This document provides a brief proposal for “Robust Optimization & Robust Control Synthesis” reading group.

A new framework is developed for control of constrained nonlinear systems with structured parametric uncertainty. Forward invariance a safe set achieved through online parameter adaptation and data-driven model estimation. The adaptive safety paradigm merged recent controller nominally contracting in closed-loop. This unification more general than other controllers as contraction does not requi...

This work proposes a new adaptive-robust control (ARC) architecture for a class of uncertain Euler-Lagrange (EL) systems where the upper bound of the uncertainty satisfies linear in parameters (LIP) structure. Conventional ARC strategies either require structural knowledge of the system or presume that the overall uncertainties or its time derivative is norm bounded by a constant. Due to unmode...

Piezoelectric actuators are widely used in applications of micropositioning. In the most situations, there is a contact with an environment. Existence of external forces is a challenging problem in controlling mechanical system, especially in micro scales such as piezoelectric actuators. In such a situation, dual hysteresis nonlinearity effects could disrupt the actuator micropositioning accura...

This paper applies the Feedback Error Learing and H framework to develop a robust model and adaptive architecture for web server performance control and service delay guarantees. Web server model is approximated with a two tank system that includes many uncertainly components. In contrast with web server delay control that only control delay, our architecture based on H robust control and queui...