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American control Conference

作者： Shuang Wu Ziyang Guo Dawei Shi Karl Henrik Johansson Ling Shi Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology 100081 China ACCESS Linnaeus Centre School of Electrical Engineering KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781509045839

The security issue in cyber-physical systems has attracted growing interests in the last decades. This paper considers how false data injection attack can degrade the estimation quality of a remote state estimation system. In this system, smart sensors measure a dynamic process and send preprocessed data through a communication network to a remote estimator to estimate the process. It is assumed that there are malicious attackers in the communication network, who are able to obtain and falsify all the data sent by the sensors. It is common that the remote estimator is equipped with a residue-based detector to detect potential attacks. We propose a class of deception attack and analyze its feasibility. We show that the proposed attack enables the attacker to inject false data into the remote estimator without being detected. We derive a criterion to judge the optimality of performance of this type of attack in the sense of maximizing the estimation error covariance. Furthermore, we find that a simple linear attack strategy, which flips the sign of intercepted signal, satisfies the optimality criterion. We present numerical examples to illustrate our theoretical results.

关键词： cyber-physical systems (CPS) deception attack remote state estimation

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The Box-Jenkins Steiglitz-McBride algorithm

The Box-Jenkins Steiglitz-McBride algorithm

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作者： Zhu, Yucai Hjalmarsson, Håkan State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Zheda Road 38 Hangzhou310027 China ACCESS Linnaeus Center Electrical Engineering KTH - Royal Institute of Technology StockholmS-100 44 Sweden

An algorithm for identification of single-input single-output Box-Jenkins models is presented. It consists of four steps: firstly a high order ARX model is estimated;secondly, the input-output data is filtered with the inverse of the estimated disturbance model;thirdly, the filtered data is used in the Steiglitz-McBride method to recover the system dynamics;in the final step, the noise model is recovered by estimating an ARMA model from the residuals of the third step. The relationship to other identification methods, in particular the refined instrumental-variable method, are elaborated upon. A Monte Carlo simulation study with an oscillatory system is presented and these results are complemented with an industrial case study. The algorithm can easily be generalized to multi-input single-output models with common denominator. © 2015 Elsevier Ltd. All rights reserved.

关键词： Monte Carlo methods

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Color centers induced by proton exposure in aluminum oxide hollow particles

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AIP Conference Proceedings 2018年第1期2051卷

作者： V. I. Iurina V. V. Neshchimenko M. M. Mikhailov Chundong Li 1Space Materials Laboratory Amur State University Blagoveshchensk 675027 Russia 2Radiation and Space Materials Laboratory Tomsk State University of Control Systems and Radio-Electronics Tomsk 634050 Russia 3Key Laboratory of Science and Technology on Material Performance Evaluating in Space Environment Harbin Institute of Technology Harbin 150001 PR China

The effects of proton (E = 100 keV, F = 54×1015 cm–2) exposure on the reflective spectra of Al2O3 hollow particles in wavelength range from 250 to 2500 nm have been investigated. Hollow particles were obtained by deposition nanoparticles on polystyrene balls in chitosan solution with subsequent heat treatment. X-ray photoelectron spectra of the material were analyzed for the O1s peak before and after irradiation. It has been established that radiation stability of the hollow particles is higher than that of Al2O3 microparticles. This effect is caused by the low concentration of color centers in the hollow particle due to lack of material in the bulk of particles.

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The global spectrum of tree crown architecture

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Nature Communications 2025年第1期16卷 1-16页

