Model Predictive Control with Multi-Region MFDs

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Explores the Model Reference Method for designing PID regulators and cascade controllers for complex systems.

Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.

Explores the control challenge in soft robotic systems and the use of simplified models with nonlinear control theory for dynamic task execution.

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.

Explores integral control, disturbance estimation, controller design, and observer design in multivariable control systems.

Covers Data-Driven Control methods and applications in various fields, emphasizing robustness and performance.

Covers system theory, classic feedback control, and applications in green building and natural gas refrigeration plants.

Explores safe and data-efficient visual learning for robotics, covering control theory, perception systems, end-to-end learning, and expert policy.

Covers the fundamentals of traffic flow modeling, including model classification and testing techniques.