As a paradigm to recover unknown entries of a matrix from partial observations, low-rank
matrix completion (LRMC) has generated a great deal of interest. Over the years, there have …

Thank you for opening the third edition of this monograph, dedicated to dissipative linear or
nonlinear, autonomous or time-varying, smooth or nonsmooth, single-valued or set-valued …

We provide a novel computer-assisted technique for systematically analyzing first-order
methods for optimization. In contrast with previous works, the approach is particularly suited …

In this technical note, we investigate a solution of the matrix differential Riccati equation that
plays an important role in the linear quadratic optimal control problem. Unlike many methods …

In this paper, we consider a legitimate proactive eavesdropping scenario where a distant
central monitor covertly wiretaps the communication between a pair of suspicious users via …

A robust algorithm for the extraction of reduced-order behavioral models from sampled
frequency responses is proposed. The system under investigation can be any Linear and …

In this paper, we consider robust stability analysis of large-scale sparsely interconnected
uncertain systems. By modeling the interconnections among the subsystems with integral …

We prove that every semidefinite moment relaxation of a polynomial optimization problem
(POP) with a ball constraint can be reformulated as a semidefinite program involving a …

We present a new semidefinite programming formulation of sum-of-squares representations
of nonnegative polynomials, cosine polynomials, and trigonometric polynomials of one …

Estimation of nonlinear dynamic models from data poses many challenges, including model
instability and nonconvexity of long-term simulation fidelity. Recently Lagrangian relaxation …