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Double Coil Compensation Method for Reducing Distortion of High-Speed MFL Signals

IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Liu, Jinhai Xu, Hang Jiang, Lin Zhang, Huaguang Liu, Jiarui State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northeastern University College of Information Science and Engineering Shenyang110819 China

The magnetic flux leakage (MFL) testing is widely used in the health evaluation of oil pipelines due to its nondestructive and efficient characteristics. However, motion-induced eddy currents (MIECs), which will cause distortion of the high-speed MFL signals, are generated in pipelines due to the relative motion with magnets. The distortion signals will reduce the accuracy of defect evaluation. In terms of the above issues, a double coil compensation method is proposed. First, the causes, distribution positions, and diffusion characteristics of MIECs are determined through the theoretical analysis to clarify the reasons for the distortion of high-speed MFL signals. Second, given the asymmetric distribution characteristics of MIECs, an asymmetric structure is proposed to capture MIECs at the defects and the magnetic poles, which cause distortion of high-speed MFL signals. Third, based on the double coil groups, an active–passive strategy is proposed to distinguish pipeline surface and back defects, which ensures the integrity of defect evaluation and enhances the reliability of pipeline repair. Finally, the compensation performance and distinguishing capacity of the proposed method are verified by simulated and experimental analysis. The results show that compensated signals approximate the static MFL signals and have satisfactory performances of defect size quantification. © 1963-2012 IEEE.

关键词： Signal distortion

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A dynamic utopia point updating strategy for multi-objective optimization

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ISA Transactions 2025年

作者： Niu, Yue-Yan Li, Xiao-Jian College of Information Science and Engineering Northeastern University Shenyang110819 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

Multi-objective optimization problems widely exist in engineering practice, which are usually solved by repeatedly searching Pareto fronts. However, the search process faces the challenges of heavy computational burden and local optimality. To overcome these difficulties, a novel utopia optimization method is developed in the paper, where the multi-objective problems are converted into single-objective ones without repeatedly searching, and then the computational burden is reduced. In particular, different from the classical utopia optimization, where the utopia point is always fixed during the whole optimization process, a dynamical updating strategy is proposed by comparing the current optimization solution and the original utopia point, and the local optimality problem is also solved. Moreover, an improved particle swarm optimization method with the Logistic map and adaptive weights is developed to further enhance the computing ability of the optimization solution. Finally, three examples are taken for simulations, and the results indicate that the relative errors between the global optimums and the optimal values are respectively reduced by 1.45, 1.06, and 0.14, compared with the existing approaches. © 2025 International Society of automation

关键词： Multiobjective optimization

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Interval Observer-Based Secure Estimation for T-S Fuzzy Systems Under Stealthy Attacks

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IEEE Transactions on Fuzzy Systems 2025年

作者： Li, Zhi-Hui Yang, Guang-Hong Northeastern University College of Information Science and Engineering Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

This paper focuses on the interval state estimation for T-S fuzzy systems under stealthy sensor attacks, where the premise variables are unmeasurable. To deal with the stealthy attack, an upper and lower bounds estimation method for the attack is proposed, where the nominal and auxiliary matrices are introduced to overcome the difficulty of ensuring the error system nonnegativity induced by fuzzy rules. Then, based on the bounds, an attack-resistant interval observer is constructed to achieve secure state estimation, and the estimation accuracy is improved using the H∞ technique. Compared with the existing interval observer for T-S fuzzy systems, the designed interval observer has better resilience performance when the system is under stealthy attacks. Finally, simulation examples are provided to illustrate the effectiveness of the proposed results. © 1993-2012 IEEE.

关键词： Interval observer stealthy attacks t-s fuzzy systems unmeasurable premise variables

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Completely-Stealthy and Energy-Stealthy Sensor Attacks With Constrained Channels: Existence and Design

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IEEE Transactions on Automatic Control 2025年

作者： Jin, Kaijing Ye, Dan Zhang, Tian-Yu Northeastern University College of Information Science and Engineering Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation of Process Industries Shenyang110819 China

