Lectures related to System Variables and Types of Systems

Covers linearity, causality, and equilibrium points in dynamic systems studied in the course.

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

Introduces the concept of transfer function in dynamic systems analysis.

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

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

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

Covers the linearization method through two examples in process control.

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

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

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

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

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

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

Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.

Delves into Chaos Theory, exploring chaotic systems, sensitivity to initial conditions, and the dynamics of the double pendulum.

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

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

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

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