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Reinforcement Learning for Dynamic Event-Driven Control of Multi-Machine Power Systems 多机电力系统动态事件驱动控制的强化学习
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-19 DOI: 10.1109/TCSII.2025.3600432
Xiong Yang;Ding Wang
This brief investigates a decentralized event-driven control (EDC) problem of multi-machine power systems having asymmetric constraints imposed on inputs. Initially, the decentralized input-constrained EDC problem is transformed into a set of input-unconstrained optimal EDC subproblems by introducing enhanced cost functions for nominal subsystems. Then, with the construction of dynamic event-triggering mechanisms, the event-driven Hamilton-Jacobi-Bellman equations (ED-HJBEs) are derived for these subproblems. To approximately solve these ED-HJBEs, only critic neural networks are utilized in the reinforcement learning framework, and their weights are updated via the gradient descent approach. After that, based on Lyapunov method, uniform ultimate boundedness of the closed-loop multi-machine power systems is established. Finally, simulations are conducted on a two-machine power system to validate the developed decentralized EDC policy.
本文研究了具有非对称输入约束的多机电力系统的分散式事件驱动控制(EDC)问题。首先,通过对标称子系统引入增强的代价函数,将分散的有输入约束的EDC问题转化为一组无输入约束的最优EDC子问题。然后,通过构建动态事件触发机制,导出了这些子问题的事件驱动Hamilton-Jacobi-Bellman方程(ED-HJBEs)。为了近似求解这些ED-HJBEs,在强化学习框架中只使用批评神经网络,并通过梯度下降法更新其权值。然后,基于Lyapunov方法,建立了闭环多机电力系统的一致极限有界性。最后,在一个双机电力系统上进行了仿真,验证了所提出的分散EDC策略。
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引用次数: 0
Optimized Power Decoupling Control for Grid-Forming Converter Under Different R/X Ratios of Grid Impedance 不同栅极阻抗R/X比下成网变换器功率解耦优化控制
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-18 DOI: 10.1109/TCSII.2025.3599886
Donghai Zhu;Xiangjinwen Li;Shiying Zhou;Xuejiao Zhong;Xudong Zou;Yong Kang
In this brief, the power decoupling mechanism of grid-forming converter is analyzed, which indicates that the suitable voltage compensation is crucial for decoupling. Then, an optimized power decoupling control is proposed, which can provide positive or negative voltage compensation for decoupling, resulting in efficient power decoupling under different R/X ratios of grid impedance.
本文分析了成网变换器的功率解耦机理,指出合适的电压补偿是解耦的关键。然后,提出了一种优化的功率解耦控制,该控制可以对解耦进行正电压或负电压补偿,从而在不同的电网阻抗R/X比下实现有效的功率解耦。
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引用次数: 0
A State-Switching Digital LDO for PWM Thermo-Optic Tuning in Silicon Photonics 一种用于硅光子学中PWM热光调谐的状态切换数字LDO
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-14 DOI: 10.1109/TCSII.2025.3598759
Ziying Xie;Tianchi Ye;Ziyue Dang;Xi Xiao;Min Tan
Pulse-width-modulated (PWM) thermo-optic tuning in silicon photonics calls for a power supply featuring high-speed PWM power output with short settling time, high efficiency, and a compact size. However, the transient response of the traditional digital low-dropout regulators (DLDOs) is limited by the closed-loop response, which makes it difficult to meet the speed requirements of the PWM power output. This brief presents a State-Switching DLDO (SS-DLDO), specially optimized for PWM thermo-optic tuning. Two state selectors, controlled by a PWM signal, are inserted into the SS-DLDO structure to control the connections and operational states of the DLDO asynchronously. This enables the speed of PWM tuning to be decoupled from the feedback loop of the DLDO. The proposed design is fabricated in a 65nm CMOS process with an active area of 0.00634 mm2. Measurement results show that the rising-edge settling time and falling-edge settling time of the PWM power output are 16.3 ns and 14 ns, respectively, which effectively reduces the limit of the edge settling time to the achievable PWM duty cycle range. Under a 2 MHz PWM frequency, this design can achieve PWM duty cycles ranging from 5.92% to 97.2%, corresponding to output power ranging from 1.47 mW to 24.12 mW.
