Article
Automation & Control Systems
Qi Zhu, Shun Jiang, Feng Pan
Summary: This article investigates the fault detection problem in finite-frequency domain for nonlinear networked systems under stochastic cyber-attacks. An adaptive event-triggered scheme is introduced to mitigate network transmission burden. A unified measurement model is proposed to consider both randomly occurring cyber-attacks and transmission delays. The fault detection problem is converted into an auxiliary H-/H infinity filtering problem, and sufficient conditions for the existence of the desired fault detection filter are obtained through stochastic analysis.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Yue Long, Ju H. Park, Dan Ye
Summary: This paper proposes an asynchronous fault detection and isolation scheme for MJS with actuator failures in networked environment. By introducing binary-valued Bernoulli distributed sequences and stochastic H_ index in finite frequency domain, the scheme ensures the existence of desired filters and achieves detection of actuator failures. Each FDI filter in the scheme is only sensitive to one possible actuator fault and decoupled from others, demonstrating the effectiveness of the proposed theoretical results through an application example.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Energy & Fuels
Shixun Mo, Xiaofeng Mo, Zhipeng Lv, Qintao Ye, Gengyu Shen
Summary: In this study, a method combining the phase component method and the Laplace transform is used to accurately calculate the transient response of faults in transmission lines, considering the initial energy storage. The method accurately reflects transient components at different frequencies and is suitable for transient studies and steady-state analysis.
Article
Automation & Control Systems
Pengfei Li, Yu Kang, Yun-Bo Zhao, Tao Wang
Summary: This article proposes a novel control framework for a class of discrete-time perturbed nonlinear system, which incorporates a local controller and a remote controller to achieve stability. By introducing a new Lyapunov function, the input-to-state practical stability is established in relation to the optimal MPC value function. Simulation results demonstrate the effectiveness of the proposed control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Siwei Qiao, Qingsheng Yang, Jie Wu, Xisheng Zhan, Huaicheng Yan
Summary: This paper solves the stability problem of networked time-delay systems by using frequency-domain analysis. The quality of communication network is affected by bandwidth, noise, and packet dropouts. The main techniques used are spectral decomposition and frequency-domain analysis. By utilizing these techniques, the minimum signal-to-noise ratio expression for stabilizing the networked time-delay systems is obtained. Furthermore, it is shown that the minimum system stability value depends on the constraints of the communication channel, the position of unstable poles, and the non-minimum phase zeros of the given model. Additionally, the acquired result highlights the connection between the status of the researched system, communication channel parameters, and the structural property of the considered model. Simulation examples are provided to validate the final result.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
Lili Li, Jun Fu, Yu Zhang, Tianyou Chai, Linyang Song, Pedro Albertos
Summary: This paper presents a solution to the event-triggered output regulation problem for a class of linear networked switched systems by integrating mode-dependent alternate event-triggered mechanism with transmission delays and packet losses. A series of error feedback controllers are synthesized based on the relationships between switching instants and event-triggered instants, ensuring asynchronous output regulation performance. Sufficient conditions are also provided for the proposed control issue with the presence of packet losses, showing the effectiveness of the results in simulation.
Article
Automation & Control Systems
Shaoping Wang, Jun Zhou, Zhaoxia Duan
Summary: This paper presents a modified observer for fault detection in wind turbine transmission systems (WTTS) under actuator stuck faults and wind disturbances. The observer, based on finite frequency (FF) performance indices, outperforms previously proposed observers. By utilizing the generalized Kalman-Yakubovich-Popov (GKYP) lemma and Lyapunov theory, the FF indices are transformed into linear matrix inequalities (LMIs) and the corresponding FF modified observer is parameterized through convex optimization with LMI constraints. One notable advantage of the modified observer is its ability to simultaneously handle fault and disturbance signals in different FF domains, making the residual system sensitive to actuator faults while robust against external wind disturbances. Simulation results demonstrate the superior fault detection performance of the proposed design method compared to frequency observers.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Kejia Zhu, Youqing Wang
Summary: This paper studies the problem of sensor fault estimation in Unmanned Surface Vehicle systems in a networked environment. An observer based on an event-trigger mechanism is proposed to estimate the state and sensor fault, with the trigger threshold adjusted to balance observer performance and energy consumption. Simulation experiments validate the effectiveness of the observer design and the boundedness of estimation error.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Chao Zhao, Guokai Liu, Weiming Shen, Liang Gao
Summary: A domain adaptation network based on multiple representations is proposed, utilizing time-frequency representations and parallel models to obtain domain-invariant features, and achieving high-precision fault diagnosis through ensemble learning.
