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Equalizer Zero-Determinant Strategy in Discounted Repeated Stackelberg Asymmetric Game

Journal of Systems science & Complexity 2024年第1期37卷 184-203页

作者： CHENG Zhaoyang CHEN Guanpu HONG Yiguang Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology10044 StockholmSweden. Department of Control Science and Engineering Tongji UniversityShanghai 201804China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 210201China

This paper focuses on the performance of equalizer zero-determinant(ZD)strategies in discounted repeated Stackelberg asymmetric *** the leader-follower adversarial scenario,the strong Stackelberg equilibrium(SSE)deriving from the opponents’best response(BR),is technically the optimal strategy for the ***,computing an SSE strategy may be difficult since it needs to solve a mixed-integer program and has exponential complexity in the number of *** this end,the authors propose an equalizer ZD strategy,which can unilaterally restrict the opponent’s expected *** authors first study the existence of an equalizer ZD strategy with one-to-one situations,and analyze an upper bound of its performance with the baseline SSE *** the authors turn to multi-player models,where there exists one player adopting an equalizer ZD *** authors give bounds of the weighted sum of opponents’s utilities,and compare it with the SSE ***,the authors give simulations on unmanned aerial vehicles(UAVs)and the moving target defense(MTD)to verify the effectiveness of the proposed approach.

关键词： Discounted repeated Stackelberg asymmetric game equalizer zero-determinant strategy strong Stackelberg equilibrium strategy

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A Review on Cooperative control Problems of Multi-agent Systems 41

A Review on Cooperative Control Problems of Multi-agent Syst...

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第41届中国控制会议

作者： Ying Ma Yungang Liu Le Zhao Meng Zhao School of Electrical and Control Engineering Shaanxi University of Science and Technology School of Control Science and Engineering Shandong University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Recently,the cooperative control of multi-agent systems has rapidly developed at an amazing rate and has attracted striking attention from system and control community due to its potential *** reviewing previous research,we summarize that the cooperative control problems of multi-agent systems include consensus,connectivity preservation,formation,containment control,flocking,coverage control and so ***,we mainly state the definitions of different cooperative control ***,the applications of diverse problems are ***,we employ the figure to manifest the relationship among the distinct cooperative control problems.

关键词： cooperative control multi-agent systems consensus containment control

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Anti-Windup Active Power control for Wind Turbines Considering Loads Reduction 13

Anti-Windup Active Power Control for Wind Turbines Consideri...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Wang, Guozhong Luo, Hao Jiao, Xuguo Yang, Zhibo Zhao, Xinxin School of Information and Control Engineering Qingdao University of Technology Qingdao266520 China College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (纸本)9798350361674

In recent years, the proportion of wind power in electricity contribution is increasing, and wind power generation technology has developed rapidly. How to enhance the stability of wind turbine systems and extend their service life are still challenging problems due to uncertain and intermittent characteristics of natural wind. In order to ensure that variable speed wind turbines track the active power instructions released by the power system, an improved anti-windup rotor speed control strategy is designed to switch different control strategies according to the wind turbine rotor speed value, with the aim of optimizing the mechanical loads of pitch systems. Firstly, in the low wind speed region, the maximum wind energy capture is achieved by optimal torque control. When the rotor speed increases to a critic value, torque control determined by the turbine's rated output power and rotor speed is adopted. In the high wind speed region, the pitch controller is used to adjust the wind energy capture coefficient to maintain the rotor speed at its rated value. Moreover, in order to solve the problem of integral saturation in traditional rotor speed control methods, this paper proposes a bounded constraints assisted Proportional-Integral (PI) pitch angle control scheme to optimize the operation of pitch system. This control method can effectively eliminates integral saturation, mitigate fatigue loads of wind turbines, reduces overshoot of rotor speed and ensures safe and stable operation of wind turbines. Finally, the proposed method is simulated on OpenFAST platform to verify its advancement. © 2024 IEEE.

关键词： Wind turbines

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Enhanced degradation of florfenicol by microscale SiC/Fe:Dechlorination via hydrogenolysis

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Chinese Chemical Letters 2024年第7期35卷 218-221页

作者： Yun-Fei Zhang Chun-Hui Zhang Jian-Hui Xu Lei Li Dan Li Jin-Hong Fan Jiale Gao Xin Quan Qi Wu Yue Zou Yan-Ling Liu Dongguan University of Technology School of Environment and Civil EngineeringDongguan 523830China State Key Laboratory of Pollution Control and Resource Reuse School of Environmental Science and EngineeringTongji UniversityShanghai 200092China

Herein,the degradation of florfenicol(FLO)over zero-valent iron(ZVI)enhanced by SiC was systematically *** was found that 5 g/L of ZVI/SiC(1:3)at pH 3.0 could completely degrade 20 mg/L of FLO within 1 h,with a Kobsvalue of 0.0873 min^(-1),12.5 times greater than that of pure ZVI(0.0069 min^(-1)).Vibrating sample magnetometer(VSM)characterizations revealed that the use of SiC supporter reduces the magnetic intensity of ZVI,which mitigates iron particle agglomeration,increases Brunauer-Emmett-Teller(BET)surface area,and enhances FLO degradation ***,ZVI/SiC exhibits a much lower hydrogen evolution potential(HEP)and significantly higher corrosion currents compared to pure *** was proposed to undergo degradation via reductive dechlorination,involving a hydrogenolysis mechanism that entails the cleavage of theσ*** study provides new insights into the reduction hydrogenation mechanism of ZVI.

