Lectures related to Networked Control Systems: Microgrid Controllers and Cybersecurity

Explores decentralized control of DC microgrids, PnP controllers, explicit inequalities, and stability in voltage tracking and current sharing.

Explores Laplacian operators on graphs and the model of DC microgrids.

Explores compensation of transmission delays in remote-control settings to ensure stability in networked control systems.

Covers classic feedback control, modeling implications, challenges, and opportunities in Networked Control Systems.

Covers classic feedback control, implications for modeling and control, coordination in nature, and challenges in Networked Control Systems.

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

Explores cascade control for furnace temperature and gas pressure regulation, showcasing its advantages over single-loop systems.

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

Explores the significance of feedback mechanisms in visual intelligence and adaptation processes.

Introduces cascade control in a heat exchanger system to address disturbances in fuel gas pressure by implementing two controllers.

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

Explores cascade control, showcasing examples and characteristics, and recommends its use in specific scenarios.

Covers the limitations of actuators and the importance of staying within their bounds when using proportional controllers.

Explores Networked Control Systems, addressing packet dropouts, network delays, stability, and control laws for system boundability.

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

Explores the impact of delays and sampling on networked control systems' stability, with examples and simulations.

Explores dynamic systems, focusing on control mechanisms and stability analysis through practical examples and mathematical modeling.

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