作者： Jucker, Tommaso Fischer, Fabian Jörg Chave, Jérôme Coomes, David A. Caspersen, John Ali, Arshad Loubota Panzou, Grace Jopaul Feldpausch, Ted R. Falster, Daniel Usoltsev, Vladimir A. Jackson, Toby D. Adu-Bredu, Stephen Alves, Luciana F. Aminpour, Mohammad Angoboy Ilondea, Bhely Anten, Niels P. R. Antin, Cécile Askari, Yousef Ayyappan, Narayanan Banin, Lindsay F. Barbier, Nicolas Battles, John J. Beeckman, Hans Bocko, Yannick E. Bond-Lamberty, Ben Bongers, Frans Bowers, Samuel van Breugel, Michiel Chantrain, Arthur Chaudhary, Rajeev Dai, Jingyu Dalponte, Michele Dimobe, Kangbéni Domec, Jean-Christophe Doucet, Jean-Louis Dupuy Rada, Juan Manuel Duursma, Remko A. Enríquez, Moisés van Ewijk, Karin Y. Farfán-Rios, William Fayolle, Adeline Ferretti, Marco Forni, Eric Forrester, David I. Gilani, Hammad Godlee, John L. Haeni, Matthias Hall, Jefferson S. He, Jie-Kun Hemp, Andreas Hernández-Stefanoni, José L. Higgins, Steven I. Holdaway, Robert J. Hussain, Kiramat Hutley, Lindsay B. Ichie, Tomoaki Iida, Yoshiko Jiang, Hai-Sheng Joshi, Puspa Raj Kaboli, Hasan Kazempour Larsary, Maryam Kenzo, Tanaka Kloeppel, Brian D. Kohyama, Takashi S. Kunwar, Suwash Kuyah, Shem Kvasnica, Jakub Lin, Siliang Lines, Emily R. Liu, Hongyan Lorimer, Craig Loumeto, Jean-Joël Malhi, Yadvinder Marshall, Peter L. Mattsson, Eskil Matula, Radim Meave, Jorge A. Mensah, Sylvanus Mi, Xiangcheng Momo, Stéphane T. Moncrieff, Glenn R. Mora, Francisco Muñoz, Rodrigo Nissanka, Sarath P. Nur Hajar, Zamah Shari O’Hara, Kevin L. Pearce, Steven Pelissier, Raphaël Peri, Pablo L. Ploton, Pierre Poorter, Lourens Pour, Mohsen Javanmiri Pourbabaei, Hassan Ribeiro, Sabina C. Ryan, Casey Sanaei, Anvar Sanger, Jennifer Schlund, Michael Sellan, Giacomo Shenkin, Alexander Sonké, Bonaventure Sterck, Frank J. Svátek, Martin Takagi, Kentaro Trugman, Anna T. Vadeboncoeur, Matthew A. Valipour, Ahmad Vanderwel, Mark C. Vovides, Alejandra G. Waldner, Peter Wang, Weiwei Wang, Li-Qiu Wirth, Christian Woods, Murray Xiang, Wenhua de Aquino Ximenes, Fabiano Xu, Yaozhan Yamada, Toshihi School of Biological Sciences University of Bristol Bristol BS8 1TQ United Kingdom UMR5300 Centre de Recherche sur la Biodiversité et l’Environnement CNRS INPT IRD Université de Toulouse Bât 4R1 118 route de Narbonne Toulouse 31062 France Conservation Research Institute University of Cambridge Cambridge CB2 3EA United Kingdom Institute of Forestry and Conservation University of Toronto 33 Willcocks Street Toronto M5S 3B3 ON Canada Forest Ecology Research Group College of Life Sciences Hebei University Hebei Baoding 071002 China Institut Supérieur des Sciences Géographiques Environnementales et de l’Aménagement (ISSGEA) Université DENIS SASSOU-N’GUESSO Kintélé Congo Laboratoire de Biodiversité de Gestion des Ecosystèmes et de l’Environnement (LBGE) Faculté des Sciences et Techniques Université Marien NGOUABI BP 69 Brazzaville Brazzaville Congo Faculty of Environment Science and Economy University of Exeter Exeter EX4 4QE United Kingdom Evolution & Ecology Research Centre University of New South Wales Sydney Sydney NSW Australia Department of Forest Mensuration and Management Ural State Forest Engineering and Economic University Yekaterinburg Russian Federation Forestry Research Institute of Ghana Council for Scientific and Industrial Research University Kumasi Ghana Center for Tropical Research Institute of the Environment and Sustainability University of California Los Angeles Los Angeles CA United States Natural Recourses and Watershed Management Office West Azerbaijan Province Urmia Iran Institut National pour l’Etude et la Recherche Agronomiques Kinshasa BP 2037 Democratic Republic Congo Université Pédagogique Nationale Kinshasa-Ngaliema BP 8815 Democratic Republic Congo Center for Crop Systems Analysis Wageningen University & Research Wageningen Netherlands AMAP lab Montpellier University IRD CIRAD CNRS INRAE Montpellier France Research Division of Natural Resources Kohgiluyeh and Boyerahmad Agriculture and Natural Resources Resea

