Lectures related to Untitled | EPFL Graph Search

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

Explores the application of final value theorem and static gain in control systems.

Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.

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

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

Explores frequency response analysis through Bode and Nyquist diagrams, emphasizing controller synthesis and system stability.

Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.

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

Explores control of dynamic systems, impulse response, Laplace transform, and Fourier transform for solving differential equations.

Explores Z-transform analysis for discrete-time systems and transfer functions in control systems.

Explores the Laplacian flow and achieving consensus in networked control systems through examples and theorems.

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

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

Explores speed controller synthesis by imposing a model to be followed.

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

Covers the principles of feedback control systems and their applications in various fields.

Covers digital controller design, focusing on discrete-time models and the pole placement technique.

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

Explores lag compensator design in control systems, emphasizing phase margin and steady-state error improvement through practical examples.