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State-Space Representation: Controllability and Observability

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

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PID Control in Robotics

Explores the impact of P, D, and I parameters on control systems in robotics.

State Space Control: Discrete Systems

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

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.

Electric Motors: Principles and Applications

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

Control Systems: Synthesis

Explores speed controller synthesis by imposing a model to be followed.

Nonlinear Model Predictive Control

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

PID Control: Basics

Covers the basics of PID control, including the roles of P, I, and D terms and how to choose the controller constants effectively.