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Steady-state Kalman Predictor: Examples and Comparison
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Multivariable Control: Design and Analysis
Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.
Eigenvalue Assignment in Multivariable Control
Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.
Observability in Multivariable Control
Explores observability in multivariable control systems and the PBH test for system reachability.
Multivariable Control
Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.
Multivariable Control: Linear Quadratic Gaussian Control
Explores linear quadratic Gaussian control and the challenges of modeling errors in control systems.
Law of Large Numbers: Strong Convergence
Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.
Multivariable Control: Reduced-Order Observers
Focuses on designing reduced-order observers in multivariable control systems, emphasizing the importance of observers and eigenvalue assignment in controller design.
Multivariable Control: Observers and Controllers
Covers the design of reduced-order observers and output feedback controllers in multivariable control systems.
Estimating R: Example 100
Explores correlation limitations, probability, random variables, and statistical inference using a ball-drawing example.
Estimators: Consistency and Efficiency
Explores the criteria for good estimators, emphasizing consistency and efficiency in estimation.
