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Related lectures (26)
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Kalman Filter: Introduction
Introduces the Kalman Filter, a method to estimate system state from noisy measurements.
Furuta Pendulum Control
Explores the control of a Furuta pendulum and its application to complex electromechanical systems.
Simulation: Control of Dynamic Systems
Explores simulation of common structures and control of dynamic systems through friction and elasticity constants.
Control Systems: Stability and Gain Analysis
Explores the application of final value theorem and static gain in control systems.
State-space Modeling
Introduces the state-space approach to modeling dynamical systems and its utility for high-speed solution of differential equations and computer algorithms.
Dynamical Systems: Mathematical Modeling
Covers mathematical modeling of dynamical systems, focusing on electromechanical systems and DC servomotors.
Introduction to Feedback Control Systems: Concepts and Applications
Covers the principles of feedback control systems and their applications in various fields.
Properties of Dynamic Systems
Covers linearity, causality, and equilibrium points in dynamic systems studied in the course.
Notion of Transfer Function
Introduces the concept of transfer function in dynamic systems analysis.
State Space Control: Discrete Systems
Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.
