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Lecture
Optimal Control Theory
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Related lectures (32)
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Optimal Control: NMPC
Covers Nonlinear Model Predictive Control (NMPC) principles, including setpoint stabilization and Pontryagin's Maximum Principle.
Safe Learning for Robotics
Explores safe and data-efficient visual learning for robotics, covering control theory, perception systems, end-to-end learning, and expert policy.
Value Iteration Acceleration: PID and Operator Splitting
Explores accelerating the Value Iteration algorithm using control theory and matrix splitting techniques to achieve faster convergence.
Eigenvalue Assignment in Multivariable Control
Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.
Control Theory Fundamentals
Covers the basic concepts of control theory and the selection of optimal controls.
Networked Control Systems: Fundamentals and Stability Analysis
Covers the fundamentals and stability analysis of Networked Control Systems, including software installation, dynamical systems, equilibrium states, and stability testing.
Motor Intelligence for Soft Robots
Explores the control challenge in soft robotic systems and the use of simplified models with nonlinear control theory for dynamic task execution.
Controllability and Reachability
Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.
Safe Learning for Robotics
Covers safe learning for robotic systems, including safety assurances and control theory.
Linear Systems Control: Fundamentals and Applications
Explores linear systems control fundamentals, controllability, and optimal control choices.
