Laboratory introduction to the design, analysis and interpretation of key components of an intelligent physical system: sensing, communication, computation, simulation, programming, and control. Modeling and simulation of physical phenomena. Design of control algorithms (e.g., PID, state feedback) applied to a variety of physical systems. Modeling systems from data. Analysis of data, algorithm development, and implementation in hardware, including nonlinear and hardware effects of discretization, delays, saturation, and sampling. Extensive use of METLAB and Simulink.
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