E251: Model Predictive Control for Autonomous systems – Introduction

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