Offset-free tracking: Necessary conditions and Feedforward compensation

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Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.

Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.

Explores Luenberger observers in multivariable control systems, emphasizing observer stability, separation principle, and filter design.

Discusses closed-loop eigenvalue selection and disturbance impact in multivariable control systems.

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 integral control, disturbance estimation, controller design, and observer design in multivariable control systems.

Covers the design of reduced-order observers and output feedback controllers in multivariable control systems.

Covers the proof of the recursive formula for the optimal gains in LQ control over a finite horizon.

Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.