关键词： Zero-valent iron Silicon carbide Reductive dechlorination Hydrogenolysis Florfenicol

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A Feasible Zone Analysis Method with Global Partial Load Scanning for Solving Power Flow Coupling Models of CCHP Systems

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Journal of Modern Power Systems and Clean Energy 2022年第2期10卷 371-377页

作者： Pohan Chen Kai Sun Chenghui Zhang Bo Sun the Department of Electrical Engineering Tsinghua UniversityBeijingChina the School of Control Science and Engineering Shandong UniversityJinanChina

Heat exchanger systems(HXSs)or heat recovery steam generators(HRSGs)are commonly used in 100 kW to 50 MW combined cooling,heating,and power(CCHP)*** flow coupling(PFC)is found in HXSs and is complex for researchers to *** could possibly mislead the dispatch schedule and result in the inaccurate *** is caused by the inlet and outlet temperatures of each component,gas flow pressure variation,conductive medium flow rate,and atmosphere condition *** this paper,the expression of PFC is built by using quadratic functions to fit the non!inearit>of thermal *** fitting the model,the environmental condition needs prediction,which is calculated using phase space reconstruction(PSR)Kalman *** order to solve the complex quadratic dispatch model,a hybrid following electricity load(FEL)and following thermal load(FTL)mode for reducing the dimension of dispatch model,and a feasible zone analysis(FZA)method are *** a result,the PFC problem of CCHP system is solved,and the dispatch cost,investment cost,and the maximum power requirements are *** this paper,a case in Jinan,China is *** PFC model is proven to be more precise and accurate compared with traditional models.

关键词： Combined cooling heating and power(CCHP)system renewable energy source(RES) load prediction operation strategy exergy and energy analysis power flow coupling(PFC)model.

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Parameter-level Mask-based Adapter for 3D Continual Learning with Vision-Language Model

Parameter-level Mask-based Adapter for 3D Continual Learning...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Qian, Longyue Zhang, Mingxin Zhang, Qian Zhang, Lin Li, Teng Zhang, Wei School of Control Science and Engineering Shandong University Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan250100 China

ISBN: (纸本)9781665481090

As 3D object classification becomes increasingly essential in various applications, the need for models to continuously adapt to new scenarios is more crucial than ever. However, existing continual learning methods primarily concentrate on 2D tasks, making their direct application to 3D tasks challenging due to the inherent domain gap. To address this issue, we propose Parameter-level Mask-based Adapter (PMA) for 3D continual learning with Vision-Language Models. Our approach leverages the power of Contrastive Language-Image Pre-Training (CLIP) to extract rich multimodal features by projecting 3D point clouds into multi-angle depth maps, which are then processed by the 2D encoder aligned with rendered images. The core of our method is a parameter-level adapter with learnable masks that effectively integrates 3D point cloud features with 2D features. This mechanism flexibly selects the most relevant subsets of weights for each task, allowing subsequent tasks to utilize the learned weights without the need for updates, which effectively balances stability and plasticity during continual learning. Experimental results show that our method significantly outperforms existing state-of-the-art techniques. © 2024 IEEE.

关键词： Contrastive Learning

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Automatic modulation recognition of radio fuzes using a DR2D-based adaptive denoising method and textural feature extraction

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Defence Technology（防务技术） 2024年第4期34卷 328-338页

作者： Yangtian Liu Xiaopeng Yan Qiang Liu Tai An Jian Dai Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China China Research and Development Academy of Machinery Equipment Beijing 100089China

The identification of intercepted radio fuze modulation types is a prerequisite for decision-making in interference ***,the electromagnetic environment of modern battlefields is complex,and the signal-to-noise ratio(SNR)of such environments is usually low,which makes it difficult to implement accurate recognition of radio *** solve the above problem,a radio fuze automatic modulation recognition(AMR)method for low-SNR environments is ***,an adaptive denoising algorithm based on data rearrangement and the two-dimensional(2D)fast Fourier transform(FFT)(DR2D)is used to reduce the noise of the intercepted radio fuze intermediate frequency(IF)***,the textural features of the denoised IF signal rearranged data matrix are extracted from the statistical indicator vectors of gray-level cooccurrence matrices(GLCMs),and support vector machines(SVMs)are used for *** DR2D-based adaptive denoising algorithm achieves an average correlation coefficient of more than 0.76 for ten fuze types under SNRs of-10 d B and above,which is higher than that of other typical *** trained SVM classification model achieves an average recognition accuracy of more than 96%on seven modulation types and recognition accuracies of more than 94%on each modulation type under SNRs of-12 d B and above,which represents a good AMR performance of radio fuzes under low SNRs.

