Article
Automation & Control Systems
Xianghua Wang, Chee Pin Tan, Youqing Wang, Ziye Zhang
Summary: In this article, an active fault tolerant control scheme based on fault detection and isolation (FDI) for uncertain systems subject to sensor faults is presented. The scheme includes fault detection module, fault isolation module, and compensation controller to improve sensitivity to faults and performance.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Computer Science, Artificial Intelligence
Tiantian Wu, Zhaoxu Yu, Shugang Li
Summary: This article focuses on the problem of adaptive quantized fault-tolerant tracking control for a class of uncertain nonstrict-feedback nonlinear systems in the presence of input and output quantization and sensor fault. The main technical challenges involve dealing with the quantization errors and the partial loss of sensor effectiveness. The proposed control scheme includes a new observer to reconstruct unavailable states, adaptive fault compensation strategy to mitigate sensor fault, and an output feedback adaptive fuzzy fault-tolerant control scheme using the fuzzy logic system approximation method and backstepping technique.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Jian Chen, Hak-Keung Lam, Jinpeng Yu
Summary: This article studies the adaptive fuzzy event-triggered output feedback control for nonlinear systems with nonstrict feedback structure and variable disturbances. By proposing a fuzzy state observer with an adaptive parameter and constructing various control components, the adaptive fuzzy output feedback control scheme is built to ensure bounded signals and finite-time tracking errors. Simulation examples confirm the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Theory & Methods
Lei Chen, Hong Xue, Hongjing Liang, Meng Zhao
Summary: This paper investigates the finite-time fault-tolerant containment control problem for stochastic nonlinear multiagent systems with intermittent actuator faults. A modified distributed observer is designed for accurate state estimation, and a compensation mechanism is proposed to suppress the adverse effects of intermittent faults. A finite-time fuzzy fault-tolerant containment control scheme is developed to achieve convergence of followers to leaders in a finite time. The effectiveness of the proposed control scheme is demonstrated through simulation studies.
FUZZY SETS AND SYSTEMS
(2023)
Article
Computer Science, Information Systems
Jing Wang, Jian Han, Xiuhua Liu, Shaoxin Sun
Summary: This paper investigates fault estimation and fault-tolerant control problems for fuzzy systems under exogenous disturbance and stochastic noise. Fuzzy reduced-order intermediate variable observers and disturbance observers are proposed to reconstruct sensor fault, actuator fault, and disturbance. Based on the estimated results, observer-based fault-tolerant controllers are designed. The reduced-order observers have lower dimensions and cost compared to the full-order observer design method. The introduction of the feedback term of the output estimation error in our observers increases the design freedom. The obtained linear matrix inequality conditions ensure mean-square exponentially stability of the whole closed-loop systems. Two examples are provided to validate the feasibility of the proposed method.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Hamdi Gassara, Mohamed Boukattaya, Ahmed El Hajjaji
Summary: This paper investigates the delay-dependent state, Fault Estimation (FE), and Fault Tolerant Control problems for polynomial fuzzy systems with time delay. A polynomial adaptive fuzzy observer is utilized to estimate system states and actuator faults. A polynomial Lyapunov-Krasovskii functional with a double integral term is introduced to obtain delay-dependent sufficient conditions, which can be solved via SOSTOOLS and a Semi-Definite Program solver. By utilizing the FE information, a polynomial fuzzy fault tolerant controller is designed to ensure system stability and compensate for the impact of actuator faults. Several examples are provided to illustrate the applicability of the delay-dependent results presented in this paper.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Weiyu Ji, Yingnan Pan, Meng Zhao
Summary: This article proposes an adaptive fault-tolerant formation control strategy for strict-feedback nonlinear multiagent systems with nonlinear faults and external disturbances. By employing dynamic surface control technique and disturbance-fault observer, the optimized control performance is guaranteed.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Li Tang, Meiying Yang, Yan-Jun Liu, Shaocheng Tong
Summary: In this article, an output feedback adaptive fuzzy tracking control method is proposed for a class of switched uncertain nonlinear systems with actuator failures and full-state constraints. A fuzzy observer is constructed to identify the unmeasured states, and a fault-tolerant controller is proposed to compensate for the actuator failures. The full-state constraint problem is solved using the tangent Barrier Lyapunov function, and the unknown nonlinear function is approximated by fuzzy-logic systems (FLSs). Simulation results demonstrate the effectiveness of the proposed control strategy.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Huaguang Zhang, Yunfei Mu, Zhiyun Gao, Wei Wang
Summary: This article focuses on exploring observer-based actuator fault and sensor fault reconstruction associated with fault-tolerant control for nonlinear systems approximated by the Takagi-Sugeno fuzzy method. A new unknown input observer is designed to reconstruct unknown state, sensor, and actuator faults simultaneously, leading to the establishment of a fault-tolerant control scheme with stability criteria deduced via fuzzy Lyapunov functions.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yu Xiong, Yifei Wu, Zhengrong Xiang
Summary: This paper proposes a strategy to address the decentralized fuzzy adaptive output feedback fault-tolerant control problem for nonlinear switched large-scale systems with sensor faults and unknown control gains. A novel state observer is designed to estimate unmeasured states and address unknown control gains; decentralized FTC controllers are designed based on backstepping technique and average dwell time method, ensuring that all states of the closed-loop system are semiglobal uniformly ultimately bounded and tracking errors converge to a small neighborhood of zero.
