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A fuzzy model predictive controller for stick-slip type piezoelectric actuators

OPTIMAL control APPLICATIONS & METHODS 2023年第3期44卷 1058-1073页

作者： Cheng, Long Wang, Ang Qin, Shijie Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat 95 Zhongguancun East Rd Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China

In nano/micro-positioning applications, stick-slip type piezoelectric actuators (SSPEAs) are usually employed for a satisfactory performance in both the movement range and the positioning accuracy. Unfortunately, the controller design of SSPEAs is a challenging task, which is seldom studied in the literature. So this article presents an idea of using the fuzzy model predictive control approach for the high-precision positioning. First, a prototype of the stick-slip type piezoelectric actuator is designed. Then a Takagi-Sugeno fuzzy model is established for the entire SSPEA, whose parameters can be further adapted by the recursive estimation approach based on the online measurement. Based on this model, a predictive controller can be designed for SSPEAs. Compared to some existing studies, the proposed fuzzy model directly describes the input-output relationship of the entire SSPEA rather than modeling separately. As a result, the controller can be simplified. Finally, some experiments are conducted on the SSPEA prototype, which demonstrates a satisfactory control performance

关键词： adaptive fuzzy model model predictive control piezoelectric actuator stick-slip device

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Optimal Spin Polarization control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming

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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING systems 2024年第5期35卷 5835-5847页

作者： Wang, Ruigang Wang, Zhuo Liu, Sixun Li, Tao Li, Feng Qin, Bodong Wei, Qinglai Beihang Univ Hangzhou Innovat Inst Zhejiang Prov Key Lab Ultra Weak Magnet Field Spa Hangzhou 310051 Peoples R China Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing 100191 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

This work is the first to solve the 3-D spin polarization control (3DSPC) problem of atomic ensembles, which controls the spin polarization to achieve arbitrary states with the cooperation of multiphysics fields. First, a novel adaptive dynamic programming (ADP) structure is proposed based on the developed multicritic multiaction neural network (MCMANN) structure with nonquadratic performance functions, as a way to solve the multiplayer nonzero-sum game (MP-NZSG) problem in 3DSPC under the constraints of asymmetric saturation inputs. Then, we utilize the MCMANNs to implement the multicritic multiaction ADP (MCMA-ADP) algorithm, whose convergence is proven by the compression mapping principle. Finally, the MCMA-ADP is deployed in the spin-exchange relaxation-free (SERF) system to provide a set of control laws in 3DSPC that fully exploits the multiphysics fields to achieve arbitrary spin polarization states. Numerical simulations support the theoretical results.

关键词： 3-D spin polarization control (3DSPC) adaptive dynamic programming (ADP) asymmetric input constraint multicritic multiaction neural networks (MCMANNs) multiphysics multiplayer nonzero-sum game (MP-NZSG) spin-exchange relaxation-free (SERF).

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Towards the Next Level of Vehicle Automation Through Cooperative Driving: A Roadmap From Planning and control Perspective

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES

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IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 2024年第3期9卷 4335-4347页

作者： Wang, Haoran Feng, Yongwei Tian, Yonglin Wang, Ziran Hu, Jia Tomizuka, Masayoshi Tongji Univ Key Lab Rd & Traff Engn Minist Educ Shanghai 201804 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Purdue Univ Coll Engn W Lafayette IN 47907 USA Univ Calif Berkeley Dept Mech Engn Berkeley CA 94720 USA

Cooperative Driving Automation (CDA) stands at the forefront of the evolving landscape of vehicle automation, elevating driving capabilities within intricate real-world environments. This research aims to navigate the path toward the future of CDA by offering a thorough examination from the perspective of Planning and control (PnC). It classifies state-of-the-art literature according to the CDA classes defined by the Society of Automotive Engineers (SAE). The strengths, weaknesses, and requirements of PnC for each CDA class are analyzed. This analysis helps identify areas that need improvement and provides insights into potential research directions. The research further discusses the evolution directions for CDA, providing valuable insights into the potential areas for further enhancement and enrichment of CDA research. The suggested areas include: control robustness against disturbance;Risk-aware planning in a mixed environment of Connected and Automated Vehicles (CAVs) and Human-driven Vehicles (HVs);Vehicle-signal coupled modeling for coordination enhancement;Vehicle grouping to enhance the mobility of platooning.