关键词： Automatic modulation recognition Adaptive denoising Data rearrangement and the 2D FFT(DR2D) Radio fuze

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Cotransport of nanoplastics with nZnO in saturated porous media:From brackish water to seawater

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Journal of Environmental sciences 2025年第2期148卷 541-552页

作者： Yuanzhang Hou Yange Wang Yidi Zhang Zhibo Lu Zhenbo Zhang Zhiqiang Dong Yuping Qiu Department of Environmental Science College of Environmental Science and EngineeringTongji UniversityState Key Laboratory of Pollution Control and Resources ReuseShanghai Institute of Pollution Control and Ecological SecurityShanghai 200092China School of Medicine Tongji UniversityShanghai 200065China Municipal Environmental Protection Engineering Co. Ltd of CERC Shanghai GroupShanghai 201906China China Railway Engineering Group Co. Beijing 100039China

The ocean serves as a repository for various types of artificial ***(NPs)and nano zinc oxide(nZnO),which are frequently employed in personal care products and food packaging materials,are likely simultaneously released and eventually into the ocean with surface ***,their mutual influence and shared destiny in marine environment cannot be *** study examined how nanomaterials interacted and transported through sea sand in various salinity *** showed that NPs remained dispersed in brine,while nZnO formed *** seawater of 35 practical salinity units(PSU),nZnO formed heteroaggregates with NPs,inhibiting NPs mobility and decreasing the recovered mass percentage(Meff)from 24.52%to 12.65%.In 3.5 PSU brackish water,nZnO did not significantly aggregate with NPs,and thus barely affected their ***,NPs greatly enhanced nZnO transport with Meff increasing from 14.20%to 25.08%,attributed to the carrier effect of higher mobility *** from brackishwater to seawater was simulated in salinity change experiments and revealed a critical salinity threshold of 10.4 PSU,below which the mobility of NPs was not affected by coexisting nZnO and above which nZnO strongly inhibited NP *** study highlights the importance of considering the mutual influence and shared destiny of artificial nanoparticles in the marine environment and how their interaction and cotransport are dependent on changes in seawater salinity.

关键词： Homoaggregate Heteroaggregate Transport Sea sand Salinity threshold

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An improved particle swarm optimization algorithm with distributed time-delays of evolved acceleration coefficients and adaptive weights

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Soft Computing 2024年第17-18期28卷 9735-9757页

作者： Tian, Xin Hu, Jianhua Song, Yan Wei, Guoliang College of Science University of Shanghai for Science and Technology Shanghai China Department of Control Science and Engineering University of Shanghai for Science and Technology Shanghai China Business School University of Shanghai for Science and Technology Shanghai China

Particle swarm optimization (PSO) is a classical computational method that optimizes a problem by iteratively trying to find the optimal solution. It still suffers somes defects such as poor local search ability, low search accuracy and premature convergence, especially in high-dimensional complex problems. In order to address these issues, this paper has proposed a novel PSO algorithm with distributed delays of adaptive weights and evolved acceleration coefficients (PSO-DWC). The main idea of the proposed improved PSO algorithm is three-fold: (1) a mechanism is introduced to evaluate the current evolutionary state by evolutionary factors of the swarm and to predict the next state by a probability transition matrix;(2) distributed time-varying time-delays are added into the velocity updated model;(3) adaptive inertia weight varies according to evolutionary factors, which describes the population distribution information;and newly-introduced evolved acceleration coefficients are determined by the predict next evolutionary state of the swarm. Owing to the promising issues mentioned above, the PSO-DWC algorithm has the advantages of keeping the diversity of particles, balancing the local and global search abilities and reaching to an acceptable solution. Experiments on twenty well-known benchmark functions have demonstrated that the proposed PSO-DWC algorithm has a superior performance over other five well-known PSO algorithms in high dimensional search space. Statistical significance tests verify the superiority of the new algorithm. Therefore it can be concluded that the novel PSO-DWC algorithm is able to solve the optimization problems with powerful global search and efficient convergence. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Timing circuits

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P2CBAM: 3D Object Detection for Autonomous Driving

P2CBAM: 3D Object Detection for Autonomous Driving

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Li, Ruitong Zhang, Tao Xu, Xiaoyu Zhao, Yuenan Song, Ran Zhang, Wei School of Control Science and Engineering Shandong University Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan250061 China

ISBN: (纸本)9781665481090

Efficient and accurate object detection from 3D point clouds is crucial for autonomous driving. Due to the sparsity and irregularity of real-world point clouds, as well as the real-time requirements for detectors, existing 3D object detectors face significant challenges in practical applications. PointPillars is widely used in real-world scene due to its fast detection speed, but its accuracy lags behind some existing methods. To enhance the detection accuracy of this model, we propose P2CBAM, which integrates CBAM into the PointPillars baseline model. This integration improves detection accuracy with relatively minimal additional computational resources. Extensive experiments conducted on the KITTI and Waymo Open datasets demonstrate that P2CBAM outperforms the baseline model on both datasets. The code is available at https://***/Bennyliiiiii/P2CBAM. © 2024 IEEE.

关键词： HTTP

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