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arXiv 2023年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Hong, Yiguang Chai, Tianyou Johansson, Karl H. Lab for Information & Decision Systems Massachusetts Institute of Technology CambridgeMA02139 United States Department of Control Science and Engineering College of Electronics and Information Engineering Tongji University Shanghai201804 China Shanghai Research Institute for Intelligent Autonomous Systems China The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Digital Futures Stockholm10044 Sweden

This paper considers distributed online convex optimization with adversarial constraints. In this setting, a network of agents makes decisions at each round, and then only a portion of the loss function and a coordinate block of the constraint function are privately revealed to each agent. The loss and constraint functions are convex and can vary arbitrarily across rounds. The agents collaborate to minimize network regret and cumulative constraint violation. A novel distributed online algorithm is proposed and it achieves an O(T max{c,1−c}) network regret bound and an O(T 1−c/2) network cumulative constraint violation bound, where T is the number of rounds and c ∈ (0, 1) is a user-defined trade-off parameter. When Slater’s condition holds (i.e, there is a point that strictly satisfies the inequality constraints), the network cumulative constraint violation bound is reduced to O(T 1−c). Moreover, if the loss functions are strongly convex, then the network regret bound is reduced to O(log(T)), and the network cumulative constraint violation bound is reduced to O(√log(T)T) and O(log(T)) without and with Slater’s condition, respectively. To the best of our knowledge, this paper is the first to achieve reduced (network) cumulative constraint violation bounds for (distributed) online convex optimization with adversarial constraints under Slater’s condition. Finally, the theoretical results are verified through numerical simulations. Copyright © 2023, The Authors. All rights reserved.

关键词： Economic and social effects

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SOS-based secure consensus control for stochastic nonlinear MASs against multiple DoS attacks

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Applied Mathematics and Computation 2025年 507卷

作者： Zhen Zhang Wei-Wei Che School of Automation Shandong Key Laboratory of Industrial Control Technology Qingdao University Qingdao 266071 Shandong China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 Liaoning China College of Information Science and Engineering Northeastern University Shenyang 110819 Liaoning China

This paper investigates the fully distributed fuzzy secure consensus control problem for stochastic nonlinear multi-agent systems (MASs). A polynomial fuzzy model is applied to reconstruct the system dynamics for a class of nonlinear MASs described by the I t o ˆ differential equation. The asynchronous denial-of-service (DoS) attack is considered that occurs independently across communication channels between the agents. Then, a novel fuzzy secure control protocol is developed to achieve the consensus task and resist the effect of the DoS attack. Meanwhile, the control protocol is fully distributed without relying on the global information of the Laplace matrix, and its adaptive parameter is membership-function-dependent, which is more flexible. Then, a non-parallel distributed compensation method is used to deal with the mismatch problem of the membership function between the fuzzy control protocol and the fuzzy system. In addition, several mean-square bounded convergence criteria in the form of the sum-of-squares for the secure tracking error are obtained by constructing the piecewise Lyapunov functions. Finally, the feasibility of the theoretical results is verified by the simulation example and the comparative analysis.

关键词： Denial-of-service attack Fully distributed fuzzy secure control Polynomial fuzzy model Stochastic nonlinear multi-agent system Sum-of-squares

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Preparation and Sensing Characteristics of Double-Layer Spring Fabry-Perot Pressure Sensor Based on Two-Photon Polymerization 3D Printing

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Guangxue Xuebao/Acta Optica Sinica 2025年第7期45卷 275-284页

作者： Chen, Maoqing Zhang, Chi Qiao, Shouzheng He, Yiyang Liu, Yingxuan Zhao, Yong School of Control Engineering Northeastern University at Qinhuangdao Hebei Qinhuangdao066004 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning Shenyang110004 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Hebei Qinhuangdao066004 China

