Xinyu Yu¹, Lucheng Chen^2,3, Xingzhi Feng^2,4, Xiaoping Lu^2,4,*, Yuye Yang¹, You Shi^5,*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3231-3252, 2025, DOI:10.32604/cmc.2025.066975 - 23 September 2025

Abstract This paper investigates mobility-aware online optimization for digital twin (DT)-assisted task execution in edge computing environments. In such systems, DTs, hosted on edge servers (ESs), require proactive migration to maintain proximity to their mobile physical twin (PT) counterparts. To minimize task response latency under a stringent energy consumption constraint, we jointly optimize three key components: the status data uploading frequency from the PT, the DT migration decisions, and the allocation of computational and communication resources. To address the asynchronous nature of these decisions, we propose a novel two-timescale mobility-aware online optimization (TMO) framework. The TMO… More >

Min Liu¹, Qiliang Wu¹, Zhixin Li², Bo Zhao¹, Leiqi Zhang¹, Junhui Li², Xingxu Zhu^2,*

Energy Engineering, Vol.122, No.4, pp. 1403-1424, 2025, DOI:10.32604/ee.2025.060256 - 31 March 2025

Abstract To address the issue of coordinated control of multiple hydrogen and battery storage units to suppress the grid-injected power deviation of wind farms, an online optimization strategy for Battery-hydrogen hybrid energy storage systems based on measurement feedback is proposed. First, considering the high charge/discharge losses of hydrogen storage and the low energy density of battery storage, an operational optimization objective is established to enable adaptive energy adjustment in the Battery-hydrogen hybrid energy storage system. Next, an online optimization model minimizing the operational cost of the hybrid system is constructed to suppress grid-injected power deviations with… More >

Qiming Zou¹, Ling Wang^{1, *}, Jie Liu¹, Yingtao Jiang²

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 631-639, 2020, DOI:10.32604/iasc.2020.012549

Abstract The real-time requirements imposed on a feedback control system are often hard to be met, as the controller spends a disproportionately large amount of time waiting for a control cycle to reach its final state. When such a final state is established, multiple tasks have to be prioritized and launched altogether simultaneously, and the system is given an extremely short time window to generate its output. This huge gap between the wait and action times, perceived as a load unbalancing problem, hinders a control decision to be made in real time. To address this challenging… More >