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Signal and system model and classification. Continuous time signals. Signals and vectors. Generalized Fourier series representation.. Amplitude and phase spectra of signals. Energy and power content of signals. Bandwidth of signals. The Fourier Transform and applications. Sampling of signals. Convolution of signals. Power and Energy spectral densities. Correlation functions. Time-domain analysis of continuous time systems. The system impulse response. Communication channels. Filters: LPF, HPF and BPF. Discrete time signals. The discrete Fourier transform (DFT) and the Fast Fourier transform (FFT). Spectral analysis of DFT systems. Unit sample response and response to arbitrary input sequences. Introduction to the Z-transform. Computer project. Prerequisite: 0903201 & 0903211
2010-2011
  
Open-loop and closed-loop (feedback) control systems. Examples of feedback control systems. Review of complex variables and Laplace transform. Poles and element transfer function and block diagram. Modeling of physical systems: electrical, mechanical hydraulic and pneumatic systems. Linearization of nonlinear systems. System representations: system block diagrams and signal flow graphs. Overall transfer function, block diagrams reduction techniques and Mason’s gain formula. Introduction to state-space representation. Sensitivity of open loop and closed loop control systems. Time response analysis and performance indices of first and second order systems. Dominant poles of high order systems. Routh- Hurwitz stability criterion. Steady state error coefficients. Design and effects of basic control actions and their combinations: proportional, integral and derivative. Effects of velocity feedback. Stability analysis using root locus. Bode diagrams and Nyquist stability criterion. Gain and phase margins, and obtaining transfer function using Bode diagrams. Introduction to analysis and design using statespace equations. Prerequisite/Co-requisite: 0301302
2010-2011