The Optimizer proposed in this paper addresses the problem of running a gas turbine optimally to maximize the operational profit of a power utility subject to fluctuating energy prices and changing operating conditions. The proposed optimization scheme determines the optimal load profile of a gas turbine that maximizes the operational profit generated from sale of electricity subject to fuel co...

The random array subset selection (RASS) jammer, which randomly selects a out of the transmit antenna from time to time, was verified effectively counter against multistatic radar system (MSRS). However, countermeasure ability RASS is restricted, because probabilities activating elements for transmission are constrained be identical. To further enhance ability, we propose resource allocation di...

The reconstruction from sparse-view projections is one of important problems in computed tomography (CT) limited by the availability or feasibility of obtaining of a large number of projections. Traditionally, convex regularizers have been exploited to improve the reconstruction quality in sparse-view CT, and the convex constraint in those problems leads to an easy optimization process. However...

Large-scale constrained convex optimization problems arise in several application 4 domains. First-order methods are good candidates to tackle such problems due to their low iteration 5 complexity and memory requirement. The level-set framework extends the applicability of first-order 6 methods to tackle problems with complicated convex objectives and constraint sets. Current methods 7 based on...

This paper considers power splitting (PS)-based simultaneous wireless information and power transfer (SWIPT) for multiple-input multiple-output (MIMO) interference channel networks where multiple transceiver pairs share the same frequency spectrum. As the PS model is adopted, an individual receiver splits the received signal into two parts for information decoding (ID) and energy harvesting (EH...

In this paper we use optimization-based methods to design output-feedback controllers for a class of one-dimensional parabolic partial differential equations. The output may be distributed or pointmeasurements. The input may be distributed or boundary actuation. We use Lyapunov operators, duality, and the Luenberger observer framework to reformulate the synthesis problem as a convex optimizatio...