Introduces the industrial context for the application of control theory, including system modeling (linear, nonlinear, discrete, continuous and probabilistic models) and problem definition, determining system components and architectures, dealing with limitations and constraints (nonlinearity, disturbances and uncertainties), standard and advanced controls design (linear, nonlinear, and optimal control methods) and tuning methods. Computer-aided controls engineering is emphasized (algorithms/MATLAB).