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Data-driven output regulation control for constrained linear systems

Science China(Information Sciences) 2025年第3期68卷 338-353页

作者： Chaoyu XIA Yi DONG Chaoli WANG Shengyuan XU Shanghai Research Institute for Intelligent Autonomous Systems Tongji University College of Electronic and Information Engineering Shanghai Research Institute for Intelligent Autonomous SystemsTongji University Department of Control Science and Engineering School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Department of Automation Nanjing University of Science and Technology

This study introduces a data-driven approach for state and output feedback control addressing the constrained output regulation problem in unknown linear discrete-time systems. Our method ensures effective tracking performance while satisfying the state and input constraints, even when system matrices are not available. We first establish a sufficient condition necessary for the existence of a solution pair to the regulator equation and propose a data-based approach to obtain the feedforward and feedback control gains for state feedback control using linear programming. Furthermore, we design a refined Luenberger observer to accurately estimate the system state, while keeping the estimation error within a predefined set. By combining output regulation theory, we develop an output feedback control strategy. The stability of the closed-loop system is rigorously proved to be asymptotically stable by further leveraging the concept of λ-contractive sets.

关键词： output regulation constrained system data-driven.

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Focal Transfer Graph Network and Its Application in Cross-Scene Hyperspectral Image Classification

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第8期5卷 4013-4025页

作者： Wang, Haoyu Liu, Xiaomin the Engineering Research Center of Intelligent Control for Underground Space Ministry of Education China University of Mining and Technology Xuzhou 221116 China and also with the School of Information and Control Engineering China University of Mining and Technology Xuzhou 221116 China

Affected by the sensor, shooting environment, and other aspects, hyperspectral images (HSIs) in the source and target domains exhibit phenomenon of difficult feature extraction and domain shift. The above phenomena pose challenges to the cross-scene HSI classification task. Therefore, a focal transfer graph network (FTGN) for cross-scene HSI classification is proposed. First, FTGN leverages graph sample and aggregate (GraphSAGE) to capture spatial-spectral features by aggregating partial adjacency nodes, ensuring the acquisition of contextual information. The neighbor weighting strategy based on spatial-spectral information is proposed to solve the information interference caused by excessive node aggregation. Second, a pseudolabel trimming strategy based on class metrics is proposed to reduce the adverse effects of pseudolabel noise in the transfer process. Then, a specification subdomain adaptation (SSA) module is proposed, which helps to achieve effective distribution alignment by reducing the feature distance of intraclass samples and widening the feature distance of interclass samples during the subdomain adaptation process. Finally, the focal loss is utilized to help FTGN focus on hard-to-classify samples. The experimental results on eight data pairs show that the proposed method outperforms several state-of-the-art methods. © 2020 IEEE.

关键词： Data mining

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Deformation energy of tectonic coal under hydrostatic conditions:A new calculation model based on critical state theory

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International Journal of Mining Science and technology 2025年第1期35卷 87-100页

作者： Chenghao Wang Haisong Liu Yuanping Cheng Liang Wang Jingyu Jiang Artificial Intelligence Research Institute China University of Mining and TechnologyXuzhou 221116China National Engineering Research Center for Coal Gas Control China University of Mining and TechnologyXuzhou 221116China Intelligent Early Warning and Prevention Research Center for Coal Mine Disasters China University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China

The deformation energy(Wd)of soil-like tectonic coal is crucial for investigating the mechanism of coal and gas *** coal has a significant nonlinear constitutive relationship,which makes traditional elastic-based models for computing *** by critical state soil mechanics,this study theoretically established a new calculation model of Wdsuitable for the coal with nonlinear deformation *** the new model,the relationship between energy and stress no longer follows the square law(observed in traditional linear elastic models)but exhibits a power function,with the theoretical value of the power exponent ranging between 1 and *** cyclic loading and unloading experiments were conducted on four groups of tectonic coal samples and one group of intact coal *** results indicated that the relationship between Wdand stress for both intact and tectonic coal follows a power *** exponents for intact and tectonic coal are close to 2 and 1,*** stress-strain curve of intact coal exhibits small deformation and linear characteristics,whereas the stress-strain curves of tectonic coal show large deformation and nonlinear *** study specifically investigates the role of coal viscosity in the cyclic loading/unloading *** downward bending in the unloading curves can be attributed to the time-dependent characteristics of coal,particularly its viscoelastic *** on experimental statistics,the calculation model of Wdwas further *** simplified model involves only one unknown parameter,which is the power exponent between Wdand *** measured Wdof the coal samples increases with the number of load *** phenomenon is attributed to coal's viscoelastic *** the same stress,the Wdof tectonic coal is an order of magnitude greater than that of intact *** calculation model of Wdproposed in this paper provides a new tool for studying the energy princip

关键词： Coal and gas outburst Tectonic coal Deformation energy Calculation model Critical state soil mechanics

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Attar: RRAM-based in-memory attention accelerator with software-hardware co-optimization

