Model structure selection, noise and disturbance models, system identification- maximum likelihood, least squares, instrumental variables, correlation and frequency domain methods. Controller design in discrete time- z-transform, PID control, polynomial and state space methods, observers, LQR methods, cascade control, feedforward, selector control, gain scheduling, sampling, anti-aliasing and reconstruction, discrete equivalents of continuous time controllers, dead time compensation, nonlinearities, introduction to multivariable methods. Lab component includes identification and real time control of various processes, graphical user interface design and logic programming using Stateflow software.
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