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ENGIN 251

Model Predictive Control for Autonomous Systems Introduction

1 credits · Graduate

Forecasts are fundamental in new generation of autonomous & semi-autonomous systems. Predictions of systems dynamics, human behavior and environment conditions can improve safety & performance of resulting system. Predictive control is the discipline of feedback control where forecasts are used to change in real time behavior of a dynamical system. Optimization-based control design is a highly requested skill from many industries, including energy automotive, aerospace, process control & manufacturing. This course covers basic design of SISO & MIMO and predictive feedback controllers for linear & nonlinear systems. The student will be exposed to applying predictive control design & analysis tools to classical & modern control problems.

Topics

Official catalogue course objectives and student learning outcomes

Prerequisites & course information

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