Safe Learning in Automatic Control Systems

Related lectures (30)

Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.

Explores challenges in designing systems with untrustworthy components, focusing on verification, control, and interaction in unreliable systems.

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

Explores electric motor principles, linearity, control systems, active suspensions, and Laplace transforms.

Explores the design and optimization of car suspensions for improved performance.

Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.

Explores stability, sensitivity, tracking performance, and regulation error in control systems.

Covers the modeling of dynamic systems, including definitions, examples, and linearization processes for easier analysis.

Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.

Introduces control theory fundamentals, including controllability and invertibility of systems.

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