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Related lectures (29)
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State-Space Representation: Controllability and Observability
Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.
Untitled
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.
