Lectures related to Digital control

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.

Computation of T

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

Digital Controller Design: Discrete-Time Models

Covers digital controller design, discrete-time models, RST controller, pole placement, regulation, tracking, and time-domain performance.

Discrete Systems Analysis: Z-Transform and System Properties

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

Digital Control: Introduction and Implementation

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

Sampling Theorem and Control Systems

Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.

Digital Control Implementation

Explores the transition from analog to digital control systems using microprocessors.

Discrete-time Systems: Z-transform and Stability

Explores Z-transform, stability analysis, and discrete-time controller implementation.

State-Space Control Design

Covers state-space control design, including state-feedback, observer, and linearization.

Networked Control Systems: Stability and Boundability

Explores stability and boundability in networked control systems, covering the impact of packet dropouts and the design of controllers for ensuring system stability.

Discretisation of Continuous Time Systems

Explores the discretisation of continuous-time systems for digital control and stability preservation.

SISO Polynomial Controllers: Sylvester Matrix, Internal Model Principle

Covers the design of SISO polynomial controllers using concepts such as the Sylvester matrix and model matching.

Digital Signal Processing: Theory

Covers the theory of digital signal processing, including sampling, transformation methods, digitization, and PID controllers.

Multivariable Control: System Theory and Linear Systems

Introduces multivariable control, covering system theory, linear systems, and time discretization.

Introduction to Feedback Control Systems: Concepts and Applications

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

Digital Control: Sampling Time Trade-offs

Discusses the trade-offs in selecting sampling time for digital control systems.

Discrete-Time Systems Analysis

Explores Z-transform analysis for discrete-time systems and transfer functions in control systems.

Nyquist Stability Criteria

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

Eigenvalue Assignment in Multivariable Control

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