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Related lectures (32)
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Multivariable Control: Eigenvalues and Modes
Explores eigenvalues and modes in multivariable control systems, focusing on their analysis and behavior.
Exact and Approximate Sampling in Multivariable Control
Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.
Multivariable Control: Correlated Noise
Explores the handling of correlated noise in multivariable control systems, emphasizing the Kalman Filter's adaptation and performance evaluation.
Extended Kalman Predictor: Linearized KF
Explores the Extended Kalman Predictor algorithm and the linearized Kalman Filter for multivariable control systems, discussing the challenges and applications.
Multivariable Control: Linear Quadratic Gaussian Control
Explores linear quadratic Gaussian control and the challenges of modeling errors in control systems.
Multivariable Control: State Estimation and Kalman Filtering
Explores state estimation and Kalman filtering for multivariable control systems, with applications in communication channels and vehicle navigation.
Multivariable Control: Kalman Predictor and Estimators
Explores Kalman predictors and estimators in multivariable control systems.
Multivariable Control: Equilibria and Stability Analysis
Explores equilibria and stability analysis in multivariable control systems, focusing on eigenvalues and system modes.
Projected Gradient Descent: Convergence and Optimization
Explores Projected Gradient Descent for optimization and control systems.
Linear Quadratic Optimal Control: Theory and Applications
Explores Linear Quadratic optimal control theory, covering FH-LQ and IH-LQ problems and the importance of observability in control systems.