Objective In the initial diagnosis of prostate cancer, digital rectal examination is usually the preferred method. However, due to the high subjectivity of the test, more objective and accurate tools are needed to evaluate and predict the development of prostate cancer. To address this, we propose a double-layer spring Fabry-Perot (FP) pressure sensor based on femtosecond laser two-photon polymerization 3D printing technology, which is prepared on the fiber end face for mechanical characterization of prostate cancer lesions. Unlike the traditional single-layer spring structure, the sensor adopts a double-layer spring structure, with the double-layer springs spliced together. This design ensures high sensitivity while also offering a large pressure detection range, solving the problem where the single-layer spring structure is either too long, affecting sensitivity, or too short, making it prone to breaking. The double-layer spring FP pressure sensor is compact and highly sensitive, with pressure detection resolution reaching the nN level. It can serve as a stable and reliable force sensor for the early diagnosis of prostate cancer. Methods The structure of the double-layer spring FP pressure sensor is designed using COMSOL software, and the parameters affecting the performance of the sensor are simulated and analyzed to achieve a balance between high sensitivity and a high development success rate. After designing the sensor structure, it is fabricated using femtosecond laser two-photon polymerization 3D printing technology. First, the fiber end face is preprocessed. The processed optical fiber is then placed in the fixture, and the fixture is fixed in the printing device. Next, the photoresist is dropped onto the center of the lens, and the micro-displacement platform is used to control the position of the optical fiber. The optical fiber core is aligned with the center of the lens through the program. After that, the processed model file is exported to NanoWrite s

关键词： Fiber optic sensors

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Submodularity-based sensor scheduling for state estimation among multiple linear dynamical systems

Submodularity-based sensor scheduling for state estimation a...

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Jiangsu Annual Conference on automation (JACA 2022)

作者： Y. Ni C. Yang X. Liu X. Luan F. Liu The Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Engineering Jiangnan University Wuxi People's Republic of China The Key Laboratory of Smart Manufacturing in Energy Chemical Process (Ministry of Education) Department of Automation East China University of Science and Technology Shanghai People's Republic of China Department of Radiology Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital/Harvard Medical School Boston USA

In this paper we focus on the sensor scheduling for dynamic state estimation among multiple processes. Multiple sensors transmit their measurements to the remote estimator via a shared wireless channel. Only a subset of sensors are allowed to transmit at each time. The objective of the scheduler is to maximize a linear combination of the terminal time estimation error covariances in a log-determinant sense. We develop conditions under which the objective is monotone and submodular. A submodularity-based greedy scheduling algorithm is proposed, and its performance bound is provided. Numerical examples are presented to illustrate the theoretical findings.

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Nonlinear unmanned aerial vehicle formation control via composite Laplacian quadratics

Advanced Control for Applications: Engineering and Industria...

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Advanced control for Applications: engineering and Industrial Systems 2020年第2期2卷

作者： Jing, Peng Chen, Fei State Key Laboratory of Synthetical Automation for Process Industries Northeastern University China School of Control Engineering Northeastern University at Qinhuangdao China

This article studies a leader-following formation control problem, in which the agent model is governed by continuous-time nonlinear differential equations. We are interested in designing a distributed control algorithm which is capable of handling the strong nonlinearities induced by the unmanned aerial vehicle model. Our primary objective is to investigate the convergence of the corresponding closed-loop system, and to understand how the nonlinear dynamics and the network topologies may impose intrinsic barriers on formation control. The results show that an exponential convergence is guaranteed under the proposed algorithm via the composite Laplacian quadratics function as long as the network topology has a directed spanning tree. © 2020 John Wiley & Sons, Ltd.

关键词： Network topology

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Parallel Temporal and Spatial Modeling for Interpretable Fault Detection and Isolation of Industrial processes

Parallel Temporal and Spatial Modeling for Interpretable Fau...

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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Pengyu Song Chunhui Zhao Jinliang Ding Youxian Sun Xuanxuan Jin State Key Laboratory of Industrial Control Technology (College of Control Science and Engineering) Zhejiang University Hangzhou China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Zhejiang Zheneng Jiahua Power Generator Co. Ltd. Hangzhou China

ISBN: (纸本)9781665402460

The structure of modern industrial processes has been gradually complicated to adapt to diversified production requirements. process variables generally have temporal characteristics. Meanwhile, complex spatial interactions between variables also pose challenges for process modeling. In this study, a parallel temporal and spatial feature extraction framework is proposed and applied to fault detection and isolation in industrial processes. On the one hand, unlike the existing methods with mixed spatiotemporal information, we design independent temporal and spatial modeling structures. The temporal characteristics of each process variable are simultaneously extracted in the designed temporal submodule. Furthermore, the spatial connections between variables are captured through sparse adjacency network extraction and information fusion. In this way, the temporal and spatial information can be individually observed to provide interpretable monitoring results. On the other hand, considering the different spatiotemporal anomalies caused by various fault types, we establish a targeted isolation strategy to provide reliable fault analysis. For temporal faults, the reconstruction error indicators are designed to quantify the abnormality of the variable. Moreover, a network reconstruction model is developed to measure the spatial structure deviation and locate the fault source. The performance of the proposed method is verified through a real industrial example.

