Article
Automation & Control Systems
Muhammad Shamrooz Aslam, Irfan Qaisar
Summary: This article investigates the problem of distributed extended dissipativity consensus filtering over the mobile sensor environment wherein each sensor communicates through an event. A unified approach is proposed to address the fuzzy filtering problem considering H∞, L2-L∞, and dissipative performance constraints. The event-triggering scheme is determined by event-based data processors (EDPs) to decide whether the sampled-data needs to be transmitted. By transforming it into an error system with an interval time-varying delay, a new fuzzy Lyapunov-Krasovskii approach is derived to solve the distributed event-triggered dissipative consensus filtering problem in the form of Linear Matrix Inequality (LMIs). Finally, a unified algorithm for co-designed filter gains and threshold parameters at the event condition is presented using an engineering example.
EUROPEAN JOURNAL OF CONTROL
(2023)
Article
Computer Science, Theory & Methods
Rong Zhao, Lu Liu, Gang Feng
Summary: This paper investigates the problem of asynchronous fault detection filtering design for continuous-time Takagi-Sugeno (T-S) fuzzy affine dynamic systems in the finite-frequency domain. The objective is to design an admissible piecewise affine filter that ensures the asymptotic stability of the filtering error system and meets the prescribed finite-frequency H-/H-infinity performance. The proposed design approach utilizes the S-procedure, the generalized Kalman-Yakubovic-Popov lemma, piecewise quadratic Lyapunov functions, Projection lemma, and matrix inequality linearization techniques.
FUZZY SETS AND SYSTEMS
(2023)
Article
Automation & Control Systems
Zhaoxia Duan, Fangyin Ding, Jinling Liang, Zhengrong Xiang
Summary: This paper considers the observer design problem for fault detection in nonlinear continuous-discrete systems with the Takagi-Sugeno fuzzy scheme and finite frequency specification. Two finite frequency performance indices H- and H ∞ are introduced to evaluate the sensitivity to faults and the robustness against disturbances in finite frequency domains. Based on the H-/H ∞ technique, the research aims to design a fault detection observer for the system under consideration. Sufficient conditions are derived to guarantee the asymptotic stability, fault sensitivity, and disturbance robustness of the residual error system. Simulation results further demonstrate the effectiveness of the proposed approach. ©2023 Elsevier Ltd. All rights reserved.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2023)
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
Xiaoyuan Zheng, Hao Zhang, Zhuping Wang, Changzhu Zhang, Huaicheng Yan
Summary: This article investigates the problem of distributed H-infinity filtering in finite-time horizon for a class of Takagi-Sugeno (T-S) fuzzy systems with sensor saturation and unknown bounded noise. A dynamic event-triggered mechanism (ETM) is proposed to consider the network bandwidth limitation. By applying the partition approach to address the asynchronous problem of premise variables induced by ETM, a novel piecewise T-S fuzzy distributed H-infinity filtering is derived. The sufficient conditions for the finite-time H-infinity performance of the estimation error system are given through constructing the Lyapunov function. Furthermore, the optimal problem of disturbance attenuate parameter gamma is solved to minimize the interference from disturbance to distributed filtering. A simulation example is conducted to verify the effectiveness of the proposed algorithm.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Acoustics
Haohan Yang, Qingwei Liu, Yongchao Zhang, Fan Yu
Summary: This paper proposes an improved adaptive sliding mode fault-tolerant control strategy for a magnetorheological semi-active suspension system with parametric uncertainties and actuator faults. It establishes a learning-based magnetorheological damper model using experimental data and employs the Takagi-Sugeno fuzzy approach to handle uncertainties. An adaptive sliding mode fault-tolerant controller is proposed and its effectiveness is verified through numerical simulation tests.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Rong Zhao, Lu Liu, Gang Feng
Summary: This article deals with the finite-frequency H-/H-infinity memory fault detection filtering problem for discrete-time Takagi-Sugeno fuzzy affine systems with norm-bounded uncertainties. It focuses on designing a piecewise affine memory filter using system historical information to ensure the resulting closed-loop filtering error system is asymptotically stable with the prescribed finite-frequency H-/H-infinity performance.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Wenhan Zhang, Zhenhua Wang, Tarek Raissi, Yi Shen
