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Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process

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IEEE/CAA Journal of Automatica Sinica 2021年第8期8卷 1465-1476页

作者： Donglei Zheng Le Zhou Zhihuan Song State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Automation and Electrical Engineering Zhejiang University of Science&TechnologyHangzhou 310023China

In practical process industries,a variety of online and offline sensors and measuring instruments have been used for process control and monitoring purposes,which indicates that the measurements coming from different sources are collected at different sampling *** build a complete process monitoring strategy,all these multi-rate measurements should be considered for data-based modeling and *** this paper,a novel kernel multi-rate probabilistic principal component analysis(K-MPPCA)model is proposed to extract the nonlinear correlations among different sampling *** the proposed model,the model parameters are calibrated using the kernel trick and the expectation-maximum(EM)***,the corresponding fault detection methods based on the nonlinear features are ***,a simulated nonlinear case and an actual pre-decarburization unit in the ammonia synthesis process are tested to demonstrate the efficiency of the proposed method.

关键词： Fault detection kernel method multi-rate process probability principal component analysis(PPCA)

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Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments 13

Exchange Strategies for Multi-Colony Ant Algorithms in Dynam...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Mavrovouniotis, Michalis Li, Changhe Yazdani, Danial Handjimitsis, Diofantos Eratosthenes Centre of Excellence Limassol Cyprus Cyprus University of Technology Department of Civil Engineering and Geomatics Limassol Cyprus School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China University of Technology Sydney Faculty of Engineering & Information Technology Sydney Australia

ISBN: (纸本)9798350308365

In dynamic optimization problems where optimal solutions change over time, traditional ant colony optimization (ACO) algorithms face limitations. This study explores the adaptation of multi-colony ACO algorithms, known for their enhanced search capabilities in stationary problems, to tackle optimization problems in dynamic environments. Various strategies for exchanging information between colonies, which is a critical factor influencing algorithm performance, are investigated. Using the dynamic traveling salesman problem as a foundation, we generate test cases to reflect real-world complexities. Our results on a set of problem instances reveal that the choice of communication strategy between colonies significantly impacts the adaptability and efficiency of multi-colony ACO algorithms in tracking moving optimum. © 2024 IEEE.

关键词： Ant colony optimization

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Distributed Neighbor Selection on Matrix-weighted Networks 38

Distributed Neighbor Selection on Matrix-weighted Networks

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38th Youth Academic Annual Conference of Chinese Association of automation, YAC 2023

作者： Wei, Haoyu Pan, Lulu Shao, Haibin Li, Dewei Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

ISBN: (纸本)9798350303636

This paper explores distributed neighbor selection in matrix-weighted networks, where a matrix-valued weight captures the interdependencies among agents' states. We demonstrate the feasibility of preserving and, in certain cases, improving the convergence rate of matrix-weighted networks by having agents exclusively engage with a subset of their neighbors. Leveraging the inherent monotonicity of Laplacian matrix eigenvectors, we introduce a novel neighbor selection criterion that reduces network connections while enhancing convergence rates. Existing neighbor selection strategies often require acquiring information from all nodes before making decisions. In order to propose a distributed neighbor selection strategy for matrix-weighted networks, we establish a numerical relationship between Laplacian eigenvectors and a locally measurable metric. In essence, this paper extends prior findings from scalar-weighted networks to matrix-weighted networks. © 2023 IEEE.

关键词： convergence rate Distributed neighbor selection Laplacian matrix matrix-weighted networks

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Bifurcation control and circuit simulation of a fractional-order synthetic gene networks 41

Bifurcation control and circuit simulation of a fractional-o...

