Article
Automation & Control Systems
Dong Zhao, Bin Jiang, Hao Yang, Gang Tao
Summary: This paper addresses a fault accommodation issue for flexible hypersonic vehicles by static output feedback, establishing a longitudinal dynamics and distributed fault model, and developing a novel fault accommodation scheme to achieve fault accommodation and vibration suppression. The control strategy based on control separation formulation demonstrates its effectiveness through input-to-state stability analysis and new control gain matrices algorithm for fault-tolerant control law. Simulation results further support the theoretical findings.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Mouquan Shen, Tu Zhang, Zheng-Guang Wu, Qing-Guo Wang, Song Zhu
Summary: This article investigates fault detection for discrete-time T-S fuzzy systems using an iterative interval estimation method. Two iterative subsystems are employed to establish iterative state reconstruction without faults using system output and iterative estimation of unknown disturbances. A sufficient condition is formulated in terms of linear matrix inequality to guarantee the asymptotic stability of the error systems by utilizing a structure separation technique and the H-8 requirement on estimated errors. The state interval without faults consideration is rebuilt using the zonotope reachability technique. An FD scheme is proposed by checking residual signals against the residual interval generated from the established error interval. Simulation comparison validates the effectiveness of the proposed iterative FD scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Information Systems
Changhua Hu, Meijie Liu, Hongzeng Li, Xiaoxiang Hu
Summary: This paper applies a sliding mode observer-based fault detection scheme to improve the safety and reliability of hypersonic flight vehicles, successfully detecting and handling actuator faults including stuck faults and PLOE faults. Results show that stuck faults and high proportion PLOE faults can be timely and accurately detected, while detection of small proportion PLOE faults faces some difficulties.
Article
Automation & Control Systems
Kaiyu Hu, Fuyang Chen, Zian Cheng
Summary: This study explores active-passive hybrid fault-tolerant control for hypersonic flight vehicles, utilizing adaptive control techniques. The controller compensates for actuator faults and shields system faults, improving fault estimation sensitivity and accuracy. The proposed FTC scheme demonstrates effectiveness through simulation results.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Engineering, Aerospace
Daqiao Zhang, Xiaolong Zheng, Yangguang Xie, Xiaoxiang Hu
Summary: In this paper, a method for the estimation of flexible states based on angular accelerometers is proposed, and an online estimation method based on the Extended Kalman Filter is designed for real-time acquisition of the flexible states of hypersonic flight vehicles. Then, a stable inversion-based controller-design method is utilized and a robust tracking controller is designed based on the estimated flexible states. The proposed method provides an effective means for estimating flexible states and conducting the observer-based controller design of hypersonic flight vehicles, which is verified through numerical simulation.
Article
Engineering, Aerospace
Yuning Zheng
Summary: This study proposes an interval-robust optimization method for the design of hypersonic vehicles, which integrates geometric tolerances under multiple flight conditions, evaluates aerodynamic forces and heating properties rapidly, calculates upper and lower bounds of parameters, and introduces a multipoint interval-robust optimization strategy.
