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Related lectures (28)
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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.
State-Space Representation: Controllability and Observability
Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.
Stability: Poles, Zeros, and Control
Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.
State-Space Representation: Basics & Transformations
Covers the basics of state-space representation and explores transformations to different forms.
Computation of T
Covers the computation of tracking performance and transfer functions in digital control systems.
Bode Diagram Synthesis
Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.
Model Reference Method: PID Regulator Design
Explores the Model Reference Method for designing PID regulators and cascade controllers for complex 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.
Safe Learning in Automatic Control Systems
Explores safe learning in automatic control systems, covering challenges, risk-sensitive control, and predictive safety filters.