关键词： Literature review cooperative driving automation planning and control

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Web3-Based Decentralized Autonomous Organizations and Operations: Architectures, Models, and Mechanisms

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IEEE TRANSACTIONS ON systems MAN CYBERNETICS-systems 2023年第4期53卷 2073-2082页

作者： Qin, Rui Ding, Wenwen Li, Juanjuan Guan, Sangtian Wang, Ge Ren, Yuhai Qu, Zhiyou Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Macau Univ Sci & Technol Macao Inst Syst Engn Macau Peoples R China North Automat Control Technol Inst Lab Parallel Intelligence Taiyuan 030006 Peoples R China

Empowered by blockchain and Web3 technologies, decentralized autonomous organizations (DAOs) are able to redefine resources, production relations, and organizational structures in a revolutionary manner. This article aims to reanalyze DAOs from the perspectives of organization and operation, and provide a more precise definition of DAOs as DAOs and Operations. Based on this, the fundamental principles and requirements of DAOs are explained, while the infrastructure based on cyber- physical-social system (CPSS) and parallel intelligence, as well as the supporting technologies, such as digital twins, metaverse, and Web3, are discussed. Besides, a five-layer intelligent architecture is presented, and the closed-loop equation and new function oriented intelligent algorithms are also proposed. Moreover, the governance mechanisms from the individual, organizational and social perspectives are discussed, and the incentive mechanisms for the human, robot, and digital human are analyzed. This article can be regarded as a stepping stone for further research and developments of DAOs.

关键词： Blockchain decentralized autonomous organi-zation (DAO) and operation intelligent algorithms mechanism design metaverse smart contracts Web3

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RadarVerses in Metaverses: A CPSI-Based Architecture for 6S Radar systems in CPSS

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IEEE TRANSACTIONS ON systems MAN CYBERNETICS-systems 2023年第4期53卷 2128-2137页

作者： Liu, Yuhang Shen, Yu Tian, Yonglin Ai, Yunfeng Tian, Bin Wu, Er Chen, Long Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China North Automat Control Technol Inst Lab Parallel Intelligence Taiyuan 030006 Peoples R China

Metaverses have caused significant changes in the industry and their academic foundation can be traced back to the term cyber-physical-social systems (CPSS), which was proposed in 2010. Radar is an important sensor in sensing systems that are widely applied in many fields, especially, in autonomous driving. To deal with the complex environment, smart radars with real-time information processing capabilities are required. Human factors play a critical role in the operation and management of radar systems, thus, digital twins' radars in cyber-physical systems (CPS) are unable to achieve intelligence in CPSS due to an incomplete consideration of human involvement. For this consideration, we propose a novel framework of RadarVerses for smart radars in metaverses based on ACP-based parallel intelligence, which is also known as cyber-physical-social intelligence (CPSI). RadarVerses consist of five main parts which are physical radars, descriptive radars, predictive radars, prescriptive radars, and deep radars. To construct RadarVerses at the technical level, we introduce four main technical foundations: 1) communication technology;2) scenarios engineering;3) foundation models;and 4) digital workers. In addition, we also provide a case study about LiDARs' predictive maintenance of accumulated snow in RadarVerses.

关键词： Cyber-physical-social systems (CPSS) meta-verses parallel intelligence RadarVerses

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Editorial: Robotic intelligence and automation

ROBOTIC INTELLIGENCE AND AUTOMATION

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ROBOTIC INTELLIGENCE AND AUTOMATION 2023年第1期43卷 1-2页

作者： Qiao, Hong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Techno Shanghai Peoples R China

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Foundation Vehicles: From Foundation Intelligence to Foundation Transportation for Future Mobility

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES

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IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 2023年第10期8卷 4287-4291页

作者： Wang, Fei-Yue Lv, Chen Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore 639798 Singapore

IEEE TIV has received its 3251 manuscript submissions, which is nearly twice as many as that of last year, 236 submissions are still being reviewed in our system, and 18 are overdue for review scoring. I would like to express my sincere gratitude to all authors, reviewers, and editorial board members for your invaluable contributions and unwavering support. Your dedication has been instrumental in maintaining the high quality and great service of our journal and fostering a vibrant scholarly community [1], [2], [3], [4], [5], [6], [7].