硅光子学中的脉宽调制(PWM)热光调谐需要一种具有高速PWM功率输出、稳定时间短、效率高、体积小的电源。然而,传统数字低压差稳压器(dldo)的瞬态响应受到闭环响应的限制,难以满足PWM功率输出的速度要求。本文介绍了一种状态切换DLDO (SS-DLDO),专门针对PWM热光调谐进行了优化。在SS-DLDO结构中插入两个由PWM信号控制的状态选择器,以异步控制DLDO的连接和工作状态。这使得PWM调谐的速度与DLDO的反馈回路解耦。该设计采用65nm CMOS工艺,有效面积为0.00634 mm2。测量结果表明,PWM功率输出的上升沿稳定时间和下降沿稳定时间分别为16.3 ns和14 ns,有效地降低了边缘稳定时间对PWM占空比范围的限制。在2 MHz的PWM频率下,本设计可以实现5.92% ~ 97.2%的PWM占空比,对应的输出功率范围为1.47 mW ~ 24.12 mW。
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引用次数: 0
Hierarchical Fusion Estimation With Feedback for Clustered Sensor Networks Subject to Leader and Subordinate Sensors 基于主从传感器的聚类传感器网络层次反馈融合估计
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-12 DOI: 10.1109/TCSII.2025.3598216
Xinyue Cao;Ling Zhao;Yuanqing Xia;Hongjiu Yang
In this brief, hierarchical fusion estimation with feedback is researched in clustered sensor networks with leader and subordinate sensors. A local estimator is designed to obtain local estimates using feedback fusion estimates in each sensor. A two-layer fusion estimator is developed to achieve fusion estimates for improving estimation accuracy in each leader sensor. The first layer fusion estimator is proposed combining local estimates within the same cluster based on both current and past local estimation accuracy under inaccurate noise covariance matrices. The second layer fusion estimator is designed by fusing the first layer fusion estimates from all leader sensors. Validity of the hierarchical fusion estimation with feedback is shown based on a maneuvering target tracking system.
本文研究了具有主从传感器的聚类传感器网络中带反馈的分层融合估计。设计了一个局部估计器,利用每个传感器的反馈融合估计获得局部估计。为了提高每个前导传感器的估计精度,提出了一种双层融合估计器来实现融合估计。在不准确噪声协方差矩阵下,基于当前和过去的局部估计精度,提出了一种结合同一簇内局部估计的第一层融合估计器。第二层融合估计器是通过融合第一层所有前导传感器的融合估计而设计的。以某机动目标跟踪系统为例,验证了带反馈的分层融合估计的有效性。
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引用次数: 0
Multi-Objective H∞/r-Stability Optimal Interval Estimation for Linear Discrete-Time Systems and Application to DC Servo Motor 线性离散系统的多目标H∞/r-稳定性最优区间估计及其在直流伺服电机中的应用
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-08 DOI: 10.1109/TCSII.2025.3597263
Wei Xie;Toshio Eisaka
The main goal of this brief is to present a methodology to design multi-objective $mathrm{H}_{infty } $ /r -stability interval estimation for linear discrete-time systems affected by bounded, but unknown disturbances. Compared with $mathrm{H}_{infty } $ norm criterion that is used to reject the influence of external disturbances on the output under the worst scenario, multi-objective $mathrm{H}_{infty } $ /r-stability interval observer takes pole-placement into account, the poles of the system matrix of the observes are configured as close as possible to the origin. This is to ensure not only a relatively fast convergence characteristic but also the minimum interval width. Finally, an illustrative example of a DC servo motor highlights the performance of our methodology.
本文的主要目标是提出一种方法来设计多目标$mathrm{H}_{infty } $ /r -稳定区间估计,用于受有界但未知干扰影响的线性离散系统。与在最坏情况下用于抑制外部干扰对输出影响的$mathrm{H}_{infty } $范数准则相比,多目标$mathrm{H}_{infty } $ /r-稳定区间观测器考虑了极点的配置,观测器的系统矩阵极点配置尽可能靠近原点。这不仅保证了较快的收敛特性,而且保证了最小的区间宽度。最后,一个直流伺服电机的示例突出了我们的方法的性能。
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引用次数: 0
A Cryo-CMOS Triple Tail Comparator With Capacitive Over-Neutralization to Suppress Freeze-Out Induced Hysteresis 一种电容性过中和抑制冻结诱发迟滞的低温cmos三尾比较器
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-07 DOI: 10.1109/TCSII.2025.3596708
Bram Veraverbeke;Filip Tavernier
Dopant freeze-out severely increases the bulk resistance of cryogenic bulk CMOS transistors by up to $10{^{{6}}} {times }$ at 4.2K compared to room temperature. This brief describes, for the first time in the literature, how this increased bulk resistance introduces a memory effect in the latch of dynamic comparators, which leads to hysteresis. To measure this hysteresis reliably in the presence of noise, a statistical characterization procedure is developed. For a 40nm bulk CMOS strongARM comparator with an input-referred noise voltage of 348 $mu $ VRMS, a hysteresis voltage >898 $mu $ V is measured at 6K, substantially deteriorating the precision. Therefore, this brief introduces a triple tail comparator with capacitive over-neutralization to increase the preamplification gain, suppressing the hysteresis > $6{times }$ to only 141 $mu $ V.