JOURNAL OF AEROSPACE ENGINEERING
(2021)
Article
Automation & Control Systems
Xiang Yu, Peng Li, Youmin Zhang
Summary: This article presents a fixed-time fault-tolerant control strategy for actuator faults in hypersonic gliding vehicles, utilizing sliding mode control, bilimit homogeneity, and adaptive techniques while considering practical constraints and model uncertainties. The fault-tolerant attitude control law allows fault compensation to be completed within a fixed time frame, demonstrating its effectiveness in comparison to finite-time fault accommodation schemes.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Industrial
Yutong Dong, Hongkai Jiang, Zhenghong Wu, Qiao Yang, Yunpeng Liu
Summary: This paper proposes a digital twin-assisted multiscale residual-self-attention feature fusion network (MRFFN) for hypersonic flight vehicle fault diagnosis. By establishing a mathematical simulation and generating data from the digital twin model, the MRFFN shows superior performance in accurately identifying hypersonic flight vehicle faults compared to other intelligence methods.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Automation & Control Systems
Shuai Liang, Bin Xu, Youmin Zhang
Summary: In this article, a robust self-learning fault-tolerant control (FTC) strategy is proposed for the hypersonic flight vehicle (HFV) under uncertainties, actuator faults, and external disturbances. The strategy includes an adaptive baseline controller, a data-driven auxiliary controller, and a comprehensive robust self-learning FTC law. The stability and effectiveness of the proposed control algorithm are verified through theoretical analysis and numerical simulations.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Qiang Qi, Xiangwei Bu
Summary: An adaptive dynamic programming controller based on backstepping method is designed for optimal tracking control of hypersonic flight vehicles. It divides control input into stable control and optimal control, utilizing neural networks and minimal-learning parameter scheme to estimate unknown functions and reduce computational load. The controller also introduces first-order filter and NNs estimators to approximate performance indicators, achieving approximate optimal control for hypersonic flight vehicles.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Automation & Control Systems
Xiuyu He, Yonghao Ma, Mou Chen, Wei He
Summary: This article investigates the modeling and fault-tolerant control design for a class of flexible air-breathing hypersonic vehicles with actuator faults. The fuselage's shear deformation is considered, and an ODEs-PDEs coupled model is established. A feedback control and an adaptive FTC method are proposed to ensure flight stability and suppress system vibrations. The closed-loop system's stability is analyzed using the Lyapunov direct method, and an algorithm is provided for determining the control gains. Numerical simulation results demonstrate that the proposed controller efficiently stabilizes flight states and suppresses fuselage vibration.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Linlin Li, Steven X. Ding, Xin Peng
Summary: This article investigates optimal observer-based fault detection and estimation schemes for Takagi-Sugeno fuzzy systems. An optimal fault detection scheme is proposed to enhance sensitivity to faults and increase robustness against unknown inputs, along with a least squares fault estimation scheme. The proposed schemes utilize online recursive observers. A case study on a laboratory three-tank system demonstrates the effectiveness of the proposed approaches.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Engineering, Aerospace
Yao Lu, Zhiqiang Jia, Xiaodong Liu, Kunfeng Lu
Summary: This paper presents a novel nonlinear output feedback fault-tolerant control method for hypersonic flight vehicles, addressing practical issues such as inaccurate angle measurements, non-affine actuator faults, and actuator saturation. By utilizing differentiator techniques and tracking differentiators, the proposed method effectively estimates unmeasured variables and models uncertainties, enhancing controller performance in challenging scenarios. Comparative simulation results demonstrate the effectiveness and superiority of the approach.
Article
Computer Science, Artificial Intelligence
Meng Wang, Gang Feng, Huaicheng Yan, Jianbin Qiu, Hao Zhang
Summary: This article investigates the problem of finite frequency fault detection filtering design for uncertain nonlinear systems based on interval type-2 Takagi-Sugeno fuzzy models. A novel approach for finite frequency filtering synthesis is proposed, and two algorithms with linear matrix inequality constraints are developed to optimize system performance. Simulation studies demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Yabin Gao, Jianxing Liu, Zhenhuan Wang, Ligang Wu
Summary: This paper introduces a tracking control scheme for hypersonic flight vehicles using IT2FNN, allowing for improved transient characteristics of tracking errors. Continuous control laws are designed to avoid increasing effective gains of controllers and reduce communication load, achieving limited tracking errors.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Chao Deng, Changyun Wen, Wei Wang, Xinyao Li, Dong Yue
