Control Systems Fundamentals and Applications Using MATLAB Course Overview

The Introduction to Model Predictive Control (MPC) course offers a thorough foundation in MPC principles, focusing on key concepts like stability, optimality, and state feedback. Participants will learn to design and implement both basic and constrained MPC techniques within various real-world controls. Ideal for control engineers, system designers, and graduate students, this course ensures you possess the essential tools for effective MPC application. Structured across five engaging lectures, you will explore different models, understand their significance, and analyze the implications of constraints, equipping you to tackle complex control challenges with confidence. Join us to advance your expertise in this critical area of automation.