From static output feedback to structured robust static output feedback: A survey
MS Sadabadi, D Peaucelle - Annual reviews in control, 2016 - Elsevier
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 …
invariant systems including classical results and recent developments. In particular, we …
Gradient sampling methods for nonsmooth optimization
This article reviews the gradient sampling methodology for solving nonsmooth, nonconvex
optimization problems. We state an intuitively straightforward gradient sampling algorithm …
optimization problems. We state an intuitively straightforward gradient sampling algorithm …
[图书][B] Stability, control, and computation for time-delay systems: an eigenvalue-based approach
W Michiels, SI Niculescu - 2014 - SIAM
The interconnection between two (or more) physical systems is always accompanied by
transfer phenomena (material, energy, information) such as transport and propagation …
transfer phenomena (material, energy, information) such as transport and propagation …
[图书][B] Stability and stabilization of time-delay systems: an eigenvalue-based approach
W Michiels, SI Niculescu - 2007 - SIAM
The interconnection between two (or more) physical systems is always accompanied by
transfer phenomena (material, energy, information), such as transport and propagation …
transfer phenomena (material, energy, information), such as transport and propagation …
Nonsmooth optimization via quasi-Newton methods
AS Lewis, ML Overton - Mathematical Programming, 2013 - Springer
We investigate the behavior of quasi-Newton algorithms applied to minimize a nonsmooth
function f, not necessarily convex. We introduce an inexact line search that generates a …
function f, not necessarily convex. We introduce an inexact line search that generates a …
[图书][B] Interpolatory methods for model reduction
Dynamical systems are at the core of computational models for a wide range of complex
phenomena and, as a consequence, the simulation of dynamical systems has become a …
phenomena and, as a consequence, the simulation of dynamical systems has become a …
Parametric robust structured control design
We present a new approach to parametric robust controller design, where we compute
controllers of arbitrary order and structure which minimize the worst-case norm over a pre …
controllers of arbitrary order and structure which minimize the worst-case norm over a pre …
A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles
We propose an algorithm for solving nonsmooth, nonconvex, constrained optimization
problems as well as a new set of visualization tools for comparing the performance of …
problems as well as a new set of visualization tools for comparing the performance of …
A data-driven approach to robust control of multivariable systems by convex optimization
The frequency-domain data of a multivariable system in different operating points is used to
design a robust controller with respect to the measurement noise and multimodel …
design a robust controller with respect to the measurement noise and multimodel …
Multiobjective robust control with HIFOO 2.0
S Gumussoy, D Henrion, M Millstone… - IFAC Proceedings …, 2009 - Elsevier
Multiobjective control design is known to be a difficult problem both in theory and practice.
Our approach is to search for locally optimal solutions of a nonsmooth optimization problem …
Our approach is to search for locally optimal solutions of a nonsmooth optimization problem …