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第33届中国控制与决策会议

作者： Hao Yu Min Huang Nian Wu College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

Carpooling is an effective way to achieve lower transportation cost,higher vehicle utilization and alleviate air pollution and traffic congestion by allowing the joint coverage of overlapped *** has been extensively studied for passenger transportation while attracts little academic attention for freight *** this paper we investigate intra-city freight transportation service transaction problem(IFTSP) with carpooling mode and propose truthful carpooling double auction(TCDA) mechanism for solving *** prove theoretically that TCDA mechanism is incentive compatible(IC),budget balanced(BB),individual rational(IR) and asymptotically efficient(AsE).Numerical experiments show that TCDA can significantly improve the social welfare and vehicle utilization compared with conventional McAfee *** can also greatly enhance customers' utility and balance the market power in sellers' market.

关键词： Carpooling Intra-city freight transportation Mechanism design Auction Incentive compatibility

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H∞Asynchronous Control for Discrete-Time Semi-Markov Jump Systems 16th

H∞Asynchronous Control for Discrete-Time Semi-Markov Jump S...

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16th IFAC Symposium on Large Scale Complex Systems: Theory and Applications LSS 2022

作者： Jin, Liqiang Yin, Yanyan Liu, Yanqing Teo, Kok Lay Liu, Fei National Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Institute of Automation Jiangnan University Wuxi214122 China School of Electrical Engineering Computing and Mathematical Sciences Curtin University PerthWA6102 Australia School of Mathematical Sciences Sunway University Kuala Lumpur47500 Malaysia Tianjin University of Finance and Economics Tianjin China

This paper investigates the problem of H∞asynchronous control for discrete-time semi-Markov jump systems. In practice, it is difficult to ensure that controller modes and system modes are updated synchronously. Therefore, a hidden semi-Markov model is introduced to characterize such an asynchronous phenomenon between system modes and controller modes. Meanwhile, the switching signal of the controller is generated by a given conditional probability related to the system mode. Based on the mode-dependent and elapsed-time-dependent Lyapunov function, together with the semi-Markov kernel (SMK) method, sufficient conditions constructed by linear matrix inequalities (LMIs) are derived to ensure the existence of an asynchronous controller such that the resulting system is σ-error mean square stable and satisfies an H∞performance index. Finally, a numerical example is given to illustrate the effectiveness and feasibility of the method proposed. © 2022 Elsevier B.V.. All rights reserved.

关键词： Controllers

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Measurement feedback control of nonlinear systems:a small-gain approach

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Journal of Control and Decision 2020年第1期7卷 64-89页

作者： Tengfei Liu Zhong-Ping Jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110004People’s Republic of China Department of Electrical and Computer Engineering New York UniversityBrooklynNYUSA

This paper presents a new tool for feedback control design of nonlinear systems in the presence of non-smooth measurement *** introduce a small-gain design approach to robust control of nonlinear uncertain systems with disturbed *** a design ingredient,a modified gain assignment technique for measurement feedback control of nonlinear uncertain systems is *** a recursive control design approach,the closed-loop system is transformed into a network of input-to-state stable(ISS)systems and the influences of the measurement errors are represented by ISS *** feedback control objective is achieved by applying the cyclic-small-gain theorem to the closed-loop ***,event-triggered control of nonlinear systems is studied in a unified framework of measurement feedback control.

关键词： Nonlinear systems measurement error nonlinear small-gain theorem input-to-state stability

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Deep self-organizing map neural networks for plantar pressure image segmentation employing marr-hildreth features

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International Journal of Ambient Computing and Intelligence 2021年第4期12卷 1-21页

作者： Han, Jianlin Wang, Dan Li, Zairan Shi, Fuqian Glorious Sun Guangdong School of Fashion Huizhou University Huizhou China Huidong Shoes Science and Technology Innovation Center Huizhou China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University China Wenzhou Polytechnic Wenzhou China Rutgers Cancer Institute of New Jersey New Brunswick United States

