ModelPredictiveControl.jl - Advanced Process Control Using JuMP

Explore ModelPredictiveControl.jl, an open-source software package for designing model predictive controllers based on JuMP, in this 19-minute conference talk by The Julia Programming Language. Learn how this free toolkit contributes to the development, sharing, and advancement of new and efficient control approaches in advanced process control. Discover the package's main functionalities, including its easy-to-use and modular design, advanced features like nonlinear state estimation and control, and integration with Julia's control system framework. Gain insights into how ModelPredictiveControl.jl simplifies the construction and testing of state estimators and predictive controllers, as well as its integration with standard plotting libraries for quick visualization of closed-loop data. Examine two case studies in simulation: a continuously stirred tank reactor with linear dynamics and a nonlinear model predictive controller for an inverted pendulum. Understand how this open-source solution promotes transparency and reproducibility in scientific research, potentially benefiting the industrial sector.