Dynamics and Chaos, Westview Press.

Suggested Readings
3. IEEE Spectrum including IEEE Explore journals and proceedings
4. Matlab, Labview or Mathematica manuals and documentation
5. Oppenheim, Willsky and Nawab, Signals and Systems, Prentice-Hall
6. Katsuhiko Ogata, Modern Control Engineering, Prentice-Hall.

Semester 1 - 2015

Topic revision: r1 - 01 Nov 2015 - 18:13:44 - NathanielLibatique
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