Feedback Equilibrium Seeking: Robust Control for Cyber-Physical Systems

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Shortest Path: Properties of the Algorithm

Explains the properties of the shortest path algorithm and how to find the shortest path in a network.

The Geometry of Linear Optimization

Delves into linear optimization formulation, capacity expansion, investment under taxation, and revenue management in various industries.

Eigenvalue Assignment in Multivariable Control

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

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.

Luenberger Observers: Separation Principle

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

Image Processing Basics

Covers the basics of image processing, focusing on writing a program to process images.

Adaptive Gradient Methods

Explores adaptive gradient methods like AdaGrad, AcceleGrad, and UniXGrad, focusing on their local adaptation and convergence rates.

Convergence Criteria

Explores convergence criteria in optimization algorithms, emphasizing the importance of stopping conditions and attention to large values.

Applications of GAMP

Delves into applying the GAMP algorithm to simplify the lasso problem and analyze optimization challenges in neural networks.

Computational Design of Deployable Structures

Explores computational design of deployable structures and programmable mechanical metamaterials with stable memory.