Lectures related to Digital Controller Design: Discrete-Time Models

Digital Controller Design: Pole Placement Technique

Covers digital controller design, focusing on discrete-time models and the pole placement technique.

Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.

Multivariable Control: Design and Analysis

Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.

Computation of T

Covers the computation of tracking performance and transfer functions in digital control systems.

Model Reference Method: PID Regulator Design

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

Eigenvalue Assignment in Multivariable Control

Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.

Effects of Poles and Zeros on System Response

Explores the effects of poles and zeros on system response and the importance of system modeling and control strategies.

Introduction to Feedback Control Systems: Concepts and Applications

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

Controllability and Reachability

Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.

Digital Control: Introduction and Implementation

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

Multivariable Control: Weight Design and Stability Analysis

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.

Infinite-Horizon LQ Control: Solution & Example

Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.

Multivariable Control: Linear Quadratic Gaussian Control

Explores linear quadratic Gaussian control and the challenges of modeling errors in control systems.

Control and Field Level Devices

Covers the fundamentals of control and field level devices in industrial automation, including PLCs, programming, different types of controllers, and advanced control strategies.

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State-Space Representation: Controllability and Observability

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Linear Quadratic Optimal Control: Theory and Applications

Explores Linear Quadratic optimal control theory, covering FH-LQ and IH-LQ problems and the importance of observability in control systems.

Lead-lag Controller: Recap and Feedforward Action

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

Feedback Mechanisms in Visual Intelligence and Adaptation

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

Bode Diagram Synthesis

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