Article
Engineering, Electrical & Electronic
Wenhai Qi, Yanjing Yi, Guangdeng Zong, Choon Ki Ahn, Huaicheng Yan
Summary: This study investigates the finite-time control problem for discrete-time positive systems subject to event-triggered scheme and Markov jump parameters. An improved event-triggered scheme is proposed using switching transition probability and linear programming.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Computer Science, Theory & Methods
Guangdeng Zong, Xue Sun, Dong Yang, Shun-Feng Su, Kaibo Shi
Summary: This paper investigates the finite-time H-infinity control problem for switched fuzzy systems using the edge-dependent average dwell time switching. A dynamic event-triggered mechanism is adopted to alleviate communication pressure, and an adaptive law is set up to adjust the threshold on-line, which deeply affects the triggering times. It is rigorously proved that the Zeno behavior is excluded. A set of dynamic event-triggered controllers and edge-dependent average dwell time switching signals are co-designed to achieve desired performance. Finally, a chemical reaction example is given to validate the effectiveness of the proposed method.
FUZZY SETS AND SYSTEMS
(2023)
Article
Automation & Control Systems
Xia Huang, Wenjin Li, Zhen Wang, Jianwei Xia, Hao Shen
Summary: In this article, the exponential stabilization of delayed switched linear systems with asynchronous switching is achieved through discrete dynamic event-triggered control. A procedure for the feedback gain design is provided. Simulation example is used to verify the effectiveness and superiority of the proposed control scheme and obtained results.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Jiarui Li, Yugang Niu, Jun Song
Summary: This article investigates the sliding mode control for continuous-time systems under the requirement of finite-time boundedness, focusing on utilizing limited state information to achieve FTB of the closed-loop system. By changing the continuous-time SMC law into an implementable form dependent on available sampled state via event triggering transmission, the controlled system's state trajectory can be driven onto a specified sliding surface within a finite time, and then remain within a domain around this sliding surface. The known partitioning strategy on SMC with FTB is infeasible due to the periodic event-triggered scheme, so an analysis of the FTB over the whole given time and a selection condition on the robust term are provided via the given time parameter, with numerical simulation results illustrating the proposed periodical event-triggered SMC scheme.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Xue Sun, Dong Yang, Guangdeng Zong
Summary: This paper presents a novel switching dynamic event-triggered mechanism to address the boundedness H-infinity control problem for switched fuzzy systems. By designing internal variables and establishing a Lyapunov-like function, the performance of the proposed mechanism is ensured. The effectiveness of the method is validated through an example.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Automation & Control Systems
Yanliang Cui, Lanlan Xu
Summary: This paper presents an event-triggered control method for switching linear systems. By constructing a switching-mode independent dynamic event-trigger method, the data transmission amount of the communication network can be reduced. A mode-dependent feedback control law is proposed based on the received discrete-time state measurements, and a controller design method based on average dwell time is used. It is proven that the closed-loop system achieves Zeno-free mean square bounded exponentially stable.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Automation & Control Systems
Hongsheng Hu, Shipei Huang
Summary: This paper investigates the finite-time boundedness problem of a class of cascade switched affine nonlinear systems. A dynamical event-triggered scheme is proposed to avoid unnecessary waste of network communication and achieve Zeno behavior exclusion. Sufficient conditions for the existence of controller gains are derived using average dwell time method and multiple Lyapunov function technologies, which ensure finite-time boundedness and finite-time disturbance attenuation performance. The effectiveness of the proposed method is illustrated through a numerical example.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Jijing Zhuang, Xikui Liu, Yan Li
Summary: This article presents a framework for annular finite-time H-infinity filtering problem for discrete-time mean-field stochastic systems with state- and disturbance-dependent noise. Both static and dynamic event-triggered mechanisms are introduced, which are related to two different thresholds and internal variables, respectively. Based on mean-field theory and the Lyapunov functional method, two groups of sufficient conditions are derived to ensure the filtering error systems have annular finite-time boundedness under an H-infinity performance level. Then, the desired filter gains can be obtained by solving two convex optimization problems. Finally, two numerical examples are given to show the validity of the proposed results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Huaicheng Yan, Hao Zhang, Xisheng Zhan, Yueying Wang, Shiming Chen, Fuwen Yang
Summary: This paper investigates the sliding mode control problem for a class of continuous-time switched neural networks with MDADT, and proposes a novel sliding mode controller based on an event-triggered mechanism. The sufficient conditions for stochastically exponentially stable closed-loop system are derived.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Zhongyang Fei, Shuang Shi, Choon Ki Ahn, Michael Basin
Summary: This article studies finite-time H-infinity control for continuous-time-switched Takagi-Sugeno fuzzy systems with mode-dependent average dwell-time (MDADT) switching. The dynamic event-triggered mechanism is used to monitor data transmission, reducing the amount of transmitted data more efficiently compared to conventional static methods. The proposed control scheme is validated through simulation examples, demonstrating its effectiveness and advantages.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Mathematics, Applied
Meng Hou, Deyou Liu, Lei Fu, Yuechao Ma
