JuliaSim: Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) Control
Julia Computing Webinar
When: Wednesday 27 April 2022, 12:00 pm - 1:00 pm Eastern Time (US)
Where: Online
JuliaSim is the fastest, most efficient and most productive modeling and simulation platform, combining the latest scientific machine learning (SciML) techniques with equation-based digital twin modeling and simulation. JuliaSim is cloud-based and can accelerate modeling and simulation 500x or more.
This Webinar will include control design for a multiple-input, multiple-output (MIMO) system with constraints on both states and inputs. We will design progressively more advanced controllers, starting with autotuning a Proportional-Integral-Derivative (PID) controller and culminating with nonlinear Model Predictive Control (MPC).
The Webinar is led by Julia Computing's Dr. Fredrik Bagge Carlson. Fredrik received his MSc and Ph.D. from Dept. Automatic Control at Lund University. He has a background in robotics and an interest in developing software tools for control, identification, and simulation, which he is pursuing as part of the simulation team at Julia Computing.