Summary: This paper introduces a novel fault detection method for Takagi-Sugeno fuzzy systems through multiple observer design and ellipsoidal analysis. The original system is divided into a limited number of fault modes by considering one fault distribution matrix at a time. For each fault mode, an observer is designed to generate the residual signal with finite-frequency fault sensitivity performance and full-frequency unknown inputs robustness performance. Ellipsoidal analysis is employed to evaluate the residual and provide a fault detection index for each mode. The fault detection result is obtained by combining the multiple indices using logical operation. Numerical simulations and experiments on an AC servo motor platform validate the viability and effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Jian Liu, Gen Zhao, Yongbao Wu, Changyin Sun
Summary: This article focuses on the bounded stabilization issue for stochastic Takagi-Sugeno (T-S) fuzzy systems with external disturbances under fuzzy intermittent event-triggered control. A new intermittent control scheme based on an event-triggered mechanism is proposed, reducing unnecessary sampling times and resource waste. A novel Lyapunov function is introduced to simplify the proof process, and a less conservative bounded stability criterion is established.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Xiao-Lei Wang, Guang-Hong Yang, Dianhua Zhang
Summary: This article addresses the problem of event-triggered fault detection observer design for Takagi-Sugeno fuzzy systems, proposing switched fuzzy FD observers based on online asynchronous premise reconstruction. The use of new Lyapunov functions shows that the proposed FD observers can ensure system stability and desired performance.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Hao Wang, Yunfeng Kang, Lina Yao, Hong Wang, Zhiwei Gao
Summary: This article discusses fault diagnosis and fault tolerant control for a class of Takagi-Sugeno fuzzy stochastic distribution control systems, proposing an adaptive observer and fuzzy feedback fault tolerant controller to handle sensor and actuator faults simultaneously.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Yue Wu, Zhaojun Yang, Jili Wang, Wei Hu, N. Balakrishnan
Summary: In T-S fuzzy fault tree analysis, a new method is proposed to construct T-S gates based on the importance of the basic events instead of solely relying on historical data and expert experience. The importance index of basic events can be solved through Monte Carlo simulation. The method is suitable for systems where exact information on fault probabilities and the magnitude of failure is not available, and it provides data for fault diagnosis and preventive maintenance.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Chathura Wanigasekara, Liruo Zhang, Akshya Swain, Sing Kiong Nguang
Summary: This study proposes a Delta-M-based quantised state feedback controller for T-S fuzzy networked systems, deriving gains of the controller and quantiser using LMIs to ensure system stability and demonstrating performance under ZigBee protocol, showing effective achievement of desired performance under various imperfections.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Engineering, Aerospace
Tiantian Luan, Mingxiao Sun, Zhanyong Hu, Qiang Fu, Hao Wang
Summary: The efficiency of spare part transportation affects the sortie generation rate of aircrafts. Transportation strategy should consider both demand and inventory, while transportation time and stochastic demand may lead to fluctuations in cost and inventory. However, a robust control strategy can ensure continuous parts supply.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Automation & Control Systems
Jingyang Mao, Xiangyu Meng, Derui Ding
Summary: This article addresses the problem of state estimation for discrete-time nonlinear systems with unknown-but-bounded noises by using fuzzy set-membership filtering. An improved T-S fuzzy model is introduced to achieve accurate approximation, and two types of fuzzy set-membership filters are proposed to improve filtering performance. Real-time recursive algorithms are given to find the minimal ellipsoid containing the true state.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Engineering, Electrical & Electronic
Jiahui Wang, Yabin Gao, Yue Zhao, Zhiguang Feng, Jianxing Liu
Summary: A dynamic sliding-mode variable-structure control (VSC) combined with fuzzy neural networks (FNNs) is proposed for voltage tracking control in DC-DC boost converters. Two types of FNNs are used to approximate uncertainties, with the control system analyzed to be boundedly stable under this method. Validation and superiority of the proposed dynamic VSC method are demonstrated through comparative simulations.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Zhuang Liu, Xinpo Lin, Yabin Gao, Ruiqi Xu, Jiahui Wang, Yijie Wang, Jianxing Liu
