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We're here to help you find itDiscover the Model Predictive Control (MPC) Fundamentals course at Koenig Solutions, designed for those seeking to enhance their expertise in control systems. This course covers essential topics such as prediction models, optimization techniques, and constraint handling.
By the end of the course, participants will be able to formulate and implement MPC strategies, enabling them to effectively manage complex systems in real-world applications. The learning objectives focus on developing a solid understanding of MPC theory and its practical uses in industries like robotics, automotive, and process control. Equip yourself with the skills to tackle modern challenges in engineering and automation through this engaging course.
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Model Predictive Control (MPC) Fundamentals offers an in-depth understanding of advanced control strategies, catering to professionals eager to enhance efficiency in dynamic systems.
Introduction:
The Model Predictive Control (MPC) Fundamentals course equips students with foundational knowledge and practical skills in MPC methodology, focusing on optimization techniques and real-time control applications.
Learning Objectives and Outcomes:
