Vehicle Optimization Intelligent Control Energy Laboratory
Undergraduate-Level
Dynamics (2020-S, 2021-S)
Kinematics (2020-F, 2021-F, 2022-F, 2023-F)
System Control (2020-F)
Mechanical Engineering Experiment (2021-S, 2022-S)
Creative Engineering (Computer programming and its application to engineering problem) (2021-S, 2022-F)
Chassis and Vehicle Dynamics (2022-S, 2023-S, 2024-S)
Artificial Intelligence for Engineering Application (2022-S)
Graduate-Level
Optimal Control Theory (2024-S) (English lecture)
Topics covered in this lecture
Basics of Discrete Time Linear System Theory
Basics of Optimization Theory (Duality, KKT Condition, etc)
Linear Quadratic Model Predictive Control
Model Predictive Control Design Tutorial
Reachability and Invariant Sets
Explicit Model Predictive Control
Robust Model Predictive Control
Stochastic Model Predictive Control
Nonlinear Model Predictive Control
Recursive Feasibility and Stability
Dynamic Programming
Hamilton-Jacobi-Bellman Equation
Calculus of Variation
Variational Approach to Optimal Control
Pontryagin's Minimum Principle
Other MPC variants as time permits (e.g. Learning-based MPC, Economic MPC, ...)
Digital Control Theory (2023-S): In this course, the Model Predictive Control, Optimization Theory, and Optimal Control Theory are mainly covered (details can be found by expanding the arrow) (English lecture)
Topics covered in this lecture
Basics of Discrete Time Linear System Theory
Basics of Optimization Theory (Duality, KKT Condition, etc)
Linear Quadratic Model Predictive Control
Model Predictive Control Design Tutorial
Reachability and Invariant Sets
Explicit Model Predictive Control
Robust Model Predictive Control
Stochastic Model Predictive Control
Recursive Feasibility and Stability
Dynamic Programming
Hamilton-Jacobi-Bellman Equation
Calculus of Variation
Variational Approach to Optimal Control
Pontryagin's Minimum Principle
Other MPC variants as time permits
Intelligent Control Theory (2023-F) (English lecture)
Tentative Topics: Robust MPC, Stochastic MPC, Scenario MPC, Learning-based Robust/Stochastic MPC, Gaussian Process for Regression, Gaussian Process Based MPC, Kalman Filtering (Basic, EKF, UKF)
Advanced Dynamics (2020-S, 2021-F)