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Within wind farms, wake effects between turbines can significantly reduce overall energy production. Wind farm flow control encompasses methods designed to mitigate these effects through coordinated turbine control. Wake steering, for…

Machine Learning · Computer Science 2025-08-26 Elie Kadoche , Pascal Bianchi , Florence Carton , Philippe Ciblat , Damien Ernst

We address the problem of local flux redistribution in networked systems. The aim is to detect a suitable cluster which is able to locally adsorb a disturbance by means of an appropriate redistribution of control load among its nodes, such…

Systems and Control · Electrical Eng. & Systems 2020-04-22 Andrea Martinelli , John Lygeros

In the last decades, various events have shown that electromechanical oscillations are a major concern for large interconnected Alternating Current (AC) power systems. Segmentation of AC power systems with High Voltage Direct Current (HVDC)…

This paper focuses on designing completely decentralized load frequency control (LFC) for multi-area power systems to achieve global optimized performance. To this end, a new concept of integrated design is introduced for designing the…

Systems and Control · Electrical Eng. & Systems 2024-09-17 Xianxian Zhao , Jianglin Lan

A consensus-control-based multi-level control law named Multi-Level Power-Imbalance Allocation Control (MLPIAC) is presented for a large-scale power system partitioned into two or more areas. Centralized control is implemented in each area…

Systems and Control · Computer Science 2018-06-15 Kaihua Xi , Hai Xiang Lin , Chen Shen , Jan H. van Schuppen

This paper presents a distributed frequency control method for power grids with high penetration of inverter-connected resources under low and time-varying inertia due to renewable energy (RE). We provide a distributed virtual inertia (VI)…

Systems and Control · Electrical Eng. & Systems 2022-09-20 Manasa Muralidharan , Jan Kleissl , Patricia Hidalgo-Gonzalez

A disturbance-aware predictive control policy is proposed for DC-AC power inverters with the receding horizon optimization approach. First, a discrete event-driven hybrid automaton model has been constructed for the nonlinear inverter…

Systems and Control · Electrical Eng. & Systems 2020-12-23 Zhengxi Chen , Xun Shen

Multicasting in wireless systems is a natural way to exploit the redundancy in user requests in a Content Centric Network. Power control and optimal scheduling can significantly improve the wireless multicast network's performance under…

Networking and Internet Architecture · Computer Science 2021-12-08 Ramkumar Raghu , Mahadesh Panju , Vaneet Aggarwal , Vinod Sharma

This paper proposes an integrated sensing and communication (ISAC) system covert waveform design method for complex clutter environments, with the core objective of maximizing the signal-to-clutter-plus-noise ratio (SCNR). The design…

Signal Processing · Electrical Eng. & Systems 2025-11-25 Xuyang Zhao , Jiangtao Wang , Xinyu Zhang , Yongchao Wang

To address the control challenges associated with the increasing share of inverter-connected renewable energy resources, this paper proposes a direct data-driven approach for fast frequency control in the bulk power system. The proposed…

Systems and Control · Electrical Eng. & Systems 2023-04-12 Etinosa Ekomwenrenren , John W. Simpson-Porco , Evangelos Farantatos , Mahendra Patel , Aboutaleb Haddadi , Lin Zhu

This letter investigates joint power control and user clustering for downlink non-orthogonal multiple access systems. Our aim is to minimize the total power consumption by taking into account not only the conventional transmission power but…

Information Theory · Computer Science 2018-05-09 Zhaohui Yang , Cunhua Pan , Wei Xu , Ming Chen

Microgrids are increasingly recognized as a key technology for the integration of distributed energy resources into the power network, allowing local clusters of load and distributed energy resources to operate autonomously. However,…

Optimization and Control · Mathematics 2021-06-22 Jeremy Watson , Yemi Ojo , Khaled Laib , Ioannis Lestas

In this chapter we review the main literature related to kernel spectral clustering (KSC), an approach to clustering cast within a kernel-based optimization setting. KSC represents a least-squares support vector machine based formulation of…

Machine Learning · Computer Science 2015-05-05 Rocco Langone , Raghvendra Mall , Carlos Alzate , Johan A. K. Suykens

This work develops a novel power control framework for energy-efficient power control in wireless networks. The proposed method is a new branch-and-bound procedure based on problem-specific bounds for energy-efficiency maximization that…

Information Theory · Computer Science 2020-07-13 Bho Matthiesen , Alessio Zappone , Karl-L. Besser , Eduard A. Jorswieck , Merouane Debbah

We present a mixed analog-digital spectrum sensing method that is especially suited to the typical wideband setting of cognitive radio (CR). The advantages of our system with respect to current architectures are threefold. First, our analog…

Hardware Architecture · Computer Science 2010-09-08 Moshe Mishali , Yonina C. Eldar

Existing approaches to diffusion-based inverse problem solvers frame the signal recovery task as a probabilistic sampling episode, where the solution is drawn from the desired posterior distribution. This framework suffers from several…

Machine Learning · Computer Science 2024-12-24 Henry Li , Marcus Pereira

We consider a multicast scheme recently proposed for a wireless downlink in [1]. It was shown earlier that power control can significantly improve its performance. However for this system, obtaining optimal power control is intractable…

Networking and Internet Architecture · Computer Science 2019-10-25 Ramkumar Raghu , Pratheek Upadhyaya , Mahadesh Panju , Vaneet Aggarwal , Vinod Sharma

A modulated wideband converter (MWC) has been introduced as a sub-Nyquist sampler that exploits a set of fast alternating pseudo random (PR) signals. Through parallel sampling branches, an MWC compresses a multiband spectrum by mixing it…

Signal Processing · Electrical Eng. & Systems 2018-10-08 Jehyuk Jang , Sanghun Im , Heung-No Lee

In this paper, we propose a deep unfolding-based framework for the output feedback control of systems with input saturation. Although saturation commonly arises in several practical control systems, there is still a scarce of effective…

Systems and Control · Electrical Eng. & Systems 2021-01-28 Koki Kobayashi , Masaki Ogura , Taisuke Kobayashi , Kenji Sugimoto

Advanced satellite-born remote sensing instruments produce high-resolution multi-spectral data for much of the globe at a daily cadence. These datasets open up the possibility of improved understanding of cloud dynamics and feedback, which…

Computer Vision and Pattern Recognition · Computer Science 2021-10-29 Takuya Kurihana , Elisabeth Moyer , Rebecca Willett , Davis Gilton , Ian Foster