Safe Learning in Automatic Control Systems

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Related lectures (30)

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Learning and Adaptive Control for Robots: SEDS & LPV-DS

Explores learning and adaptive control for robots through SEDS and LPV-DS, emphasizing stability, non-linear dynamics, and optimization.

State-Space Representation: Controllability and Observability

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

State-Space Representation: Basics & Transformations

Covers the basics of state-space representation and explores transformations to different forms.

Computation of T

Covers the computation of tracking performance and transfer functions in digital control systems.

State-Space Representation: Structure Theorem

Covers the structure theorem for state-space representations and companion forms.

Nonlinear Model Predictive Control

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

3D Interaction: System & Control

Explores 3D interaction components, system control, symbolic input, and various interaction techniques, emphasizing the need for further work on system control performance and integration into user interfaces.

System Identification and Stability

Explores system identification, stability criteria, and challenges in stabilizing cameras on moving platforms.

Model Reference Method: PID Regulator Design

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

Effects of Poles and Zeros on System Response

Explores the effects of poles and zeros on system response and the importance of system modeling and control strategies.