Summary: This article investigates the consensus problem for high-order nonlinear multi-agent systems (MASs) with an uncertain leader under event-triggered communication. It introduces distributed intermediate parameter estimators based on event-triggered communication mechanism to estimate the unknown parameters of the uncertain leader. To ensure the existence of high-order derivatives, the estimators are modified by using the Hermite interpolation method. Moreover, novel high-order filters are proposed to generate local reference signals and ensure the existence of high-order derivatives of the filter states. A backstepping-based decentralized adaptive controller is developed based on the developed filters, and it is proved that consensus errors are asymptotically convergent with the developed method. Simulation examples are provided to demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Jianping Cai, Changyun Wen, Lantao Xing, Qiuzhen Yan
Summary: In this article, a decentralized adaptive control scheme is proposed based on backstepping techniques for uncertain interconnected systems with modeling errors and interactions. Unlike existing results, the functions bounding modeling errors and interactions are allowed to depend on all the states of the interconnected system, without the requirement of meeting the triangular condition. It is demonstrated that the proposed scheme can ensure bounded signals in the closed-loop system, which is verified by simulation studies.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Green & Sustainable Science & Technology
Lantao Xing, Yang Qi, Xiao-Kang Liu, Changyun Wen, Meiqin Liu, Yu-Chu Tian
Summary: DC microgrids have found wide use in industry due to their reliability, efficiency, and access to sustainable energy. Various distributed secondary control methods have been developed for these microgrids, but most rely on continuous-time controllers. This paper presents a discrete-time distributed secondary control strategy to account for the practical implementation of digital controllers. The proposed strategy ensures flexible current sharing, accurate voltage regulation, and can handle different types of loads. Simulation and experiments are used to demonstrate its effectiveness.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Automation & Control Systems
Xiaolei Li, Jinsong He, Xinyao Li, Changyun Wen
Summary: This paper proposes a resilient secondary control scheme to solve the voltage and frequency restoration problem caused by irregular time delays in an AC microgrid. Sufficient conditions are established using algebraic gains to ensure system stability and achieve asymptotic restoration. Simulation and experimental studies demonstrate the effectiveness of the proposed control scheme in practical applications.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Automation & Control Systems
Kunpeng Zhang, Bin Jiang, Fuyang Chen, Hui Yang
Summary: This article addresses the distributed multiple fault isolation, modeling, and closed-loop fault estimation for high-speed trains under asynchronous switching. Various techniques, including directed-graph-quantum-learning-based classifiers and single-integrator agents, are proposed to solve the multiple fault isolation and estimation problem. The article also introduces a novel robust fault estimation design to handle power actuator faults subject to asynchronous switching and electromagnetic interferences.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Xianfu Zhang, Xiandong Chen, Changyun Wen
Summary: This article investigates the global feedback regulation problems of triangular nonlinear systems perturbed by matched disturbances and modeling uncertainties with unknown system parameters. New integral controllers are constructed to ensure the boundedness and asymptotic convergence to zero of all states in the uncertain systems. The construction involves introducing an integral dynamic and a state transformation to convert the triangular nonlinear systems into auxiliary intermediate systems. The Lyapunov stability theorem and the characteristics of the designed dynamic parameter are used to demonstrate the global feedback regulation of the considered systems. Two physical system examples are provided to illustrate the effectiveness of the proposed controllers.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Xinyao Li, Changyun Wen, Xiaolei Li, Jinsong He
Summary: This article investigates the adaptive fractional-order backstepping control problem for high-order integer-order systems with uncertainties and unknown external disturbance. Fractional-order calculus is integrated into the conventional backstepping controller design procedure to improve control performance. Theoretical proof based on the Lyapunov stability theorem is provided to ensure the global stability of the closed-loop system. Numerical simulation and experimental results demonstrate the effectiveness of the proposed adaptive fractional-order backstepping control scheme.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Shuyan Zhou, Yongduan Song, Changyun Wen
Summary: This work focuses on event-triggered practical prescribed time tracking control for a type of uncertain nonlinear systems, considering actuator saturation, unmeasurable states, and time-varying unknown control coefficients. A state observer is constructed using neural network technology to estimate the unmeasurable system states, and an event-triggered output feedback control scheme is developed to steer the tracking error to a predefined accuracy within a preassigned settling time.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Chao Deng, Weinan Gao, Changyun Wen, Zhiyong Chen, Wei Wang