IEEE SYSTEMS JOURNAL
(2022)
Article
Automation & Control Systems
Yan-Hui Jing, Guang-Hong Yang
Summary: This paper proposes an observer-based fuzzy adaptive fault-tolerant tracking control method for uncertain nonlinear systems. By utilizing high gain state observer and disturbance observer, robust tracking performance is improved, introducing barrier-type functions and combining with projection technique to address related issues.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Computer Science, Artificial Intelligence
Yingkang Xie, Qian Ma, Zhen Wang
Summary: This article introduces an adaptive fuzzy event-triggered controller design for nonstrict nonlinear systems, utilizing a high-gain fuzzy state observer and backstepping technique. A new switching threshold event-triggered mechanism is proposed to avoid Zeno behavior.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Qingkun Yu, Xiqin He, Libing Wu, Liangdong Guo, Yuhan Hu
Summary: This study introduces an adaptive event-triggered tracking control scheme, which utilizes a fuzzy observer to estimate unmeasurable states and integrates a sign function to dynamically compensate for errors. The proposed control strategy ensures that signals in the closed-loop systems are bounded, and that tracking errors can be regulated to a compact set around the origin in finite time.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Rongchang Li, Ying Yang
Summary: This article investigates fault estimation and fault-tolerant control for Takagi-Sugeno fuzzy stochastic singular systems. A new method is proposed using an augmented singular sliding-mode observer and an adaptive sliding-mode controller. A sufficient condition in terms of linear matrix inequalities is provided to guarantee fault estimation and system stability, and the effectiveness of the method is verified through two examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Yuan Yuan, Xiaodong Xu, Chunhua Yang, Biao Luo, Stevan Dubljevic
Summary: This article proposes a robust adaptive boundary output regulation approach for complex anticollocated hyperbolic partial differential equations. It introduces the internal model principle and sliding mode control for regulator design, and applies a novel concurrent learning adaptive observer for fault estimation and exponential output regulation.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
Yu-kai Fu, Guang-Hong Yang, Hong-Jun Ma, Hao Chen, Bo Zhu
Summary: This article introduces a statistical fault diagnosis method that combines Kalman filter and generalized likelihood ratio test to detect fixture faults in the car body-in-white assembly process. The method accurately identifies the occurrence and location of faults, and effectively reduces false alarms and missed alarms.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Li-Ning Liu, Guang-Hong Yang
Summary: This article studies distributed cooperative resource management for Microgrids. A distributed fixed-time consensus algorithm is proposed to optimally allocate energy between generation participants and load participants. The algorithm offers high flexibility, strong robustness, and better privacy, while supporting switching topology. Numerical simulations validate the effectiveness of the algorithm.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Jian Kang, Ge Guo, Guanghong Yang
Summary: This paper investigates the distributed optimization problem for heterogeneous linear multi-agent systems with uncertain parameters and external disturbances. By transforming the problem into an output regulation problem and using a distributed optimization algorithm, a robust optimization framework for uncertain systems is proposed.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Automation & Control Systems
Li-Ning Liu, Guang-Hong Yang
Summary: This article investigates the distributed push-pull gradient optimization algorithm over a directed communication network under false data injection attacks. The convergence of the algorithm under these attacks is analyzed, and conditions are provided to ensure convergence. Additionally, a distributed reputation-based neighborhood-observe strategy is proposed to detect and isolate malicious agents in the network. Unlike existing resilient strategies, this strategy completely eliminates the influence of false data on the algorithm, ensuring that the remaining normal agents can converge to the optimal solution. The effectiveness of the proposed strategy is validated through examples.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Automation & Control Systems
Xiu-Xiu Ren, Guang-Hong Yang
Summary: This article studies the filtering problem for a class of stochastic nonlinear system under non-Gaussian-Levy noise and cyber attacks. A modified Kalman filter is proposed to handle the extremely large values caused by the Levy noises and minimize the error covariance by designing filter parameters. In addition, convergence analysis of the filtering error and a boundedness condition for the upper bound are provided.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Jing-Jing Yan, Guang-Hong Yang, Xiao-Xu Liu
Summary: This article investigates the problem of secure state estimation for nonlinear industrial cyber-physical systems (ICPSs) with multiple transmission channels subject to denial-of-service (DoS) attacks. A new nonlinear resilient observer scheme is proposed using a multigain switching mechanism and Takagi-Sugeno fuzzy models, quantifying resilience by attack duration and frequency. Compared to existing results on linear ICPSs with single transmission channels, the secure estimation problem for nonlinear ICPSs with multiple channels is more challenging and has greater practical significance. The effectiveness of the scheme is illustrated through simulation and experimentation on a rigid robot system and a rotary inverted pendulum.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Xiao-Guang Zhang, Guang-Hong Yang, Xiu-Xiu Ren