In this paper, the security of state estimation is studied under stealthy false-data injection attacks launched in the sensor-to-estimator channels. It is proved that there is no strictly stealthy sensor attack such that the state estimation is insecure. Thus, we focus on the existence of the attacks with complete and energy stealthiness to gradually remove the attack impact on detectors. Since the existence of stealthy attacks is significantly affected by accessing attack channels, the necessary and sufficient conditions of such two types of attacks with constrained channels are proposed by matrix decomposition techniques and the reachability analysis of system dynamics. In general, deeper stealthiness for attacks will require harsher constraints on the system dynamics, while it turns out that the completely-stealthy attacks are achievable under the same existence conditions as the generally stealthy attacks. Meanwhile, we indicate that though launching energy-stealthy attacks needs more demanding system dynamics, they can deceive detectors more deeply. The simulation examples demonstrate the effectiveness of the presented theoretical results. © 2025 IEEE.

关键词： System theory

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Distributed State Estimation for Discrete-Time Linear Systems: A Canonical Decomposition-Based Approach

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IEEE Transactions on Automatic Control 2025年

作者： Gao, Rui Yang, Guang-Hong Northeastern University College of Information Science and Engineering Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

This paper is concerned with the problem of distributed state estimation for discrete-time linear systems using a network of agents, where the measurement of each agent suffers from the lack of detectability with the system dynamics. The existing results on this topic require stringent condition either on the network connectivity or on the detectability. In contrast, a new form of distributed observer, which ensures that all agents asymptotically estimate the system state under the mild network connectivity condition without increasing the need for the detectability condition, is proposed. Necessary and sufficient conditions for the existence of the proposed distributed observer are established. The key to the proposed method is a refined canonical decomposition form of the coefficient matrices of the system which is introduced leveraging the real Jordan canonical form, the Popov-Belevitch-Hautus test, the matrix permutation, and the observable decomposition. The methodology is applied to estimate the positions of a group of Pendubots to demonstrate its effectiveness. © 1963-2012 IEEE.

关键词： Graph theory

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TSDD-UB: A Texture Simplification-Based Denoising Diffusion Model for Unsupervised Defect Detection Under Ultrasonic B-Scan Signal

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Wang, Liwei Liu, Jinhai Zhong, Yuan Shen, Xiangkai Zhao, He Northeastern University School of Information Science and Engineering Shenyang110004 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries School of Information Science and Engineering Shenyang110004 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China

The ultrasonic B-scan signal is widely used in the detection of pipeline defects. However, most existing methods face challenges in achieving high accuracy due to the amplitude attenuation phenomenon and the complicated texture structure of the ultrasonic B-scan signal. To address the above issues, a texture simplification-based denoising diffusion model is proposed for unsupervised defect detection under an ultrasonic B-scan signal. This model closely follows the principles of ultrasonic propagation and incorporates meticulous designs in both data processing and model architecture, aiming to achieve high-precision defect detection while training exclusively on normal samples. First, an adaptive time gain compensation (ATGC) method is proposed to mitigate the amplitude attenuation phenomenon of the B-scan signal. Second, a novel texture simplification network is proposed to simplify texture structures while preserving the echo characteristics of the B-scan signal. Third, a double noise scale reconstruction (DNSR) method is designed, which utilizes the denoising diffusion model to reconstruct signals with two different levels of perturbation, aiming to overcome the issue of low reconstruction quality. Experimental results in real pipelines demonstrate that texture simplification-based denoising diffusion model for defect detection under ultrasonic B-Scan signal (TSDD-UB) achieves an image-level area under the receiver operator characteristic curve (AUROC) of 100% and a pixel-level AUROC of 98.6%, outperforming state-of-the-art methods and indicating significant potential for practical applications. © 1963-2012 IEEE.

关键词： Ultrasonic testing

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Intelligent PI control of hematite regrinding pressure based on signal compensation and reinforcement learning

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Kongzhi yu Juece/Control and Decision 2025年第6期40卷 1931-1938页

作者： Sun, Hong-Shuo Zhang, Ya-Jun Liu, Ning Guo, Ce Chai, Tian-You Zhang, Jin-Qiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China National Engineering Technology Research Center for Metallurgical Industry Automation Northeastern University Shenyang110819 China Hongxing Beneficiation Plant Jiuquan Iron & Steel Group Corporation Jiayuguan735100 China

