Single-input single-output system

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Explores linearization, state representations, and stability analysis using Lyapunov theory and zero dynamics.

Introduces the basics of multivariable control, focusing on system theory and linear systems.

Introduces multivariable control, covering system theory, linear systems, and time discretization.

Covers system variables, types of systems, and process control in static and dynamic systems.

Covers Nyquist stability criterion using transfer functions and Nyquist plots.

Covers the design of feedforward controllers and ideal disturbance rejection in process control.

Explains the lead-lag controller, process control, feedforward action, and disturbance rejection in feedback systems.

Explores the impact of integrators on systems and the Nyquist plot characteristics.

Covers the Nyquist criterion, robustness margins, and their interpretation through experimentation.

Explores simulation of common structures and control of dynamic systems through friction and elasticity constants.

Explores safe learning in automatic control systems, covering challenges, risk-sensitive control, and predictive safety filters.

Covers state-feedback controller design for multivariable systems and discusses simplified methods for MIMO systems.

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