与室温相比,在4.2K时,掺杂剂冻结严重增加了低温体CMOS晶体管的体电阻,高达10{^{{6}}}{times}$。本文首次在文献中描述了这种增加的体电阻如何在动态比较器的锁存器中引入记忆效应,从而导致滞后。为了在存在噪声的情况下可靠地测量这种迟滞,开发了一种统计表征程序。对于输入参考噪声电压为348 $mu $ VRMS的40nm块体CMOS强arm比较器,在6K时测量到的滞后电压为bb0 $ 898 $mu $ V,大大降低了精度。因此,本文简要介绍了一种具有电容过中和的三尾比较器,以增加预放大增益,将迟滞> $6{times}$抑制到仅141 $mu $ V。
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引用次数: 0
An Integrated Configurable FMCW Radar Baseband SoC in 40-nm CMOS 集成可配置FMCW雷达基带SoC在40nm CMOS
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-07 DOI: 10.1109/TCSII.2025.3596605
Peng Zhang;Bo Wang;Ning Zhang;Pengfei Diao;Qisong Wu;Dixian Zhao
This brief introduces an integrated configurable frequency-modulated continuous wave (FMCW) radar baseband SoC, which integrates a baseband accelerator in 40-nm CMOS technology. This brief exhibits notable advantages in terms of miniaturization, configurability, and real-time performance. To enhance the real-time performance of baseband signal processing, the baseband accelerator employs a pipeline architecture that incorporates specifically designed parallel computation structures for each submodule. Furthermore, this design enables the accelerator to support diverse application scenarios by offering configurable dimensions for fast Fourier transform (FFT), constant false alarm rate (CFAR), and digital beamforming (DBF), along with adjustable parameters for time-frequency domain processing. Board-level testing results indicate that the chip can accurately distinguish targets with varying distances, speeds, and angles. Operating at a system clock frequency of 200 MHz, the processor achieves a frame processing time of 2.79 ms and a power consumption of 492 mW, under the maximum CFAR window configuration and 256 targets.
本文介绍了一种集成可配置的调频连续波(FMCW)雷达基带SoC,它集成了一个40纳米CMOS技术的基带加速器。这个概要在小型化、可配置性和实时性能方面展示了显著的优势。为了提高基带信号处理的实时性,基带加速器采用流水线架构,为每个子模块集成了专门设计的并行计算结构。此外,该设计通过为快速傅立叶变换(FFT)、恒定虚警率(CFAR)和数字波束成形(DBF)提供可配置的尺寸,以及可调的时频域处理参数,使加速器能够支持各种应用场景。板级测试结果表明,该芯片能够准确识别不同距离、速度和角度的目标。在最大CFAR窗口配置和256个目标下,该处理器在200 MHz的系统时钟频率下实现了2.79 ms的帧处理时间和492 mW的功耗。
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引用次数: 0
Adaptation Approaches for PAMN Contingent Decision Equalizers PAMN偶然决策均衡器的自适应方法
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-07 DOI: 10.1109/TCSII.2025.3596834
Ahmed Abdelaziz;Yuang Cao;Tawfiq Musah
This brief explores the coefficient adaptation approaches for the recently presented contingent decision equalizer (CDE) for pulse amplitude modulation (PAM) signaling. A real-time realization of zero forcing (ZF) adaptation is first developed. Then, two minimum mean square error (MMSE) coefficient adaptation approaches that take advantage of the hybrid operation and modular architecture of the CDE are derived. The performance of the ZF adaptation architecture and the global and distributed least mean squares (LMS) realizations of the MMSE solutions targeted to the CDE architecture are evaluated analytically and using behavioral modeling. The computational and area overhead of the proposed solutions are discussed. The convergence of the ZF and modified LMS implementations is simulated for various channel and equalizer types with PAM4 signaling. The results show superior equalization for the CDE. The results also show faster convergence for the global LMS over ZF adaptation and a higher voltage margin for the global LMS with well-behaved channels.
