Classes

Simulation Of Dynamic Systems

Semester: 
Spring
Offered: 
2012
  • The model and its purpose.
  • Modeling approaches: Physical based; non-poarametric modeling; parametric modeling.
  • Non-parametric modeling:the data. Modeling. Validation.
  • Parameter estimation methods. Polynomial models.
  • Physical based modeling: mechanical and thermodynamic systems. Identification and parameter evaluation. The data.
  • Simulation: Numerical integration methods.

Control Systems

Semester: 
Spring
Offered: 
2012
  • Output feedback control systems
  • State space systems behaviour
  • State feedback control systems
  • Non-linear systems: Phase plane analysis; Describing functions

Control Technology

Semester: 
Spring
Offered: 
2012

  • Introdution to Automation and Process Supervision

  • Electomagnetic technology in Automation

  • The use of Pneumatics in Automation

  • PLC's

  • Virtual instruments Design and implementation.

Signal Theory

Semester: 
Fall
Offered: 
2011
  • Introduction to Signals:  Continuous and discrete time signals; Properties; Operations
  • Introducing Systems
  • Linear, time invariant systems:   Dynamic systems;  Impulse response; Transfer function
  • The Laplace transform
  • Z transform
  • Periodic signals and the Fourier series (discrete time)
  • Discrete-time Fourier transform
  • The continuous-time Fourier Transform

Signal Analysis

Semester: 
Spring
Offered: 
2010
  1. Introducing signal analysis
  2. Sampling and signal reconstruction
  3. Discrete time systems
  4. Z transform
  5. Fourier analysis
  6. Filters
  7. Spectral analysis
  8. Examples