This paper presents a survey of the most significant results on robust control theory. In
particular, we study the modeling of uncertain systems, robust stability analysis for systems …

We consider the problem of learning a realization for a linear time-invariant (LTI) dynamical
system from input/output data. Given a single input/output trajectory, we provide finite time …

The properties of positively invariant sets are involved in many different problems in control
theory, such as constrained control, robustness analysis, synthesis and optimization. In this …

A fully updated textbook on linear systems theory Linear systems theory is the cornerstone of
control theory and a well-established discipline that focuses on linear differential equations …

This book emphasizes the application of Linear Parameter Varying (LPV) gain scheduling
techniques to the control of wind energy conversion systems. This reformulation of the …

Research in robust control theory has been one of the most active areas of mainstream
systems theory since the late 70s. This research activity has been at the confluence of …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

Robustness is often of crucial importance in control system design. Real engineering
systems are vulnerable to external disturbance and measurement noise and there are …

The presence of uncertainty in a system description has always been a critical issue in
control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain …

In this paper, we study the effect of a network in the feedback loop of a control system. We
use a stochastic packet-loss model for the network and note that results for discrete-time …