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第41届中国控制会议

作者： Feng Liu Feiyue Zhuo Shujiang Sun Zhi-Hong Guan Hua O Wang School of Automation China University of Geosciences Engineering Research Center of Ministry of education for intelligent technology of earth exploration Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Artificial Intelligence and Automation Department of Mechanical Engineering Boston University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper presents a ring synthetic gene network model described by fractional differential equations,studies the conditions of Hopf bifurcation in the model,and discusses the limit cycle oscillation phenomenon due to the existence of bifurcation,which causes the system to become unstable,and then We propose a method to control the bifurcation behavior in the system,so that the system can be stable over a large *** addition,the dynamic behavior of the fractional-order model is simulated by triggering a genetic oscillator(a single inhibitory gene) composed of a transistor composed of linear and nonlinear electronic *** circuit simulation results well verify the theoretical analysis conclusion,and the circuit simulation model can well demonstrate the biological characteristics of gene regulatory networks.

关键词： Synthetic gene networks fractional-order bifurcation control circuit simulation

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Stage-cost design for optimal and model predictive control of linear port-Hamiltonian systems: Energy efficiency and robustness

Stage-cost design for optimal and model predictive control o...

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93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2023

作者： Şen, Gökçen Devlet Schaller, Manuel Worthmann, Karl Optimization-based Control Group Institute of Mathematics Technische Universität Ilmenau Ilmenau Germany Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

We consider singular optimal control of port-Hamiltonian systems with minimal energy supply. We investigate the robustness of different stage-cost designs w.r.t. time discretization and show that alternative formulations that are equivalent in continuous time, differ strongly in view of discretization. Furthermore, we consider the impact of additional quadratic control regularization and demonstrate that this leads to a considerable increase in energy consumption. Then, we extend our results to the tracking problem within model predictive control and show that the intrinsic but singular choice of the cost functional as the supplied energy leads to a substantial improvement of the closed-loop performance. © 2023 The Authors. Proceedings in Applied Mathematics & Mechanics published by Wiley-VCH GmbH.

关键词： Model predictive control

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Spacecraft Integrated Pose Determination with Unknown Noise Covariances

Spacecraft Integrated Pose Determination with Unknown Noise ...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Chen, Hang Hu, Qinglei Wu, Huai-Ning Duan, Chao Chen, Bin Zhang, Peng School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beihang Hangzhou Innovation Institute Yuhang Hangzhou310023 China Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Peng Cheng Laboratory Shenzhen518000 China Beijing Institute of Control Engineering Beijing100094 China

ISBN: (纸本)9789811966125

A novel robust unscented Kalman filter (UKF) is developed for orbiting spacecraft pose determination without knowing prior noise statistical characteristics by using dual quaternion formulation. First, an adjustment coefficient multiplied by a predesigned positive definite matrix is updated iteratively for the process noise covariance adaptation and the moving window of the measurement innovation are adopted for the measurement noise covariance estimation. Then, the adaptation method is incorporated into the dual-quaternion-based UKF procedure where the dual modified Rodrigues parameters (MRPs) are adopted for sigma points description to avoid violating the quaternion normalization constraint. Finally, the effectiveness and practical usefulness of the developed algorithm are verified via numerical simulation examples. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Covariance matrix

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Unilateral payoff control is infeasible in network attack-defense interactions

Unilateral payoff control is infeasible in network attack-de...

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2024 China automation Congress, CAC 2024

作者： Zhao, Kaiwen Xia, Yu Su, Qi Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798350368604

Network resilience generally refers to the ability of a network to maintain normal operation in the face of various failures and disturbances, which has many applications in social, financial, communication, and transportation systems. There is a large amount of research on designing strategies to disrupt the network from the perspective of attack and to protect the network from the defense standpoint. However, attacks and defenses in the real world often occur simultaneously and repeatedly. The study of network resilience should not be limited to the structural characteristics but should consider the functional characteristics of the network. We develop a general game-theoretic framework to study attack-defense repeated interactions on complex networks and examine the possibility of achieving precise control over the payoffs of attackers and defenders. Our findings reveal that neither the attacker nor the defender can unilaterally control their own payoff, the opponent’s payoff, or any linear combination thereof. This work highlights the limitations of unilateral payoff control in real-world interaction scenarios, a consideration often overlooked in numerous theoretical studies. © 2024 IEEE.