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AirVista: Empowering UAVs with 3D Spatial Reasoning Abilities Through a Multimodal Large Language Model Agent 27

AirVista: Empowering UAVs with 3D Spatial Reasoning Abilitie...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Lin, Fei Tian, Yonglin Wang, Yunzhe Zhang, Tengchao Zhang, Xinyuan Wang, Fei-Yue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Capital University of Economics and Business Beijing100070 China University of Chinese Academy of Sciences Department of Artificial Intelligence Beijing100049 China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing100190 China Macau University of Science and Technology Faculty of Innovation Engineering Department of Engineering Science 999078 China

ISBN: (纸本)9798331505929

In urban environments, complex transportation demands, including land, air, and maritime transport, are increasingly growing. While significant advancements have been made in land transportation and autonomous driving, research on urban air mobility (UAM) systems is still in its early stages. This paper presents an innovative urban air unmanned aerial vehicle (UAV) framework: AirVista, which is designed and built based on the Artificial systems, Computational experiments, and Parallel execution (ACP) approach, integrated with a multimodal large language model (MLLM) agent. Considering that UAM tasks often require UAVs to possess fine-grained spatial perception and reasoning capabilities, and given that existing MLLMs are somewhat lacking in exploring 3D spaces, this paper further proposes an instruction fine-tuning strategy integrated with 3D spatial knowledge, which has been validated experimentally for its effectiveness. Additionally, to enhance the understanding of the efficiency of MLLM for UAV tasks, this paper delves into prompt fine-tuning templates tailored for UAV task decomposition. Through experimental demonstrations, we showcase that the prompt-tuned MLLM exhibits efficient task decomposition and execution capabilities in handling complex UAV tasks. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Efficiency Evaluation of Insurance Companies From Multiperiod Perspective

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IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL systems 2024年第2期11卷 2656-2674页

作者： Xie, Qiwei Zhao, Mengfan Li, Rong Li, Wen Zheng, Xiaolong Li, Yongjun Qin, Rui Wang, Xiaojiong Wang, Fei-Yue Beijing Univ Technol Res Base Beijing Modern Mfg Dev Beijing 100124 Peoples R China Hubei Univ Fac Math & Stat Wuhan 430062 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100190 Peoples R China Univ Sci & Technol China Sch Management Hefei 230026 Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Multimodal Artificial Intelligence S Beijing 100190 Peoples R China Chinese Acad Sci Inst Sci & Dev Beijing 100190 Peoples R China

The insurance industry plays a crucial role of the national financial system, and the operating efficiency of insurance companies has always been a significant subject of academic research. This study proposes a multiperiod DEA model to dynamically evaluate the operating efficiency of insurance companies, which not only overcomes the defect of the traditional DEA method ignoring the internal structure of decision-making units, but also extends the limitation of the leader-follower model in evaluating single-period efficiency. By analyzing the efficiency of seven listed insurance companies in China from 2009 to 2018, the following conclusions are drawn. The multiperiod DEA model demonstrates advantages over the leader-follower model. The profitability of insurance companies during the first five years is higher compared with the last five years. There is a significant correlation between premium financing efficiency and overall efficiency. Throughout both periods, the loss ratio, loss reserve ratio, and consumer price index (CPI) are always positively correlated with the efficiency of the insurer, while the gearing ratio is negatively related to the efficiency of the insurer. The correlation among gross domestic product (GDP), total insurance value, tradable financial assets, and corporate efficiency varies over time.

关键词： DEA insurance companies leader-follower model multiple periods

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Pager Explosion:Cybersecurity Insights and Afterthoughts

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2359-2362页

作者： Chuan Sheng Wanlun Ma Qing-Long Han Wei Zhou Xiaogang Zhu Sheng Wen Yang Xiang Fei-Yue Wang Swinburne University of Technology Hawthorn VIC 3122Australia IEEE the School of Computer and Mathematical Sciences the University of AdelaideAdelaideSouth Australia 5005Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

PAGER EXPLOSION:THE *** 2024 Lebanon pager explosions represent one of the most unexpected and devastating technological incidents in recent *** September 17 and 18,2024,thousands of pagers and walkie-talkies exploded simultaneously across Lebanon and parts of Syria,resulting in 42 deaths and more than 3500 *** handheld communication devices,previously regarded as secure and low-profile,were rigged with concealed explosives and remotely triggered by attackers.

关键词： injuries thoughts explosion

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