本文简要探讨了最近提出的用于脉冲幅度调制(PAM)信号的偶然决策均衡器(CDE)的系数自适应方法。提出了零强迫自适应的实时实现方法。然后,利用CDE的混合运算和模块化结构,推导了两种最小均方误差(MMSE)系数自适应方法。利用行为建模对ZF自适应体系结构的性能以及针对CDE体系结构的MMSE解决方案的全局和分布式最小均方(LMS)实现进行了分析评估。讨论了所提出的解决方案的计算开销和面积开销。ZF和改进的LMS实现的收敛模拟了各种信道和均衡器类型与PAM4信令。结果表明,CDE具有良好的均衡性。结果还表明,采用ZF自适应的全局LMS收敛速度更快,具有良好通道的全局LMS具有更高的电压裕度。
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引用次数: 0
Fault Tolerant Control of Switched Affine Systems With Application to Boost Converter: The Transition-Dependent Bumpless Transfer Approach 应用于升压变换器的切换仿射系统容错控制:过渡相关的无颠簸传输方法
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-07 DOI: 10.1109/TCSII.2025.3596833
Fang Liao;Yanzheng Zhu;Rongni Yang;Jian Zhang;Donghua Zhou
The ${mathcal {L}}_{infty }$ bumpless transfer fault-tolerant control problem is addressed for continuous-time switched affine systems with actuator faults and bounded disturbances. A novel piecewise transition-dependent fault-tolerant controller is designed, by enforcing the specified bumps limitation constraints, sufficient conditions for the existence of the fault-tolerant controller are derived satisfying a new average dwell time constraint, which guarantees the practical stability of the closed-loop system and the bumpless transfer as switching and faults occur. Finally, both practicability and validity of the developed methods are illustrated through a case study of DC-DC boost converter.
研究了具有执行器故障和有界扰动的连续时间切换仿射系统的${mathcal {L}}_{infty }$无碰撞传递容错控制问题。设计了一种新的分段过渡相关容错控制器,通过施加指定的凸点限制约束,得到了满足新的平均停留时间约束的容错控制器存在的充分条件,保证了闭环系统的实际稳定性和发生切换和故障时的无凸点转移。最后,以直流-直流升压变换器为例,验证了所提方法的实用性和有效性。
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引用次数: 0
BETA: A Bit-Grained Transformer Attention Accelerator With Efficient Early Termination BETA:具有有效早期终止的位粒度变压器注意力加速器
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-06 DOI: 10.1109/TCSII.2025.3596228
Huizheng Wang;Hongbin Wang;Zhiheng Yue;Jingyao Liu;Taiquan Wei;Shaojun Wei;Yang Hu;Shouyi Yin
Attention-based large language models (LLMs) have revolutionized the natural language processing (NLP). Despite their impressive effectiveness, the quadratic complexity of self-attention incurs heavy computational and memory burdens. Dynamic sparse attention techniques emerge as a solution, however, the introduced extra prediction stage, coupled with costly data memory access, diminishes their hardware efficiency. To address these limitations, this brief proposes BETA, a fine-grained algorithm-architecture co-design tailored for sparse attention. First, a bit-grained multi-round filter (BMF) prediction is proposed to unveil and eliminate redundant memory access hidden in the sparsity prediction stage. Second, an adaptive and lightweight max-based threshold selection (MTS) strategy is developed to work in concert with the bit-wise prediction process. Third, a bit-wise out-of-order execution (BOOE) scheme is employed to enhance hardware utilization during bit-wise prediction. Finally, an elaborate architecture is designed to translate the theoretical complexity reduction into practical performance improvement. Implementation results demonstrate that BETA achieves $5.4times $ , $6.5times $ , $1.8times $ improvements in energy efficiency than the state-of-the-art Transformer accelerators Sanger, Spatten and SOFA, respectively, while maintaining comparable inference accuracy.
基于注意力的大型语言模型(llm)已经彻底改变了自然语言处理(NLP)。尽管它们的有效性令人印象深刻,但自我关注的二次复杂度会带来沉重的计算和内存负担。动态稀疏注意力技术作为一种解决方案出现了,然而,引入了额外的预测阶段,加上昂贵的数据内存访问,降低了它们的硬件效率。为了解决这些限制,本文提出了BETA,这是一种为稀疏注意力量身定制的细粒度算法架构协同设计。首先,提出了一种位粒度的多轮滤波器(BMF)预测,以揭示和消除隐藏在稀疏性预测阶段的冗余内存访问。其次,开发了一种自适应和轻量级的基于最大值的阈值选择(MTS)策略,以配合逐位预测过程。第三,采用逐位乱序执行(BOOE)方案来提高逐位预测过程中的硬件利用率。最后,设计了一个复杂的体系结构,将理论上的复杂性降低转化为实际性能的提高。实施结果表明,BETA在能源效率方面分别比最先进的Transformer加速器Sanger、Spatten和SOFA提高了5.4倍、6.5倍和1.8倍,同时保持了相当的推理精度。
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引用次数: 0
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IEEE Transactions on Circuits and Systems II: Express Briefs
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