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A Valuable and Low-Budget Process Scheme of Equivalized 1 nm Technology Node Based on 2D Materials

Nano-Micro Letters 2025年第8期17卷 294-305页

作者： Yang Shen Zhejia Zhang Zhujun Yao Mengge Jin Jintian Gao Yuhan Zhao Wenzhong Bao Yabin Sun He Tian College of Integrated Circuit Science and Engineering Shanghai Key Laboratory of Multidimensional Information ProcessingEast China Normal UniversityShanghai 200241People’s Republic of China Institute of Microelectronics and Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing 100084People’s Republic of China State Key Laboratory of ASIC and System School of MicroelectronicsFudan UniversityShanghai 200433People’s Republic of China Shaoxin Laboratory Shaoxing 312000People’s Republic of China

Emerging two-dimensional(2D)semiconductors are among the most promising materials for ultra-scaled transistors due to their intrinsic atomic-level *** the stacking process advances,the complexity and cost of nanosheet field-effect transistors(NSFETs)and complementary FET(CFET)continue to *** 1 nm technology node is going to be based on Si-CFET process according to international roadmap for devices and systems(IRDS)(2022,https://***/),but not publicly confirmed,indicating that more possibilities still *** miniaturization advantage of 2D semiconductors motivates us to explore their potential for reducing process costs while matching the performance of next-generation nodes in terms of area,power consumption and *** this study,a comprehensive framework is built.A set of MoS2 NSFETs were designed and fabricated to extract the key parameters and *** then for benchmarking,the sizes of 2D-NSFET are scaled to a extent that both of the Si-CFET and 2D-NSFET have the same average device *** these conditions,the frequency of ultra-scaled 2D-NSFET is found to improve by 36%at a fixed power *** work verifies the feasibility of replacing silicon-based CFETs of 1 nm node with 2D-NSFETs and proposes a 2D technology solution for 1 nm nodes,i.e.,“2D eq 1 nm”*** the same time,thanks to the lower characteristic length of 2D semiconductors,the miniaturized 2D-NSFET achieves a 28%frequency increase at a fixed power ***,developing a standard cell library,these devices obtain a similar trend in 16-bit RISC-V *** work quantifies and highlights the advantages of 2D semiconductors in advanced nodes,offering new possibilities for the application of 2D semiconductors in high-speed and low-power integrated circuits.

关键词： Two-dimensional semiconductors 1 nm technology node Nanosheet field-effect transistors Complementary field-effect transistors Horizontal scaling

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Passive Sources Localization based on Constellation Signal 9

Passive Sources Localization based on Constellation Signal

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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Gong, Qishu Han, Jian Liu, Yan Beijing Institute of Control and Electronic Technology Key Laboratory of Information System and Technology Beijing China

ISBN: (纸本)9798350330076

Constellation satellites are important space-based devices with wider irradiation range and less blind coverage. Passive target detection with the space-based constellation satellites as radiation source will play an increasingly important role for situational awareness. This paper analyzes signal model for the passive radar and the characteristics of the passive detection system with the satellite as radiation source. Then, to improve detection accuracy with weak signal and low signal-to-noise ratio, a few algorithms are presented from the perspective of increasing the available virtual sensors, i.e., degrees of freedom. Finally, theoretical analysis confirms the high detection accuracy and low hardware cost of the above algorithms compared to the traditional algorithms. The above performance superiority ensures accurate situational awareness, thus effectively supporting precise and efficient mission planning and command. © 2023 IEEE.

关键词： Degrees of freedom (mechanics)

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Distributed MPC for Reconfigurable Architecture systems via Alternating Direction Method of Multipliers

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IEEE/CAA Journal of Automatica Sinica 2021年第7期8卷 1336-1344页

作者： Ting Bai Shaoyuan Li Yuanyuan Zou the Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China

This paper investigates the distributed model predictive control(MPC)problem of linear systems where the network topology is changeable by the way of inserting new subsystems,disconnecting existing subsystems,or merely modifying the couplings between different *** equip live systems with a quick response ability when modifying network topology,while keeping a satisfactory dynamic performance,a novel reconfiguration control scheme based on the alternating direction method of multipliers(ADMM)is *** this scheme,the local controllers directly influenced by the structure realignment are redesigned in the reconfiguration ***,by employing the powerful ADMM algorithm,the iterative formulas for solving the reconfigured optimization problem are obtained,which significantly accelerate the computation speed and ensure a timely output of the reconfigured optimal control ***,the presented reconfiguration scheme is applied to the level control of a benchmark four-tank plant to illustrate its effectiveness and main characteristics.