Using the plantar pressure imaging analysis method to realize the optimization design of shoe last is still relatively preliminary. The analysis and utilization of imaging data still have problems such as single processing, incomplete information acquisition, and poor processing model robustness. A deep self-organizing map neural network based on Marr-Hildreth filter (dSOM-wh) is developed in this research. The structure and learning algorithms were optimized by learning vector quantization (LVQ) and count propagation (CP). As a kind of Marr-Hildreth filter, Laplacian of Gaussian (LoG) was developed for the preprocessing. The proposed method performed high effectiveness in accuracy (AC) (92.88%), sensitive (SE) (0.8941), and f-measurement (F1) (0.8720) by comparing with ANN, CNN, SegNet, ResNet, and pre-trained inception-v neural networks. The classification-based plantar pressure biomedical functional zoning technologies have potential applications in the comfort shoe production industry. Copyright © 2021, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

关键词： Image segmentation

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A New Learning Paradigm for Stochastic Configuration Network: SCN+

arXiv

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arXiv 2022年

作者： Ao, Yanshuang Zhou, Xinyu Dai, Wei School Of Information And Control Engineering China University Of Mining And Technology Xuzhou221116 China State Key Laboratory Of Synthetical Automation For Process Industries Northeastern University Shenyang110819 China

Learning using privileged information (LUPI) paradigm, which pioneered teacher-student interaction mechanism, makes the learning models use additional information in training stage. This paper is the first to propose an incremental learning algorithm with LUPI paradigm for stochastic configuration network (SCN), named SCN+. This novel algorithm can leverage privileged information into SCN in the training stage, which provides a new method to train SCN. Moreover, the convergences have been studied in this paper. Finally, experimental results indicate that SCN+ indeed performs favorably. Copyright © 2022, The Authors. All rights reserved.

关键词： Stochastic systems

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TPE-Lasso-GBDT Method for BV-2 Cell Toxicity Classifier 7th

TPE-Lasso-GBDT Method for BV-2 Cell Toxicity Classifier

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7th International Conference on Life System Modeling and Simulation, LSMS 2021, and the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021

作者： Liu, Qing He, Dakuo Wang, Jinpeng Hou, Yue College of Information Science and Engineering Northeastern University Shenyang110819 China State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering Northeastern University Shenyang110819 China College of Life and Health Sciences Northeastern University Shenyang110169 China

ISBN: (纸本)9789811672125

Neuroinflammation mediated by microglia cells plays an important role in the pathogenesis of Alzheimer’s disease. Classification of the BV-2 cell toxicity is a significant stage in early drug discovery process. The prediction models based on computer aided drug design with rapid and high accuracy characteristics were widely applied in drug toxicity domain. In this study, BV-2 cell toxicity data set containing 191 compounds was collected from actual experimental results and relevant literature, which contains 63 nontoxicity and 128 toxicity compounds. This study faces the problems of data imbalance, low sample size and high dimension features. In order to solve these problems, this study proposes a TPE-Lasso-GBDT method for BV-2 cell toxicity classifier, of which, GBDT as BV-2 cell toxicity classifier based on boosting ensemble method, Tree Parzen Estimator (TPE) was used to optimize the model hyper-parameter so as to realize better performance of the model, Lasso feature selection method was used to eliminate redundant features. The validity of the proposed method was verified by comparative experiments. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Toxicity

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All-fiber flat-top orbital angular momentum mode converter realized by a SMF-based helical grating with phase modulation 6

All-fiber flat-top orbital angular momentum mode converter r...

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Real-time Photonic Measurements, Data Management, and processing VI 2021

作者： Zhu, Chengliang Wang, Lei Zhao, Yong Li, Hongpu College of Information Science and Engineering Northeastern University Shenyang110004 China State Key Laboratory for Integrated Automation of Process Industry Shenyang110004 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China Graduate School of the Engineering Shizuoka University Hamamatsu432-8561 Japan

ISBN: (数字)9781510646544

ISBN: (纸本)9781510646537

An all-fiber flat-top orbital angular momentum (OAM) mode convertor with ultra-wideband is numerically demonstrated, which is based on a helical long period fiber grating (HLPG) with phase modulation. The proposed phase-modulated HLPG is formed in a single mode fiber (SMF) and works at dispersion turning point. A flat-top OAM mode convertor with a bandwidth of ~371 nm and a conversion efficiency of ~100% has been successfully obtained. The temperature and strain effects on the proposed OAM mode convertor have been also theoretically investigated, respectively. The results show that the proposed phase-modulated HLPG based flat-top OAM mode convertor has a certain resistance to external temperature and strain changes, which will be beneficial to reduce its packaging cost and difficulty. The proposed device may find potential applications in the OAM mode division multiplexing (MDM) system combined with the wavelength division multiplexing (WDM) technique. © 2021 SPIE.

