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Lecture
Multivariable Control: Design and Analysis
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Related lectures (32)
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Eigenvalue Assignment in Multivariable Control
Explores Ackermann's formula and methods for eigenvalue assignment in multivariable control systems.
Computation of T
Covers the computation of tracking performance and transfer functions in digital control systems.
Digital Controller Design: Pole Placement Technique
Covers digital controller design, focusing on discrete-time models and the pole placement technique.
Duality and PBH Test in Multivariable Control
Explores duality, PBH test, observability, and exact discretization in multivariable control systems.
Digital Controller Design: Discrete-Time Models
Covers digital controller design, discrete-time models, RST controller, pole placement, regulation, tracking, and time-domain performance.
State Space Control: Discrete Systems
Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.
Introduction to Multivariable Control
Covers the basics of multivariable control, including system modeling, temperature control, and optimal strategies, emphasizing the importance of considering all inputs and outputs simultaneously.
Kalman Filtering: Applications in Control and Communication Systems
Explores the applications of Kalman Filtering in control and communication systems, focusing on state estimation and channel estimation.
Multivariable Control: State-Feedback and Eigenvalue Assignment
Covers state-feedback controller design for multivariable systems and discusses simplified methods for MIMO systems.
Introduction to Feedback Control Systems: Concepts and Applications
Covers the principles of feedback control systems and their applications in various fields.
