Lectures related to Properties of Dynamic Systems

Covers the linearization method through two examples in process control.

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

Explains temperature regulation in tank systems through control loop elements and process control.

Covers the state-space representation of systems and models in process control.

Covers the process control of a mixing tank and optimizing its performance.

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

Covers Laplace transform rules, examples, signal transformation, and process control.

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

Covers the basics of digital control and its implementation using a microprocessor.

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

Covers methods to determine stability of closed-loop transfer functions in Process Control.

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

Discusses the effect of setpoint change on temperature in a control system and the concept of real and double poles.

Explores derivative action in PID controllers, including measurement noise amplification and historical context.

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

Introduces the concept of transfer function in dynamic systems analysis.

Covers the elements of a control loop and process control.

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

Covers the step response and gain of first-order integrating systems.

Covers the inverse Laplace transform with examples and methods for solving complex roots.