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Science China(Information Sciences) 2025年第3期68卷 371-387页

作者： Bing LI Ying QI Ying WANG Yinhe HAN Information Engineering College Capital Normal University Research Center for Intelligent Computing Systems Institute of Computing TechnologyChinese Academy of Sciences

The attention mechanism has become a pivotal component in artificial intelligence, significantly enhancing the performance of deep learning applications. However, its quadratic computational complexity and intricate computations lead to substantial inefficiencies when processing long sequences. To address these challenges, we introduce Attar, a resistive random access memory(RRAM)-based in-memory accelerator designed to optimize attention mechanisms through software-hardware co-optimization. Attar leverages efficient Top-k pruning and quantization strategies to exploit the sparsity and redundancy of attention matrices, and incorporates an RRAM-based in-memory softmax engine by harnessing the versatility of the RRAM crossbar. Comprehensive evaluations demonstrate that Attar achieves a performance improvement of up to 4.88× and energy saving of 55.38% over previous computing-in-memory(CIM)-based accelerators across various models and datasets while maintaining comparable accuracy. This work underscores the potential of in-memory computing to enhance the efficiency of attention-based models without compromising their effectiveness.

关键词： RRAM computing-in-memory attention pruning quantization

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Design and Verification of Parallel Hip Exoskeleton Considering Output Torque Anisotropy

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Journal of Bionic engineering 2024年第3期21卷 1305-1320页

作者： Jilong Xu Yunzhan Niu Fucai Liu Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan UniversityQinhuangdao066004China Key Laboratory of Industrial Computer Control Engineering of Heibei Province Yanshan UniversityQinhuangdao066004China College of Mechanical Engineering Yanshan UniversityQinhuangdao066004China

In rehabilitation training,it is crucial to consider the compatibility between exoskeletons and human legs in ***,most exoskeletons today adopt an anthropomorphic serial structure,which results in rotational centers that are not precisely aligned with the center of the hip *** address this issue,we introduce a novel exoskeleton called the Parallel Hip Exoskeleton(PH-Exo)in this ***-Exo is meticulously designed based on the anisotropic law of output *** the friction of the drive components,a dynamic model of the human-machine complex is *** analysis demonstrates that PH-Exo not only exhibits outstanding torque performance but also achieves high controllability in both flexion/extension and adduction/abduction ***,a robust controller is designed to address model uncertainty,friction,and external *** experiments indicate that under the control of the robust controller,each motor achieves excellent tracking performance.

关键词： Hip exoskeleton Parallel mechanism Misalignment Anisotropy Output torque

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A regeneration strategy based on synchronous utilization in surface impurities of degradation nickel-rich material

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Progress in Natural Science:Materials International 2024年第4期34卷 710-719页

作者： Junfeng He Shijie Wang Peng Wei Jian Liu Yurong Ren School of Materials Science and Engineering Jiangsu Province Engineering Research Center of Intelligent Manufacturing Technology for the New Energy Vehicle Power Battery Changzhou Key Laboratory of Intelligent Manufacturing and Advanced Technology for Power Battery Changzhou University

The LiNi0.83Co0.12Mn0.05O2（Ni-rich NCM） cathode materials have been widely studied owing to their high energy density and excellent rate capability. However, Ni-rich NCM is prone to form large amounts of lithium impurities and causes structural decline, resulting in inconvenient material storage. To this end, Li4SiO4/SiO2was used as a structural regulator to eliminate the residual lithium and convert the irreversible phase. The Li4SiO4/SiO2protective coating effectively suppresses the corrosion of the electrolyte by blocking the direct contact between the electrode and the electrolyte, while having a high air stability under the hydrophobic action. In addition, SiO2has excellent corrosion resistance, which further enhances the cyclic stability of the material. The obtained regenerated NCM material displayed a great capacity of 198.6 mAh g-1at 0.3 C and long cycling stability（capacity retention of 82.2 % after 250 cycles）. This simple repair strategy significantly reduces the loss rate in industrial production and enhances the electrochemical performance while achieving material reuse.

关键词： LiNi0.83Co0.12Mn0.05O2 Structural repair Li4SiO4 SiO2 Surface coating

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Early RUL Prediction for Fast-charging Power Battery Based on Hybrid Modeling

Journal of Network Intelligence

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Journal of Network Intelligence 2025年第1期10卷 463-476页

作者： Jiang, Wenxia Hsu, Chih-Yu Liao, Lyuchao Ma, Huankun Wang, Zihao Fujian Provincial Universities Engineering Research Center for Intelligent Driving Technology Fujian University of Technology Fuzhou350118 China