The regrinding process of hematite is a unique beneficiation process for low-grade hematite, where the control of the ore feed pressure is a key process. To ensure precise control of the ore feed pressure, this paper combines conventional PI control with signal compensation technology and reinforcement learning to propose an intelligent PI control method. Firstly, describing the controlled object as a low-order linear model with frequent changes in unknown nonlinear dynamic systems, the compensation signal is designed using precisely calculated unknown nonlinear terms from the previous moment and closed-loop operating data, superimposed on the output of the PI controller to improve the dynamic performance of the control system. Then, reinforcement learning and real-time operational data of the closed-loop system are used to iteratively determine the optimal parameters for the PI controller and compensator, thereby optimizing the operation of the closed-loop system. Finally, through comparative experiments with existing methods and physical experiments using real industrial process data, the experimental results demonstrate the superiority of the proposed method. © 2025 Northeast University. All rights reserved.

关键词： Proportional control systems

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Secure State Estimation For Continuous-time Cyber-Physical Systems Under Stochastic Attacks And Faults

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IEEE Transactions on Automatic Control 2025年

作者： Sun, Qingdong Yang, Guang-Hong Northeastern University College of Information Science and Engineering Liaoning Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

This paper studies the secure state estimation problem of continuous-time cyber-physical systems affected by sensor attacks and actuator faults, where the attackers do not target fixed transmission channels but instead stochastically select the channels to attack at each moment based on a specific Markov process. To address these challenges, a reduced-order observer is designed to simultaneously estimate the original system states, faults, and attacks, while ensuring that its observation errors remain unaffected by these faults, attacks, and unknown disturbances. According to the stability theory of stochastic systems, a necessary and sufficient condition is provided for the stochastic stability of the observation error system under known transition rates, with further analysis of its stability under unknown transition rates. Finally, the validity and superiority of the proposed method are verified through two numerical examples. © 1963-2012 IEEE.

关键词： Markov processes

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Dissipativity-Based Secure Output Regulation in Networked Switched Systems With Long-Duration Zero-Value Attacks

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IEEE Transactions on Automatic Control 2025年

作者： Li, Lili Guo, Qingjun Fu, Jun Rong, Di Dalian Maritime University College of Marine Electrical Engineering Dalian116026 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

The secure output regulation (OR) problem is formulated for networked switched systems (SSs) with severely unstable dynamics that are subjected to long-duration zero-value (LDZV) attacks. For these systems, well-defined switching rules enable the severely unstable dynamics to achieve stability and OR by allowing each subsystem to dwell for a short period. However, during LDZV attacks, the system's external variables (inputs and outputs) are set to zero for a long period. Given the presence of severely unstable dynamics, it becomes impossible to construct reliable switching rules that guarantee security, stability and OR by merely extending the dwell time. In this scenario, specific system internal parameters, such as dissipativity parameters, can be leveraged in designing a secure control scheme to address the cumulative impacts of LDZV attacks and severely unstable dynamics. Thereby, event-triggered protocols and switching rules are designed from the dissipativity context. Finally, the secure OR solvability is verified using an aero-engine. © 1963-2012 IEEE.

关键词： Switching theory

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Data-driven fault-tolerant consensus control for constrained nonlinear multiagent systems via adaptive dynamic programming

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Information Sciences 2025年 705卷

作者： Zhang, Lulu Zhang, Huaguang Wang, Tianbiao Yue, Xiaohui College of Information Science and Engineering Northeastern University Liaoning Shenyang110004 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning Shenyang110004 China

In this paper, a data-driven fault-tolerant control (FTC) method is proposed to solve the consensus problem of constrained multiagent systems (MASs) with denial-of-service attacks. First, a resilient distributed observer is introduced to extract the leader's state in real-time for each follower, even in the presence of attacks. A nonlinear mapping is employed to transform the original system with state constraints into an equivalent constraint-free system, ensuring that the original system's states remain within prescribed limits. Then, an adaptive dynamic programming (ADP)-based FTC scheme is designed for the system to mitigate the effects of actuator faults, enabling the nominal system to balance cost and performance. The ADP algorithm is implemented using an actor-critic structure to solve the Hamilton-Jacobi-Bellman equation based on system data collected via the least-squares method. In this framework, the designed controller is data-driven rather than reliant on precise system information, which broadens the controller's applicability to systems with unknown dynamics. Finally, the effectiveness of the established controller is validated through two examples. © 2025

关键词： Dynamic programming

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