Lectures related to Robustness Disturbance

Explores closed-loop control systems, PID regulator design, and performance analysis.

Explores regulating an analog system and analyzing its behavior in digital domain.

Explores closed loop systems, simple regulators, transfer functions, and controller adjustments for system performance improvement.

Explains Nyquist stability criteria and loop shaping for system performance and robustness.

Explores robot control strategies, decentralized controllers, and the role of P, PD, and PID controllers in position control of DC motors.

Covers the Nyquist criterion for stability analysis in control systems, using the Nyquist diagram to determine closed loop poles.

Explores transfer functions in closed-loop systems, including pole transformation, control algorithms, and system sensitivity.

Covers closed-loop transfer functions in control systems, focusing on computing system responses to impulsive disturbances.

Explores transfer functions, control algorithms, and system transformations in discrete and analog systems, with practical exercises included.

Discusses closed-loop eigenvalue selection and disturbance impact in multivariable control systems.

Explores model-matching via PID controllers and second-order systems for desired behavior in system control.

Explores the Nyquist criterion for closed-loop stability and the importance of evaluating Nyquist plots for system stability.

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

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

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

Explores the sensory-motor loop concept using two robots to show open and closed loop control circuits.

Explores capacitive sensors, particularly accelerometers, covering design, operation, transfer functions, and conditioning techniques.

Introduces the Nyquist criterion to determine system stability and covers BIBO stability and stability conditions.

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

Explains steady-state offset, system types, and integrator impact on stability.