关键词： Alternating direction method of multipliers(ADMM)algorithm distributed control model predictive control(MPC) reconfigurable architecture systems.

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Technical Research on Multi-cloud Collaborative Consultation Platform for Remote Support 9

Technical Research on Multi-cloud Collaborative Consultation...

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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Jia-Jun, Li Zhi-Wei, Liu Chao, Liu Kai-Ming, Qie Beijing Institute of Control and Electronic Technology Key Laboratory of Information System and Technology Beijing China

ISBN: (纸本)9798350330076

Remote support is a global trend and plays a vital role in the digital age. The multi-cloud collaborative conference platform for remote support can help users and technical teams solve various technical problems more conveniently and efficiently, and facilitate user collaboration and communication. This article will introduce the functions and applications of the multi-cloud collaborative conference platform for remote support in detail, analyze the advantages of the multi-cloud collaborative consultation platform, and look forward to the future development of the multi-cloud collaborative platform. © 2023 IEEE.

关键词： conference platform efficient and convenient multi-cloud collaboration remote support

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De-Redundant Biomedical Feature Extraction Based On Improved MultiSURF

De-Redundant Biomedical Feature Extraction Based On Improved...

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2023 China Automation Congress, CAC 2023

作者： Ma, Ruixiang Zhang, Bin Chen, Cailian Shanghai Jiao Tong University Department of Automation Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

ISBN: (纸本)9798350303759

Biomedical data contain valuable information which contributes to the prediction of clinical disease risk. However, the presence of redundant and irrelevant features will diminish prediction accuracy and augment model complexity. According to our research, MultiSURF is a famous feature selection method but falls short in eliminating redundant features. To address this constraint, this paper introduced an improved MultiSURF method known as EN-MultiSURF. The proposed method integrated the strengths of Elastic Net and MultiSURF, which is capable of detecting similarity between features as well as eliminating redundant and irrelevant features. The proposed method was compared with Relief, MultiSURF, Elastic Net, Random Forest and Decision Tree on one binary along with four multiclass numerical datasets. The experimental results substantiated that our method surpassed other methods and exhibited a higher degree of consistency with medical prior knowledge, which established itself as a valuable tool for biomedical data mining. © 2023 IEEE.

关键词： Feature Selection

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Weighting Strategy of Multi-camera system for Pose Measurement

Weighting Strategy of Multi-camera System for Pose Measure...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Li, Yuran Zhou, Tongyuehao Yu, Wenbin Li, Yichen Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

ISBN: (纸本)9789811966125

In a multi-camera system, based on Binocular vision, choosing the best camera combination is one of the effective ways to improve measurement accuracy. When multi-cameras layout and intrinsic parameters are fixed, the angle and the distance from cameras to object are two main factors influencing the pose measurement result. From the perspective of object’s observability and image resolution, the mathematic relation between measurement error and the angle, distance from cameras to object is derived which forms the weighting formula whose high value corresponds to the best camera combination. Comprehensive simulation is conducted, proving that the proposed method can decrease the measurement error by 55% compared with former methods, and even by 94% in some occasions. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cameras

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Underwater Noncooperative Target Localization and Tracking Using Range-Only Measurements

Underwater Noncooperative Target Localization and Tracking ...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Yang, Yang Li, Yichen Yu, Wenbin Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

ISBN: (纸本)9789811966125

In this article, noncooperative target localization and tracking using multiple autonomous underwater vehicles (AUVs) are investigated. The main goal is to improve the target localization accuracy and tracking performance with the range-based information and to solve the problem of unobservability. A pose-based region-optimal (PBRO) algorithm is designed using range-only measurements in the scenario where three AUVs track and locate a noncooperative target. PBRO improves the target localization accuracy by modifying the target pose estimation using range-only measurements and enables the AUVs to have the optimal tracking performance in the obtained uncertainty region by the target motion constraints. Moreover, the proposed tracking strategy can get the maximum observability of the target. The simulation results validate the advantages of PBRO as compared with the alternative algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Autonomous underwater vehicles

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A Real-time Local Planner Design for Smart Wheelchairs Based on Koopman Bilinear Model Predictive control

A Real-time Local Planner Design for Smart Wheelchairs Based...