Summary: This article proposes a solution to the problem of resilient practical cooperative output regulation (RPCORP) for multiagent systems facing denial-of-service attacks and actuator faults. The article introduces a novel data-driven control approach to handle the unknown system parameters and develops resilient distributed observers for each follower under DoS attacks. It also presents a resilient communication mechanism and a time-varying sampling period to ensure neighbor state availability and prevent targeted attacks. By leveraging a data-driven algorithm, a model-based fault-tolerant and resilient controller is designed. Rigorous analysis proves the ability of the closed-loop system to achieve practical cooperative output regulation, and a simulation example is provided to demonstrate the effectiveness of the approach.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Civil
Xingshuo Hai, Huaxin Qiu, Changyun Wen, Qiang Feng
Summary: This paper presents a novel approach to address the problem of distributed situation awareness consensus for unmanned aerial vehicle swarm systems. Due to the complexity and antagonism of the mission environment, traditional centralized architectures fail to achieve distributed consensus. To tackle this issue, a systematic distributed SA consensus scheme is proposed, including a distributed optimization-based consensus reaching model, dual-loop decision-making framework, and novel coordination algorithm. Convergence analysis is conducted on the proposed algorithm, and comparative simulations confirm the effectiveness and superiority of the proposed method.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Chenliang Wang, Lei Guo, Changyun Wen, Yukai Zhu, Jianzhong Qiao
Summary: This article proposes new adaptive anti-disturbance control schemes for uncertain nonlinear systems with composite disturbances, including additive disturbances, multiplicative actuator faults, and implicit disturbances deeply coupled with system states. Both the cases with known and unknown control/fault directions are investigated. By properly fusing the techniques of disturbance observers and adaptive compensation, it is shown that all closed-loop signals are globally uniformly bounded and the tracking error converges to zero asymptotically, no matter the control/fault directions are known or not. In the case of known directions, the proposed control scheme guarantees asymptotic tracking and L$_{\infty}$ tracking performance simultaneously in face of disturbances and actuator faults. Moreover, novel Nussbaum functions and a contradiction argument are introduced, allowing the system to have multiple unknown nonidentical control directions and unknown time-varying fault direction. Simulation results illustrate the effectiveness of the proposed control schemes.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Sudao He, Fuyang Chen, Hongtian Chen
Summary: In this article, a latent representation generalizing network (LRGN) is proposed to achieve domain generalization for cross-scenario monitoring. LRGN consists of sequential-variational generative adversarial networks (SVGAN), coupled SVGAN (Co-SVGAN), and knowledge-aggregated SVGAN. By learning generalized latent representations, LRGN is able to transfer transferable knowledge in cross-scenario monitoring of perimeter security.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Zongcheng Liu, Jiangshuai Huang, Changyun Wen, Xiaojie Su
Summary: In this article, the distributed control of uncertain multiagent systems (MAS) with unknown nonlinearities, time-varying control coefficients, and multiple control directions is investigated. A new theorem with novel Nussbaum functions is presented to solve the problem of controlling nonlinear systems with unknown time-varying control coefficients and signs. The global consensus of MAS with unknown time-varying control coefficients and system nonlinearities under a directed graph is achieved, and the transient tracking performance is guaranteed. A novel filter is proposed for each agent that does not require prior knowledge of the time derivative of the leader. Simulation results demonstrate the effectiveness of the proposed control schemes.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Zhen Gao, Yongduan Song, Changyun Wen
Summary: In this work, a neuroadaptive PI control scheme is developed for challenging MIMO nonlinear systems with uncertain models and actuation faults. By integrating filtered variables into the design process, the proposed control achieves asymptotic tracking, adjustable rate of convergence, and bounded performance. It is applicable to various MIMO systems with unknown and time-varying control gain matrices, and remains robust against uncertainties, adaptive to unknown parameters, and tolerant to actuation faults with only one online updating parameter.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Zhen Gao, Yongduan Song, Changyun Wen, Frank L. Lewis
Summary: This paper investigates the problem of reliable control for nonlinear systems with uncertainties and abnormal sensoring and actuating units. By using an adaptive control solution and a strategy of backup actuators, the system can achieve stable operation even under sensor failures and malicious attacks.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