Summary: This paper investigates the fixed-time control problem of DC-DC buck converter systems with mismatched disturbances. Sliding mode fixed-time observers are constructed to estimate the matched and mismatched disturbances, and a novel segmented terminal sliding mode control variable considering the mismatched disturbances is designed. Additionally, a new second-order fixed-time reaching law is proposed to improve the tracking performance. A novel fixed-time nonsingular TSMC method based on the fixed-time observers is proposed to achieve accurate control in a fixed-time independent of the initial state. Comparative experiments are conducted to validate the effectiveness and practicality of the proposed control strategy.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Engineering, Electrical & Electronic
Zhuang Liu, Ouyang Zhang, Yabin Gao, Yue Zhao, Yizhuo Sun, Jianxing Liu
Summary: This paper investigates the problem of fixed-time trajectory tracking control of uncertain robotic systems. An adaptive radial basis function neural network is designed to estimate the model uncertainties and viscous frictions in robotic systems. A segmented terminal sliding mode control variable is adopted to alleviate the singularity problem. A new second-order fixed-time reaching law is designed to improve the tracking performance. A novel fixed-time non-singular TSMC based on the adaptive neural network is proposed to make the tracking errors converge to a small neighborhood of the origin in a fixed-time independent of the initial state. The experimental results demonstrate the effectiveness and advantage of the proposed control method.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Automation & Control Systems
Peng Gu, Zhimin Liu, Honglu Guan, Yijie Wang, Jianwei Mai, Yuhao Zhou, Jianxing Liu, Dianguo Xu
Summary: This article proposes a 2.5m five-stage inductive power transfer system based on domino cylindrical solenoid coupler. The system is designed for 220 kV post insulators application in smart grids to transfer power for sensors and measuring instruments. By using the distributed series compensation method, the system can significantly reduce the current in the main circuit and effectively reduce the resistance caused by stray capacitance. The article also analyzes the interaction between the post insulator and the magnetic coupling structure, as well as presents a circuit model with constant voltage output characteristics. The prototype achieves a maximum efficiency of 66.7% and can still maintain an efficiency of 62% when transferring higher power.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Chengwei Wu, Wei Pan, Rick Staa, Jianxing Liu, Guanghui Sun, Ligang Wu
Summary: This paper investigates the secure control problem for cyber-physical systems (CPS) under false data injection attacks using deep reinforcement learning. A novel method based on the soft actor-critic learning algorithm is proposed to train a secure policy for CPS under attacks. In addition to the convergence of the learning algorithm, the stability of the system using the learned policy is also proved, which is crucial for security and stability-critical applications. Experimental results on satellite attitude control system and robot arm system demonstrate the effectiveness of the proposed scheme, highlighting the advantages of the control algorithm designed in this paper.
Article
Engineering, Electrical & Electronic
Yunfei Yin, Lei Liu, Sergio Vazquez, Ruiqi Xu, Zejiao Dong, Jianxing Liu, Jose I. Leon, Ligang Wu, Leopoldo G. Franquelo
Summary: This article proposes an adaptive optimal control scheme to minimize the effect of disturbances and uncertainties of permanent magnet synchronous motor (PMSM). An adaptive speed controller is designed in the speed regulation loop, which regulates the speed perfectly and is robust against parameter variations and external disturbances. The stability of the proposed speed controller is proven using Lyapunov theory. A PI-type optimal current controller is established in the inner control loop to achieve current tracking and limitation, and the proposed controller can balance between control input magnitude and current tracking error.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Computer Science, Artificial Intelligence
Weiran Yao, Yang Chen, Jinyu Fu, Dong Qu, Chengwei Wu, Jianxing Liu, Guanghui Sun, Liming Xin
Summary: This paper presents an evolutionary utility prediction matrix (EUPM) method to solve the input-output-coupled mission planning problem for a UAV swarm in an urban scenario. A structured framework and improved input-output coupling relationships for the mission planning subproblems are designed. Simulations and experiments show that the EUPM method achieves accurate utility prediction and effective mission planning solutions.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2023)
Review
Computer Science, Interdisciplinary Applications
Liuping Wang, Zhan Zhang, Dakuo Wang, Weidan Cao, Xiaomu Zhou, Ping Zhang, Jianxing Liu, Xiangmin Fan, Feng Tian
Summary: Artificial intelligence technologies are increasingly applied in clinical decision support systems to improve clinical work. This study conducted a systematic review to understand how AI-empowered CDSS was used, designed, and evaluated, and how clinician users perceived such systems. The findings highlighted the challenges and discussed design implications and future research directions.