Summary: This article investigates stealthy attacks on cyber-physical systems using the stochastic communication protocol (SCP) to avoid data collisions. The attack's stealthiness is measured by the Kullback-Leibler divergence, and the attack performance is measured by the corrupted error covariance. The proposed attack strategy takes SCP-introduced effects into account and uses incomplete measurement outputs at each time instant to construct an attack model. A nonconvex optimization problem is formulated to achieve the desired attack performance for a given stealthy level. Analytical expressions for the attack parameters are derived, and simulations and experiments are conducted to validate the proposed theoretical results.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Xiu-Xiu Ren, Guang-Hong Yang, Xiao-Guang Zhang
Summary: This article focuses on designing a strictly stealthy attack strategy against multisensor cyber-physical systems under the round-robin protocol. A novel protocol-based attack model is developed and an optimization problem is formulated to solve the optimal attack parameters. Experiments on a monitoring system are conducted to verify the results.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Xiao-Guang Zhang, Guang-Hong Yang, Xiu-Xiu Ren
Summary: This article presents a design of stealthy attack against industrial cyber-physical systems using the random access protocol (RAP) to avoid data collisions. The goal is to develop an optimal attack that decreases the estimation performance while maintaining strict stealthiness. Due to the limitations of RAP, only a portion of transmitted data can be utilized for constructing attack signals, posing challenges to attack design. The article derives a novel modified algebraic Riccati equation (MARE) to establish the precondition for attack design, and a sufficient condition for the existence of the steady state of the modified Kalman filter is provided. The optimal attack strategy is obtained by solving a convex optimization problem, and analytical optimal attack parameters are presented and proven. Experiments and simulations are conducted to validate the findings.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
An-Yang Lu, Guang-Hong Yang
Summary: This article investigates the problem of attack detection and identification for cyber-physical systems under sparse sensor attacks. It proposes a novel candidate set construction algorithm to efficiently generate the candidate set containing all possible sets of corrupted channels. It also introduces a unified attack model and necessary and sufficient conditions for undetectable/unidentifiable attacks, and proposes a new attack detection and identification strategy.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Xiang-Yu Kong, Guang-Hong Yang
Summary: This article investigates the problem of intrusion detection of stealthy false data injection (FDI) attacks in train-ground communication systems. An intrusion detection method is proposed based on the self-generated coding technology, improving the security of data transmission. Furthermore, a defence model is established to reconstruct the position information of compromised trains, and the effectiveness of the proposed method is verified through simulation experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Cheng-Yuan Sun, Guang-Hong Yang
Summary: This article introduces a hierarchical data-driven (HDD) method for quality-related fault diagnosis in industrial systems. The proposed approach uses ensemble learning to avoid selecting the optimal kernel parameter, reducing computation costs. Additionally, a novel quality-related fault diagnosis scheme is designed to monitor faults and reveal trends in the quality state. The effectiveness of the proposed method is demonstrated through simulation and industrial cases.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Li-Ning Liu, Guang-Hong Yang
Summary: This article studies the coordination economic dispatch problem for distributed energy resources, and proposes a switched distributed coordination algorithm to solve the problem over an unreliable communication network with DoS attacks. The algorithm integrates normal mode and attack mode, and limits the impact of attacks on convergence and optimality. It guarantees the exponential convergence of the algorithm under DoS attacks.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Jipeng Zhao, Guang-Hong Yang
Summary: This article studies the problem of finite-time adaptive resilient control for MIMO nonlinear switched systems with unknown dead zone and unknown false data injection (FDI) attacks. A new coordinate transformation is designed to address the negative impact of FDI attacks, and the Nussbaum gain technique is introduced to deal with the difficulty of unknown time-varying weights caused by FDI attacks. A finite-time resilient control algorithm is designed based on the common Lyapunov function method, which ensures bounded signals of the closed-loop systems under arbitrary switching rules, even in the presence of unknown FDI attacks. The proposed control algorithm enables the controlled systems to reach an equilibrium state in a finite time and removes the assumption of positive attack weights. A practical simulation example demonstrates the validity of the designed control method.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Li-Ning Liu, Guang-Hong Yang, Saud Wasly
Summary: This article investigates the coordination dual-mode energy management problem for a microgrid, proposing a novel distributed algorithm that adaptively responds to mode switching and obtains optimal operation in a distributed way. Compared with existing algorithms, this algorithm has a predefined convergence time and an event-triggered communication strategy, greatly reducing communication resource consumption.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