关键词： Economic and social effects

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Single-pixel detection based tracking of multiple moving objects using window geometric moment

Single-pixel detection based tracking of multiple moving obj...

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2024 China automation Congress, CAC 2024

作者： Wang, Ao Yang, Zhao-Hua Wu, Qing-Fan Tang, Bo Zhou, Shuai-Jun Shi, Yang-Yang School of Instrumentation and Optoelectronic Engineering Beihang University Beijing China School of Automation Beijing Institute of Technology Beijing China Beijing Aerospace Automatic Control Institute Beijing100854 China

ISBN: (纸本)9798350368604

Fast localization and tracking of multi-targets is of great significance in many fields such as guidance, area surveillance, and unmanned aerial vehicle detection, etc. Benefiting from the unique mechanism of single-pixel imaging, a single-pixel detection based tracking method with windowed geometrical moment detection is proposed to achieve fast multiple objects tracking. Fourier slice pattern is utilized to obtain a one-dimensional projection of the scene and design the window function, which is combined with zero-order geometric moment patterns to obtain the region of the multi-target at first. In the subsequent frame tracking, the window function of each target is combined with the three geometric moments patterns to obtain the center of mass position, and the window function is updated to realize the matching correlation, and the sampling rate can be as low as 0.0034%, which greatly reduces the sampling time to achieve fast tracking. With a modulated frame rate of 20kHz, tracking can be done at frame rates up to 2200 Hz. While the window overlaps, the window transformation, and multi-directional Fourier slice segmentation method are designed to solve the tracking error. A background subtraction method is applied in complex backgrounds. The simulations of a scene with a spatial resolution of 512 X 512 pixels are performed, and the results show that the proposed method tracks the localization of three targets with an error of less than one pixel in both horizontal and vertical directions. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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CBLN: A User Behavior Prediction Model Considering Content Correlation

CBLN: A User Behavior Prediction Model Considering Content C...

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2024 China automation Congress, CAC 2024

作者： Deng, Yayin Liu, Xiaobo He, Lianyi Peng, Yongcheng Yu, Qizheng Wang, Shoucong School of Automation China University of Geosciences Wuhan430074 China Hubei Key Lab of Advanced Control and Intelligent Automation China University of Geosciences Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9798350368604

The core of user behavior prediction is Click-through Rate (CTR) prediction, which requires deep analysis of user actions such as clicks and browse. It is crucial to model user behavior sequences, content attributes, and user attributes to understand user preferences and improve CTR prediction accuracy. While many CTR prediction models are based on historical behavior sequences, most treat historical behavior representations merely as preferences, neglecting the representation of correlations between users and content. To address this, we propose a new model called the Correlated Behavior Learning Network (CBLN), for the task of user behavior prediction. This model includes a User Behavior Tracking Network (UBTN) and a Content Relevance Network (CRN), which dynamically modeling the evolution of user preferences related to target content and introduce content relevance to more comprehensively capture user behavior, thus more accurate predictions of user behavior can be made. We conducted extensive experiments on two public datasets to validate the effectiveness of our model, and the results showed that our proposed model achieved better performance than many complex CTR prediction models. © 2024 IEEE.

关键词： Prediction models

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Exact controllability of rational expectations model with multiplicative noise and input delay

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Journal of automation and Intelligence 2024年第1期3卷 19-25页

作者： Wenjing Wang Juanjuan Xu Huanshui Zhang Minyue Fu School of Control Science and Engineering Shandong UniversityJinan 250061China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China

This paper considers the rational expectations model with multiplicative noise and input delay,where the system dynamics rely on the conditional expectations of future *** main contribution is to obtain a sufficient condition for the exact controllability of the rational expectations *** particular,we derive a sufficient Gramian matrix condition and a rank condition for the delay-free *** key is the solvability of the backward stochastic difference equations with input delay which is derived from the forward and backward stochastic system.

关键词： Rational expectations model Exact controllability Exactly null controllability Multiplicative noise Input delay

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