Trees can differ enormously in their crown architectural traits, such as the scaling relationships between tree height, crown width and stem diameter. Yet despite the importance of crown architecture in shaping the structure and function of terrestrial ecosystems, we lack a complete picture of what drives this incredible diversity in crown shapes. Using data from 374,888 globally distributed trees, we explore how climate, disturbance, competition, functional traits, and evolutionary history constrain the height and crown width scaling relationships of 1914 tree species. We find that variation in height–diameter scaling relationships is primarily controlled by water availability and light competition. Conversely, crown width is predominantly shaped by exposure to wind and fire, while also covarying with functional traits related to mechanical stability and photosynthesis. Additionally, we identify several plant lineages with highly distinctive stem and crown forms, such as the exceedingly slender dipterocarps of Southeast Asia, or the extremely wide crowns of legume trees in African savannas. Our study charts the global spectrum of tree crown architecture and pinpoints the processes that shape the 3D structure of woody ecosystems. © The Author(s) 2025.

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Weighted H-index for identifying influential spreaders

arXiv

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arXiv 2017年

作者： Yu, Senbin Gao, Liang Wang, Yi-Fan Gao, Ge Zhou, Congcong Gao, Zi-You Institute of Transportation Systems Science and Engineering Moe Key Laboratory of Urban Transportation System Theory and Technology State Key Laboratory of Rail Traffic Control and Safety Center of Cooperative Innovation for Beijing Metropolitan Transportation Beijing Jiaotong University Beijing100044 Yinchuan Municipal Bureau of Big Data Management and Service Yinchuan750011

Spreading is a ubiquitous process in the social, biological and technological systems. Therefore, identifying influential spreaders, which is important to prevent epidemic spreading and to establish effective vaccination strategies, is full of theoretical and practical significance. In this paper, a weighted h-index centrality based on virtual nodes extension is proposed to quantify the spreading influence of nodes in complex networks. Simulation results on real-world networks reveal that the proposed method provides more accurate and more consistent ranking than the five classical methods. Moreover, we observe that the monotonicity and the computational complexity of our measure can also yield excellent performance. Copyright © 2017, The Authors. All rights reserved.

关键词： Complex networks

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Robustcontrol of Discrete-time Singular systems via Integral Sliding Surface

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Asian Journal of control 2017年第3期20卷

作者： Jianjun Bai Renquan Lu Zhengguang Wu Ridong Zhang Xiaodong Zhao Anke Xue Key Lab for IOT and Information Fusion Technology of Zhejiang Institute of Information and Control Hangzhou Dianzi University Hangzhou 310018 China National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Zhejiang 310027 China

In this paper, the sliding mode control for a class of uncertain discrete-time singular system with performance constraint is studied. By taking the singular matrix E into consideration, a new type of integral sliding mode surface is firstly introduced, based on which a sufficient condition is derived to guarantee the sliding mode dynamics admissible with a given γ -level disturbance attenuation of the unmatched disturbance. A controller law is also given to keep the system trajectory staying in a neighborhood of the ideal sliding surface. Finally, a numerical example is given to show the effectiveness of the proposed approach.

关键词： Discrete-time singular system integral sliding surface control

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Data-Based Robust control for Unknown Nonlinear systems 35

Data-Based Robust Control for Unknown Nonlinear Systems

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第35届中国控制会议

作者： YANG Xiong LIU Derong WEI Qinglai School of Electrical Engineering and Automation Tianjin University School of Automation and Electrical Engineering University of Science and Technology Beijing The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

ISBN: (纸本)9781509009107

In this paper, we develop a data-based robust control method for a class of unknown nonlinear systems with input constraints. First, we transform the robust control problem into a constrained optimal control problem by introducing a value function for the nominal system. Then, under the framework of integral reinforcement learning, we construct an actor-critic architecture to approximately solve the constrained optimal control problem. Based on the present architecture, we only require system data rather than the availability of full/partial prior knowledge of system dynamics. In addition, by using Lyapunov's direct method, we prove that the obtained approximate optimal control can guarantee the unknown nonlinear system to be uniformly ultimately bounded. Finally, we provide an example to illustrate the effectiveness of the developed method.