关键词： Single mode fibers

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Data-Driven Distributionally Robust Mixed-Integer Control through Lifted Control Policy

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IEEE Transactions on Automatic Control 2025年

作者： Ma, Xutao Ning, Chao Du, Wenli Shi, Yang Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China University of Victoria Department of Mechanical Engineering VictoriaBCV8W 3P6 Canada

This paper investigates the finite-horizon distributionally robust mixed-integer control (DRMIC) of uncertain linear systems. However, deriving an optimal causal feedback control policy to this DRMIC problem is computationally formidable for most ambiguity sets. To address the computational challenge, we propose a novel distributionally robust lifted control policy (DR-LCP) method to derive a high-quality approximate solution to this DRMIC problem for a rich class of Wasserstein metric-based ambiguity sets, including the Wasserstein ambiguity set and its variants. In theory, we analyze the asymptotic performance and establish a tight non-asymptotic bound of the proposed method. In numerical experiments, the proposed DR-LCP method empirically demonstrates superior performance compared with existing methods in the literature. ©1963-2012 IEEE.

关键词： Mixed-integer linear programming

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H∞ Control of Linear Uncertain Systems with Positivity Constraints

H∞ Control of Linear Uncertain Systems with Positivity Cons...

引用

Asian Control Conference

作者： Nachuan Yang Yuzhe Li Ling Shi Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong SAR State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

ISBN: (纸本)9781665491341

This paper fills the literature gap by considering the worst-case H ∞ performance of continuous-time positive linear systems with structured uncertainty. The necessary and sufficient conditions on the positivity of structured uncertain systems are characterized using second-order cone programming (SOCP). More specifically, we reformulate the worst-case H ∞ control problem as a min-max semidefinite programming (SDP) based on the extended bounded real lemma for positive systems. Then we equivalently transform the min-max SDP into an SDP with linear matrix inequality (LMI) constraints, which turns out to be a convex programming. Finally, we provide several simulations to verify the effectiveness of the proposed results.

关键词： Linear systems Uncertain systems Sufficient conditions Uncertainty Transforms H infinity control Programming

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Algorithm of Multi-Target Dynamic Path Search Decision Maker Based on Otcm Pattern Recognition Robot

SSRN

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SSRN 2022年

作者： Yang, Liu Zhang, Huaguang Sun, Jiayue Ming, Zhongyang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning Shenyang110004 China College of Information Science and Engineering Northeastern University Liaoning Shenyang110004 China

In wind farm robot equipment fault detection, the application of multi-objective dynamic path decision algorithm can simplify the operation process to improve detective efficiency and enhance accuracy. However, the algorithm has not been effectively popularized. Based on this, this study innovatively proposes the global scanning center method for optimal tracking to strengthen the tracking and monitoring speed of the robot and provide a convenient way for the application of multi-objective dynamic path decision algorithm. This method integrates the basic idea and operation mode of artificial intelligence immune algorithm to design and optimize the whole process monitoring path of wind farm fault monitoring. This paper uses principal component analysis method to transform the problem of multiple wind farms in the wind farm into a comprehensive index multivariate statistical analysis problem, so as to achieve the purpose of reduction. In addition, based on the optimal tracking center method (OTCM), the failure tracking mode of the controllable robot in the detection process is designed to minimize the feedback interval of the detection results. Finally, in order to test the rationality and effectiveness of the proposed method in practical application, a calculation example of random matrix positioning coordinates is introduced to verify it. © 2022, The Authors. All rights reserved.

关键词： Principal component analysis

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