Webinar

JuliaSim: Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) Control

Webinar

JuliaSim: Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) Control

Event Date & Time

Apr 28, 2022, 1:00 PM

Apr 28, 2022, 1:00 PM

ET

Speakers

Share

Share

Event Date & Time

Apr 28, 2022, 1:00 PM

ET

Speakers

Share

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).

Speakers

Dr. Fredrik Bagge Carlson leads the Dyad Control-systems team at JuliaHub. He holds a PhD in Automatic Control from Lund University, and has over 10 years of experience in the fields of modeling, control, system identification and robotics.

Speakers

Dr. Fredrik Bagge Carlson leads the Dyad Control-systems team at JuliaHub. He holds a PhD in Automatic Control from Lund University, and has over 10 years of experience in the fields of modeling, control, system identification and robotics.

Speakers

Dr. Fredrik Bagge Carlson leads the Dyad Control-systems team at JuliaHub. He holds a PhD in Automatic Control from Lund University, and has over 10 years of experience in the fields of modeling, control, system identification and robotics.

/

/

JuliaSim: Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) Control

/

/

JuliaSim: Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) Control