With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …

This paper reviews the vast literature on static output feedback design for linear time-
invariant systems including classical results and recent developments. In particular, we …

In this article, we propose a new method to obtain feedback controllers of an unknown
dynamical system directly from noisy input/state data. The key ingredient of our design is a …

We present a framework for systematically combining data of an unknown linear time-
invariant system with prior knowledge on the system matrices or on the uncertainty for robust …

The 'scenario approach'is an innovative technology that has been introduced to solve
convex optimization problems with an infinite number of constraints, a class of problems …

Numerous tasks in control systems involve optimization problems over polynomials, and
unfortunately these problems are in general nonconvex. In order to cope with this difficulty …

This note investigates the robust stability of uncertain linear time-invariant systems in
polytopic domains by means of parameter-dependent linear matrix inequality (PD-LMI) …

We consider robust semi-definite programs which depend polynomially or rationally on
some uncertain parameter that is only known to be contained in a set with a polynomial …

The integral quadratic constraints (IQC) approach facilitates a systematic and efficient
analysis of robust stability and performance for uncertain dynamical systems based on linear …

This paper studies a class of partially observed Linear Quadratic Gaussian (LQG) problems
with unknown dynamics. We establish an end-to-end sample complexity bound on learning …