FRONTIERS IN COMPUTER SCIENCE
(2023)
Article
Energy & Fuels
Xiaoning Shen, Jianxing Liu, Hao Lin, Yunfei Yin, Abraham Marquez Alcaide, Jose I. Leon
Summary: This paper proposes a two-stage control strategy for the three-level neutral-point-clamped (NPC) converter in dc microgrids. The strategy includes an adaptive sliding mode control (ASMC) and a nonlinear high-gain observer (HGO) to enhance the transient response and disturbance rejection capacity of the converter.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Automation & Control Systems
Yanqi Lu, Chengwei Wu, Weiran Yao, Guanghui Sun, Jianxing Liu, Ligang Wu
Summary: This article introduces a control algorithm based on reinforcement learning to address the uncertainties in cable-driven parallel robots (CDPRs) and improve control performance.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Chang Liu, Yueshi Guan, Jianxing Liu, Yijie Wang, Dianguo Xu
Summary: This article proposes a power modulation strategy that improves linearity, power capability, and efficiency simultaneously. The on/off and Outphasing control modes are combined to ensure shallow phase depth in a wide power range. Hybrid modules composed of load independent class f(2) structure and symmetrical class f(2) structures are adopted to match the proposed control scheme, providing constant output voltage in the zero voltage switching (ZVS) state. With optimal efficiency and minimal voltage and current stress, the proposed system can linearly regulate power. An implementation with four modules demonstrates seamless and linear control of output power with efficiency within 82%-93.5%.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Jiahui Wang, Yabin Gao, Zhiguang Feng, Guanghui Sun, Jianxing Liu, Ligang Wu
Summary: This article addresses the problem of sliding-mode variable-structure control (VSC) under dynamic event-triggered communication in hidden Markov jump systems over sensor networks. A round-robin protocol (RRP)-based event-triggering communication mechanism is proposed to alleviate communication burden. New static output-feedback VSC laws are designed with an interval type-2 fuzzy neural network for approximating uncertainties. The paper develops techniques to analyze the RRP-based Markov jump system in continuous time and provides sufficient conditions for semiglobal practical finite-time stochastic stability. Numerical simulations confirm the feasibility of the proposed method.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Automation & Control Systems
Jinyu Fu, Guanghui Sun, Jianxing Liu, Weiran Yao, Ligang Wu
Summary: This article addresses a hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP) and proposes approaches for optimal hierarchical coverage and multi-UAV collaboration in a 3-D complex obstacle environment. The proposed strategies include a multi-UAV multilayer projection clustering algorithm, a straight-line flight judgment, and an improved adaptive window probabilistic roadmap algorithm. The sequencing-bundling-bridging framework is used to solve the TSP with obstacles constraints. Simulation experiments demonstrate the feasibility of the proposed strategies in complex obstacle environments for HMDTSP.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Jinyu Fu, Weiran Yao, Guanghui Sun, Jianxing Liu, Ligang Wu
Summary: This article proposes a novel multi-objective coverage path planning recombination framework to address the problem of full coverage path planning for unmanned vehicles in an obstacle environment. By utilizing methods such as coordinate system transformation and multi-cell recombination, the solution space and trajectory planning performance are optimized. The results demonstrate that the proposed framework can provide an optimal solution to the problem.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Proceedings Paper
Automation & Control Systems
Cheng Li, Xiaoning Shen, Fei Yan, Yabin Gao, Jianxing Liu
Summary: A novel control strategy for the air feed system of PEMFC is proposed in this paper, where an extended state observer is designed to estimate the cathode pressure and the dynamic characteristics of the system are achieved through a parameterized controller. Simulation results demonstrate the effectiveness of the proposed control strategy.
2023 2ND CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, CFASTA
(2023)