Article
Acoustics
Farzaneh Jani, Farzad Hashemzadeh, Mahdi Baradarannia, Hamed Kharrati
Summary: This paper discusses the finite-time contractive stability analysis and observer-based H-infinity fault tolerant control problem for a networked single-link flexible manipulator subject to external disturbance, actuator, and sensor faults. The variable delay is considered in both sensor-to-controller and controller-to-actuator channels. The sampled-data-based event-triggered scheme and Lyapunov-Krasovskii functional approach are employed to optimize system design and reduce conservatism. Simulation results confirm the effectiveness of the proposed approach.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Minh-Tuan Pham, Jong-Myon Kim, Cheol-Hong Kim
Summary: Bearing fault diagnosis is crucial for factories, and deep neural networks especially convolutional neural networks have shown significant improvement in accuracy. However, efficiency issues still need to be addressed in complex industrial environments.
Article
Energy & Fuels
Rongsheng Zhu, Yunpeng Li, Qian Huang, Sihan Li, Xinyu Zhang, Huairui Li, Qiang Fu
Summary: A diagnostic model combining the wavelet packet transform and the support vector machine was developed to diagnose common failures in vertical Essential Service Water Pumps. The model achieved a high accuracy rate, excellent generalization, and strong adaptability.
Article
Automation & Control Systems
Hong-Tao Sun, Chen Peng, Maoli Wang, Min Zhao
Summary: This paper investigates the input to state stabilizing control of networked control systems (NCSs) with a specified packet dropout rate. The study considers two transmission intervals in NCSs based on the occurrence of packet dropouts: small delay intervals (packet-dropout-free case) and large delay intervals (packet-dropout case). The concept of average packet dropout rate (ADR) is introduced to characterize the quality of service (QoS) for networks. The paper presents a switched systems approach to derive the input to state stability (ISS) conditions for a specified ADR using Lyapunov theory and input delay approach. The controller design method for NCSs under a specified ADR is obtained by solving linear matrix inequalities (LMIs). A control and communication co-design method is proposed to design the controller gain based on QoS. Finally, simulations on self-steering control of autonomous vehicles are conducted to verify the effectiveness of the proposed co-design method.
Article
Engineering, Mechanical
Fenglan Sun, Xiaoshuai Wu, Juergen Kurths, Wei Zhu
Summary: This paper investigates the group consensus problem for discrete-time heterogeneous multi-agent systems with unknown speed of second-order agents in cooperative-competitive networks. Time delays and data packet loss are considered in the systems, and novel group consensus control protocols are designed. By using graph theory, matrix theory, and the frequency domain approach, some sufficient conditions for group consensus are obtained, and the upper bound of the allowed time delay in the consensus system is given. Finally, a series of simulation experiments are presented to verify the effectiveness of the proposed control protocol.
NONLINEAR DYNAMICS
(2022)
Article
Computer Science, Artificial Intelligence
Sinan Li, Tianfu Li, Chuang Sun, Xuefeng Chen, Ruqiang Yan
Summary: Proposed an interpretable wavelet packet kernel-constrained convolutional network (WPConvNet) for noise-robust fault diagnosis, which combines the feature extraction ability of wavelet bases and the learning ability of convolutional kernels. The proposed architecture outperforms other diagnosis models in terms of interpretability and noise robustness.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
