Pós-Graduação

Sistemas Nebulosos (WB2207)

• dynamic systems, state-space and transfer-function models
• analysis and control design based on root locus, Nyquist plot and Bode diagrams
• lead-lag, PID and state-feedback controllers
• computer assignment using MATLAB and Simulink

Identificação de Sistemas (SC4070)

• practical laboratory sessions, using MATLAB and Simulink
• modeling of mechatronic systems, parameter estimation
• design and computer implementation of digital controllers

Processos Estocásticos (SC4080)

• intelligent control paradigms
• fuzzy logic, and fuzzy systems for modeling and control
• artificial neural networks for modeling and control
• reinforcement learning

Last modified: March 2007