关键词： Constrained input Integral reinforcement learning Nonlinear systems Optimal control Robust control

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A new evaluation protocol and benchmarking results for extendable cross-media retrieval

arXiv

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arXiv 2017年

作者： Liu, Ruoyu Zhao, Yao Zheng, Liang Wei, Shikui Yang, Yi Institute of Information Science Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Institute of Information Science Beijing Jiaotong University Beijing100044 China Centre for Quantum Computation and Intelligent Systems University of Technology SydneyNSW Australia

This paper proposes a new evaluation protocol for cross-media retrieval which better fits the real-word applications. Both image-text and text-image retrieval modes are considered. Traditionally, class labels in the training and testing sets are identical. That is, it is usually assumed that the query falls into some pre-defined classes. However, in practice, the content of a query image/text may vary extensively, and the retrieval system does not necessarily know in advance the class label of a query. Considering the inconsistency between the real-world applications and laboratory assumptions, we think that the existing protocol that works under identical train/test classes can be modified and improved. This work is dedicated to addressing this problem by considering the protocol under an extendable scenario, i.e., the training and testing classes do not overlap. We provide extensive benchmarking results obtained by the existing protocol and the proposed new protocol on several commonly used datasets. We demonstrate a noticeable performance drop when the testing classes are unseen during training. Additionally, a trivial solution, i.e., directly using the predicted class label for cross-media retrieval, is tested. We show that the trivial solution is very competitive in traditional non-extendable retrieval, but becomes less so under the new settings. The train/test split, evaluation code, and benchmarking results are publicly available on our website1. Copyright © 2017, The Authors. All rights reserved.

关键词： Benchmarking

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Distributed kalman filter in a network of linear dynamical systems

arXiv

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arXiv 2017年

作者： Marelli, Damián Zamani, Mohsen Fu, Minyue Department of Control Science and Engineering State Key Laboratory of Industrial Control Technology Zhejiang University 388 Yuhangtang Road Hangzhou Zhejiang Province310058 French-Argentinean International Center for Information and Systems Sciences National Scientific and Technical Research Council Ocampo Esmeralda Rosario2000 Argentina School of Electrical Engineering and Computer Science University of Newcastle University Drive CallaghanNSW2308 Australia

This paper is concerned with the problem of distributed Kalman filtering in a network of interconnected subsystems with distributed control protocols. We consider networks, which can be either homogeneous or heterogeneous, of linear time-invariant subsystems, given in the state-space form. We propose a distributed Kalman filtering scheme for this setup. The proposed method provides, at each node, an estimation of the state parameter, only based on locally available measurements and those from the neighbor nodes. The special feature of this method is that it exploits the particular structure of the considered network to obtain an estimate using only one prediction/update step at each time step. We show that the estimate produced by the proposed method asymptotically approaches that of the centralized Kalman filter, i.e., the optimal one with global knowledge of all network parameters, and we are able to bound the convergence rate. Moreover, if the initial states of all subsystems are mutually uncorrelated, the estimates of these two schemes are identical at each time step. Copyright © 2017, The Authors. All rights reserved.

关键词： Kalman filters

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An integrated design for batch process using optimal average profit control with unfixed terminal time

An integrated design for batch process using optimal average...

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Chinese control Conference (CCC)

作者： Pengcheng Lu Lei Xie Junghui Chen Hongye Su Institute of Cyber-Systems and Control National Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou Zhejiang CN Chung Yuan Christian University Chung Li TW

ISBN: (纸本)9781509009107

Batch processes are flexible to meet the needs of the fluctuated market and have become very important in the modern chemical industry. Two-level control structure is widely adjusted in the operation of batch process. The higher level is the end-point property control and the low level tracks the time-varying reference trajectories designed by the high level. The two-level control structure does not take the dynamics of the low level into consideration in the high level that the low level cannot track the given trajectories perfectly because of model-plant mismatches. Also, this structure does not take the duration of the batch process into consideration which may lead to economic loss in the end. An integrated control structure is proposed in this paper to deal with the drawbacks of two-level structure. Also, different from the traditional objective of the high level, it is a pure economic objective in the integrated control structure using average profit criteria. In order to gain higher economic performance, the predictive horizon is relaxed here to achieve larger feasible region.

关键词： Bellows Economics

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