Signals and Systems

At the end of this course, the students should be able to: 1. identify and list the characteristics, properties and types of signals and systems and describe their application in various engineering disciplines; 2. describe various system properties e.g. time invariance, linearity; 3. analyse systems and signals using Fourier, Laplace and Z-transforms; and 4. identify effective control strategies towards effective sensitivity analysis.

System modeling. Analog signals. Convolution and correlation. Fourier and Laplace Transforms. Random processes. Sampled signals and systems. Discrete Fourier transforms. Z transforms. Analog and Digital filters. Control strategies. Open-loop, feed forward and feedback control systems. Stability, performance and sensitivity analyses. Lag and Lead compensation, Frequency domain design, PID controllers. Elements of nonlinear control.