Nowadays, countries worldwide are actively promoting the development of new energy electric vehicles, and the performance and lifetime of power batteries, as the core components of new energy EVs, play a crucial role in the reliability and sustainability of the vehicles. Therefore, accurate prediction of EV batteries’ Remaining Useful Life (RUL) is necessary. However, the gradual degradation of battery capacity in the early stages often makes early battery RUL prediction more challenging. This work proposes a novel hybrid method to predict battery RUL with fewer battery cycles, introducing the Efficient Channel Attention mechanism. The proposed method could better capture the subtle changes in the early stage of the battery, thereby providing improved capability to capture contextual information and enhancing the accuracy of the RUL prediction. Additionally, the Adaptive Dropout is introduced into the model to capture the essential attributes of battery lifespan from various complex factors battery for the RUL prediction. Extensive experiments are conducted on a real dataset, and the results demonstrate that the proposed method effectively improves the prediction performance with fewer cycles and achieves an earlier prediction. © 2025, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Hybrid power

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Adaptive Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 595-607页

作者： Jianguo Zhao Chunyu Yang Weinan Gao Linna Zhou Xiaomin Liu the Engineering Research Center of Intelligent Control for Underground Space Ministry of EducationChina University of Mining and TechnologyXuzhou 221116 the School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116 IEEE the State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China

This article studies the adaptive optimal output regulation problem for a class of interconnected singularly perturbed systems(SPSs) with unknown dynamics based on reinforcement learning(RL).Taking into account the slow and fast characteristics among system states,the interconnected SPS is decomposed into the slow time-scale dynamics and the fast timescale dynamics through singular perturbation *** the fast time-scale dynamics with interconnections,we devise a decentralized optimal control strategy by selecting appropriate weight matrices in the cost *** the slow time-scale dynamics with unknown system parameters,an off-policy RL algorithm with convergence guarantee is given to learn the optimal control strategy in terms of measurement *** combining the slow and fast controllers,we establish the composite decentralized adaptive optimal output regulator,and rigorously analyze the stability and optimality of the closed-loop *** proposed decomposition design not only bypasses the numerical stiffness but also alleviates the *** efficacy of the proposed methodology is validated by a load-frequency control application of a two-area power system.

关键词： Adaptive optimal control decentralized control output regulation reinforcement learning(RL) singularly perturbed systems(SPSs)

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Higher-order properties and extensions for indirect MRAC and APPC of linear systems

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Science China(Information Sciences) 2024年第4期67卷 218-238页

作者： Yanjun ZHANG Zhipeng ZHANG Jian SUN Lei WANG Kangkang ZHANG National Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology School of Automation Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center College of Control Science and Engineering Zhejiang University Department of Electrical and Electronic Engineering Imperial College London KIOS Research and Innovation Center of Excellence University of Cyprus

Recently, a reference derived some new higher-order output tracking properties for direct model reference adaptive control（MRAC） of linear time-invariant（LTI） systems: limt→∞ e（i）（t） = 0, i = 1,..., n*-1, where n*and e（i）（t） denote the relative degree of the system and the i-th derivative of the output tracking error, respectively. However, a naturally arising question involves whether indirect adaptive control（including indirect MRAC and indirect adaptive pole placement control） of LTI systems still has higher-order tracking properties. Such properties have not been reported in the literature. Therefore, this paper provides an affirmative answer to this question. Such higher-order tracking properties are new discoveries since they hold without any additional design conditions and, in particular, without the persistent excitation condition. Given the higher-order properties, a new adaptive control system is developed with stronger tracking features.（1） It can track a reference signal with any order derivatives being unknown.（2） It has higher-order exponential or practical output tracking properties.（3） Finally, it is different from the usual MRAC system, whose reference signal's derivatives up to the n*order are assumed to be known. Finally, two simulation examples are provided to verify the theoretical results obtained in this paper.

关键词： higher-order tracking indirect adaptive control model reference adaptive control adaptive pole placement control

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Optimal Stochastic Scheduling Strategy of Multi-vector Energy Complex Integrated with Full-blown Power-to-biomethane Model

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 863-873页

作者： Guanwei Zeng Chengxi Liu Minfang Liao Yongjian Luo Xuzhu Dong Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network WuhanChina the School of Electrical Engineering and Automation Wuhan UniversityWuhanChina

We propose an optimal stochastic scheduling strategy for a multi-vector energy complex(MEC),considering a fullblown model of the power-to-biomethane(Pt M)*** conventional optimization that uses a simple efficiency coefficient to coarsely model energy conversion between electricity and biomethane,a detailed Pt M model is introduced to emphasize the reactor kinetics and chemical equilibria of *** model crystallizes the interactions between the Pt M process and MEC flexibility,allowing to adjust the operating condition of the methanation reactor for optimal MEC operation in stochastic *** optimization and flowsheet design of the Pt M process increase the average selectivity of methane(i.e.,ratio between net biomethane production and hydrogen consumption)up to 83.7%in the proposed synthesis *** results can provide information and predictions to operators about the optimal operating conditions of a Pt M unit while improving the MEC flexibility.

关键词： Multi-vector energy complex optimal stochastic scheduling power-to-biomethane unit process synthesis natural gas

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