Lectures related to Control engineering

State-Space Representation: Basics & Transformations

Covers the basics of state-space representation and explores transformations to different forms.

State-Space Representation: Controllability and Observability

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

Computation of T

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

Learning and Control for Complex Systems

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

State-Space Representation: Structure Theorem

Covers the structure theorem for state-space representations and companion forms.

Safe Learning in Automatic Control Systems

Explores safe learning in automatic control systems, covering challenges, risk-sensitive control, and predictive safety filters.

State Space Control: Discrete Systems

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

Stability: Poles, Zeros, and Control

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

Model Reference Method: PID Regulator Design

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

Bode Diagram Synthesis

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

Discrete-Time Systems Analysis

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

Stability and Sensitivity in Control Systems

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

Sampling Theorem and Control Systems

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

Introduction to Feedback Control Systems: Concepts and Applications

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

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.

Electric Motors: Principles and Applications

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

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.

Control Systems: Stability and Gain Analysis

Explores the application of final value theorem and static gain in control systems.

Digital Controller Design: Pole Placement Technique

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

Modeling Autonomous Systems: Theory and Tools

Explores the significance of modeling and predicting uncertain environments for ensuring safe and high-performance autonomy in modern autonomous systems.