Stochastic control

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Related lectures (32)

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Model Predictive Control with Multi-Region MFDs

Explores model predictive control with multi-region MFDs in traffic flow modeling and discusses the impact of heterogeneity on control strategies.

Optimal Control Theory: OCPs

Covers Optimal Control Theory, focusing on Optimal Control Problems (OCPs) and the calculus of variations.

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.

State-Space Control Design

Covers state-space control design, including state-feedback, observer, and linearization.

Multivariable Control: Design and Analysis

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

Control Theory in Protein Aggregation: Insights and Applications

Explores the application of control theory to manage protein aggregation processes, focusing on amyloid fibers and their implications in various diseases.

Optimal Control: NMPC

Covers Nonlinear Model Predictive Control (NMPC) principles, including setpoint stabilization and Pontryagin's Maximum Principle.

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.

Stability of Static Fingertip Contact

Delves into the stability of static fingertip contact, muscle stiffness impact on strength.

Signals and Systems: Introduction

Introduces the fundamental concepts of Signals and Systems course, emphasizing practical applications of system behavior analysis.