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2024 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2024

作者： Yu, Guanfeng Zhang, Han Wang, Zehao Wang, Jingchuan Shanghai Jiao Tong University Institute of Medical Robotics Department of Automation China Ministry of Education of China Key Laboratory of System Control and Information Processing China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798350372601

The paper introduces a Koopman bilinear model predictive control (KBMPC) as a local planner for smart wheelchair systems. This approach leverages the Koopman Operator to streamline the nonlinear terms in MPC, aiming to achieve superior real-time performance. In particular, we employ the Extended Dynamic Mode Decomposition (EDMD) method to approximate the infinite dimensional Koopman operator. To tackle the challenge of designing lifting functions, we systematically utilize the derivatives of known nonlinear structures to methodically derive lifting functions. This systematic approach facilitates the identification of a precise bilinear model. Next, we formulate the corresponding Koopman bilinear MPC problem. Finally, an iterative algorithm is employed to efficiently solve the KBMPC problem. This method linearizes the bilinear model around estimations and iteratively solves the resulting quadratic programming problem to refine estimations. This allows KBMPC to function as a real-time local planner for smart wheelchairs. The prediction of nonlinear terms shows that the identified Koopman bilinear model increases the prediction accuracy. Furthermore, experiments demonstrate the advantages of the designed KBMPC local planner, highlighting its superior real-time performance and predictive capabilities. © 2024 IEEE.

关键词： Iterative methods

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A Low-complexity Decision Variables Classification Brainstorm Optimization Algorithm

A Low-complexity Decision Variables Classification Brainstor...

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2024 International Conference on Applied Mathematics, Modelling and Statistics Application, AMMSA 2024

作者： Li, Qiyue Qiu, Lipeng Zhou, Aoran Wu, Yali Wang, Ziren Department of Information and Control Engineering Xi'An University of Technolog Xi'an710048 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an710048 China State Key Laboratory of Metal Extrusion and Forging Equipment Technology China National Heavy Machinery Research Institute Co. Ltd. Xi'an710016 China

In the complex optimization scenarios of real life, we often need to not only weigh the conflicts between multi-objectives but also face the challenges brought by large-scale decision variables. When the scale of decision variables increases sharply, the search space will expand exponentially, which makes it difficult for the algorithm to traverse the whole search space under limited resources, so that the number of local optimal solutions increases sharply. The so-called 'dimension disaster' appears. To effectively deal with this problem, this paper proposes a large-scale multi-objective brainstorm optimization algorithm (LMaOBSO) based on low complexity decision variable classification method and improved penalty boundary intersection strategy. The algorithm uses a low-complexity tree sorting variable classification method to divide the decision variables into converges and diversity variables quickly. At the same time, the convergent variables are optimized by the improved penalty boundary crossover strategy to solve the problems existing in large-scale optimization problems. © Published under licence by IOP Publishing Ltd.

关键词： Disasters

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Vision-Based Adaptive Prescribed-Time control of UAV for Uncooperative Target Tracking with Performance Constraint

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Journal of systems Science & Complexity 2024年第5期37卷 1956-1977页

作者： SHE Xuehua MA Hui REN Hongru LI Hongyi School of Automation and the Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of TechnologyGuangzhou 510006China School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou 510006China College of Electronic and Information Engineering and Chongqing Key Laboratory of Generic Technology and System of Service Robots Southwest UniversityChongqing 400715China

This paper discusses the uncooperative target tracking control problem for the unmanned aerial vehicle(UAV)under the performance constraint and scaled relative velocity constraint,in which the states of the uncooperative target can only be estimated through a vision *** the limited detection range,a prescribed performance function is designed to ensure the transient and steady-state performances of the tracking ***,the scaled relative velocity constraint in the dynamic phase is taken into account,and a time-varying nonlinear transformation is used to solve the constraint problem,which not only overcomes the feasibility condition but also fails to violate the constraint ***,the practically prescribed-time stability technique is incorporated into the controller design procedure to guarantee that all signals within the closed-loop system are *** is proved that the UAV can follow the uncooperative target at the desired relative position within a prescribed time,thereby improving the applicability of the vision-based tracking *** results have been presented to prove the validity of the proposed control strategy.

关键词： Nonlinear transformation performance constraint prescribed-time tracking uncooperative target vision-based measurement

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