关键词： Sensitivity process modeling Fault detection Computational modeling Production Feature extraction Real-time systems

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Global Asymptotic Stability Analysis for Autonomous Optimization

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IEEE Transactions on Automatic control 2025年

作者： Jin, Zhenghong Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore

This paper studies the feedback optimization problem for nonlinear systems. In particular, we assume that the controlled plant admits a global asymptotic stable equilibrium corresponding to each fixed reference input and consider a modified gradient-flow optimizer augmented with a nonlinear perturbation function. With the output map of the controlled plant satisfying a linear growth condition, this paper proves the existence of a perturbation function such that the resulting feedback optimization system is globally asymptotically stable at the desired equilibrium. The proof is based on the seamless integration of tools from the singular perturbation theory, input-to-state stability (ISS), and the nonlinear small-gain theorem. The possibility of extending the proposed approach to other optimizers is also discussed. Three numerical examples are employed to verify the effectiveness of the proposed method. © 1963-2012 IEEE.

关键词： Perturbation techniques

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Classification on Point-cloud of Shoe-last Curvature using Weight-updated Boosting based Ensemble Learning

Classification on Point-cloud of Shoe-last Curvature using W...

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IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Zairan Li Dan Wang Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University PR China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

Optimizing the curvature shape of shoe last is an important research content and a promising direction in current shoe-last design. The emergence of plantar pressure imaging method provided a new technical mean for shoe-last design. The point-cloud dataset was acquired from the plantar pressure experiments which may be used for generating comfort shoe-last curvature, and the key zones on last curvature may be classified and has potential benefit to the designers to produce comfort shoe. In this paper ensemble learning technologies are applied for classifying those points through the proposed weights-updated algorithms. The proposed weights-updated algorithm with boosting operation performed high effectiveness by comparing to k-NN, random forest (RF) and Bayers (NB) in classification accuracy. The proposed boosting based ensemble learning method will be potential applied in interactive design of industry and be beneficial to produce comfort shoes.

关键词： Training Machine learning algorithms Footwear Boosting Classification algorithms Statistics Unsupervised learning

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Passive mechanical realizations of bicubic impedances with no more than five elements for inerter-based control design

arXiv

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arXiv 2021年

作者： Wang, Kai Chen, Michael Z.Q. Key Laboratory of Advanced Process Control for Light Industry Ministry of Education School of Internet of Things Engineering Jiangnan University Wuxi214122 China School of Automation Nanjing University of Science and Technology Nanjing210094 China

This paper mainly investigates the passive realization problems of bicubic (third-order) impedances as damper-spring-inerter networks consisting of no more than five elements. First, the special case where a bicubic impedance contains a pole or a zero on the imaginary axis or at infinity is discussed. Then, assuming that there is no pole or zero on the imaginary axis or at infinity, the realizations of bicubic impedances as five-element networks are investigated. Necessary and sufficient conditions for the realizability as five-element series-parallel networks and as five-element non-series-parallel networks are derived, respectively, where 22 series-parallel configurations and 11 non-series-parallel configurations are presented to cover the conditions. Finally, two numerical examples together with positive-real controller designs for a quarter-car suspension system are presented for illustrations. The results of this paper can contribute to the synthesis of low-complexity passive mechanical (or electrical) networks, which are motivated by the synthesis and design of inerter-based vibration control systems. Copyright © 2021, The Authors. All rights reserved.

关键词： Poles

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Preface

Lecture Notes in Control and Information Sciences

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Lecture Notes in control and Information Sciences 2023年 492卷 v-vi页

作者： Luan, Xiaoli He, Shuping Liu, Fei Key Laboratory of Advanced Process Control for Light Industry [Ministry of Education Institute of Automation Jiangnan University Jiangsu Wuxi China Key Laboratory of Intelligent Computing and Signal Processing [Ministry of Education School of Electrical Engineering and Automation Anhui University Anhui Hefei China

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