Design and analysis of experiments. Data processing and analysis. Parameter estimation and model discrimination. Sampled-data control theory with applications in digital computer control systems. Nonlinear methods of dynamic analysis. Optimal control via calculus of variations and the maximum principle. This course includes lab/ simulation component.
