Tools for Non-Linear Model Predictive Control Using JuliaSim

Explore non-linear Model-Predictive Control (MPC) in this technical demonstration video focused on developing a lane-changing controller using JuliaSim Control. Master the advantages of incorporating plant models with non-linear dynamics, implementing non-quadratic cost functions with high interpretability, and handling non-linear constraints. Through a practical case study of self-driving car control, learn to construct simple dynamical models in Julia, define reference trajectories with controller constraints, and evaluate synthesized controller performance. With only basic modeling and simulation knowledge required, gain hands-on experience with JuliaSim Control's comprehensive toolkit for designing model predictive controllers.