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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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October 2025
Latest News
DOE’s latest fusion energy road map aims to bridge known gaps
The Department of Energy introduced a Fusion Science & Technology (S&T) Roadmap on October 16 as a national “Build–Innovate–Grow” strategy to develop and commercialize fusion energy by the mid-2030s by aligning public investment and private innovation. Hailed by Darío Gil, the DOE’s new undersecretary for science, as bringing “unprecedented coordination across America's fusion enterprise” and advancing President Trump’s January 2025 executive order, on “Unleashing American Energy,” the road map echoes plans issued by the DOE’s Office of Fusion Energy Sciences (FES) in 2023 and 2024, with a new emphasis on the convergence of AI and fusion.
The road map release coincided with other fusion energy events held this week in Washington, D.C., and beyond.
Hassan M. Emara, Adel A. Hanafy, Magdy M. Zaky Abdelaal, Sayed Elaraby
Nuclear Science and Engineering | Volume 174 | Number 1 | May 2013 | Pages 87-95
Technical Paper | doi.org/10.13182/NSE12-8
Articles are hosted by Taylor and Francis Online.
Several analytical model reduction techniques have been proposed in the literature over the past few decades. We introduce the application of the Schur model reduction method to design a reduced-order, robust controller for the Egyptian Second Testing Research Reactor (ETRR-2). The linear matrix inequality approach is used to design a robust, low-order H state feedback control system and a robust H observer-based controller to control the reactor power. A comparison between the proposed controllers and the actually used conventional proportional-plus-derivative controller is presented based on the simulation of the full-order nonlinear model. Results show the effectiveness of H observer-based state feedback for control of the reactor power at different operation conditions and that it guarantees the system stability.