Conic optimization has recently emerged as a powerful tool for designing tractable and
guaranteed algorithms for power system operation. On the one hand, tractability is crucial …

Future wireless communication systems are expected to explore spectral bands typically
used by radar systems, in order to overcome spectrum congestion of traditional …

This monograph covers some recent advances in a range of acceleration techniques
frequently used in convex optimization. We first use quadratic optimization problems to …

We propose a pivotal method for estimating high-dimensional sparse linear regression
models, where the overall number of regressors p is large, possibly much larger than n, but …

In this paper, the highly nonlinear planetary-entry optimal control problem is formulated as a
sequence of convex problems to facilitate rapid solution. The nonconvex control constraint is …

This paper presents a novel convex modeling approach which allows for a simultaneous
optimization of battery size and energy management of a plug-in hybrid powertrain by …

Over the last years, two new technologies to solve optimal-control problems were
successfully developed: that is, pseudospectral optimal control and convex optimization …

In this paper, we develop a novel robust optimization approach to source localization using
time-difference-of-arrival (TDOA) measurements that are collected under non-line-of-sight …

Accurate localization is critical to facilitate location services for Internet of Things (IoT). It is
particular challenging to provision localization based on nonline-of-sight (NLOS) signals …

High-order repetitive control has previously been introduced to either improve the
robustness for period-time uncertainty or reduce the sensitivity for non-periodic inputs of …