Multivariable Control: Correlated Noise

Related lectures (32)

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Explores state estimation and Kalman filtering for multivariable control systems, with applications in communication channels and vehicle navigation.

Discusses the steady-state Kalman predictor, provides examples, and compares Luenberger and Kalman filtering.

Explores electronic, thermomechanical, and amplifier noise, calibration of amplitude, frequency tracking, and system limits.

Explores electrical metrology, covering random variables, noise sources, and their impact on electronic devices.

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.

Covers the design and implementation of state observers and output-feedback controllers in multivariable control systems.

Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.

Explores the impact of noise in microelectronics on various circuit stages and devices.

Explores the applications of Kalman Filtering in control and communication systems, focusing on state estimation and channel estimation.

Explores noise in electronics, covering average power, signal-to-noise ratio, deterministic and random signals, and noise amplification.