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 …

Network systems consist of subsystems and their interconnections and provide a powerful
framework for the analysis, modeling, and control of complex systems. However, subsystems …

Many contemporary signal processing, machine learning and wireless communication
applications can be formulated as nonconvex nonsmooth optimization problems. Often there …

This paper studies the static output feedback (SOF) control problem of continuous-time
linear systems with polytopic uncertainties. Novel LMI conditions with a line search over a …

Functional constrained optimization is becoming more and more important in machine
learning and operations research. Such problems have potential applications in risk-averse …

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 …

In this article, the power fluctuation problem caused by adding renewable energy sources to
microgrids (MGs) is addressed. These power fluctuations which can cause several adverse …

In this paper, an observer-based H∞ sampled-data fuzzy control problem is addressed for a
class of nonlinear parabolic partial differential equation (PDE) systems. With the aid of the …

This paper addresses the weighted sensitivity design of multivariable proportional–integral–
derivative (PID) controllers for multi-input multi-output (MIMO) processes. First, the PID …

We provide an overview of a class of iterative convex approximation methods for nonlinear
optimization problems with convex-over-nonlinear substructure. These problems are …