vipulkumbhar/AuE893_Robust_Predictive_Control
This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied to and studied for linear/non-linear plants.
This project explores various advanced control strategies to optimize complex systems like microgrids, especially when facing uncertainties. It takes models of dynamic systems, along with information about disturbances or uncertainties, and provides optimized control actions and predicted system behavior. This would be valuable for control engineers, researchers, or operations managers designing and implementing robust control systems in energy, robotics, or industrial automation.
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Use this if you need to compare and understand different robust and stochastic model predictive control methods for systems with uncertainties or disturbances.
Not ideal if you are looking for a plug-and-play solution for a simple control problem without significant system uncertainties.
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Jul 20, 2022
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