Summary: In this article, a finite-time cluster synchronization (FTCS) criterion is established for Markov jump complex dynamic networks (MJCDNs) with actuator faults, using quantized dynamic event-triggered (ET) and adaptive fault-tolerant control mechanisms. A novel adaptive controller is designed and appropriate Lyapunov functions are applied to eliminate the effects of actuator faults. A more universal dynamic ET control mechanism for MJCDNs is considered, which effectively reduces the network load and eliminates Zeno behavior. The validity of the theory is verified through numerical simulation examples.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Automation & Control Systems
Xueliang Wang, Jianwei Xia, Na Zhang, Miao Yu, Xiaoxiao Guo
Summary: This article addresses the problem of dynamic event-triggered tracking control for nonlinear switched systems with uncertain nonlinearities. By combining neural network control technology, mode-dependent average dwell time switching rule, and dynamic event-triggered strategy, a valid adaptive control scheme is proposed. The scheme guarantees the boundedness of all signals in the resulting closed-loop system and the convergence of the tracking error to a small neighborhood of the origin under a class of switching signals with MDADT property. Unlike existing tracking control schemes, the proposed dynamic event-triggered strategy reduces unnecessary transmissions from the controller to the actuator, thus better saving network resources. The effectiveness of the proposed control design is verified through numerical simulation.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
Yinsheng Song, Guanqi Wang, Feng Li, Hao Shen, Jing Wang
Summary: This paper addresses the issue of dynamic event-triggered H-infinity control for singularly perturbed switched systems with a persistent dwell-time switching regularity. The dynamic event-triggered mechanism is introduced to reduce unnecessary data transmission, allowing the system to maintain desired performance with better resource efficiency. A criterion that is independent of the singular perturbation parameter is derived to ensure globally uniform exponential stability with H-infinity performance for the persistent dwell-time switched singularly perturbed systems. A method for calculating the gains of the desired controller is presented based on this criterion. A numerical example is provided to demonstrate the rationality and validity of the proposed method.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
Chenhong Zhu, Xiaodi Li, Jinde Cao
Summary: This paper addresses the issues of finite-time bounded (FTB) and finite-time H-infinity control for nonlinear impulsive switched systems by proposing sufficient conditions and designing a hybrid dynamic output feedback controller. The effectiveness of the results is demonstrated through numerical examples.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Automation & Control Systems
Ying Sun, Xin Tian, Guoliang Wei
Summary: This paper focuses on finite-time distributed resilient state estimation subject to hybrid cyber-attacks. An improved dynamic event-triggered mechanism is proposed for information exchanges among estimators, with a time-varying threshold updated by artificial internal dynamics. By using Lyapunov stability theory combined with the S-procedure, a sufficient condition is developed for stochastic finite-time boundedness of augmented error dynamics. The desired estimator gains are obtained through the solution to matrix inequalities involving communication topology, cyber-attack probabilities, and uncertainty of gain matrices. The effectiveness of the designed distributed state estimator is illustrated with a numerical example.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Automation & Control Systems
Shuai Liu, Zidong Wang, Guoliang Wei, Maozhen Li
IEEE TRANSACTIONS ON CYBERNETICS
(2020)
Article
Computer Science, Information Systems
Shuai Liu, Zidong Wang, Bo Shen, Guoliang Wei
Summary: This paper studies partial-neurons-based state estimation problem for delayed neural networks with state-dependent noises under redundant channels. The main goal is to design a state estimator to estimate neurons' state using a small fraction of sensor measurements with a sufficient condition provided to ensure exponentially mean-square bounded estimation error dynamics. The estimator gain is acquired by minimizing an asymptotic upper bound of the estimation error, and a numerical simulation is carried out to demonstrate the usefulness of the presented estimator design scheme.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Shuai Liu, Xiaoxiao Zhao, Engang Tian, Guoliang Wei
Summary: This article addresses the problem of distributed recursive filtering for a class of time-varying multirate systems in sensor networks with randomly occurring nonlinearities and the communication protocol. The lifting technique is proposed to transform the multirate system into a single-rate system, and the random access protocol (RAP) scheduling is applied to avoid data collisions. The design of a distributed recursive filter is focused on in order to obtain an upper bound for the filtering error covariance with the mathematical induction method and recursively calculate the filter parameters by minimizing the upper bound.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Shuai Liu, Zidong Wang, Licheng Wang, Guoliang Wei
Summary: In this study, a set-membership state estimator design scheme based on the FlexRay protocol is proposed. By introducing a new expression and a multirate model, the true states are guaranteed to always reside in an ellipsoid at each time instant even in the presence of non-Gaussian noises.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Xin Li, Guoliang Wei, Derui Ding, Shuai Liu
Summary: This article investigates recursive filtering for time-varying discrete sequential systems under weighted try-once-discard protocols. A recursive algorithm is developed to optimize filtering performance, and the convergence of the proposed algorithm is discussed profoundly using mathematical induction.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Shuai Liu, Zidong Wang, Licheng Wang, Guoliang Wei
Summary: This article develops a pinning control strategy for the finite-horizon H-infinity synchronization problem in a kind of discrete time-varying nonlinear complex dynamical network in a digital communication circumstance. A feedback-type dynamic quantizer is introduced to comply with the digitized data exchange, and a quantized pinning control scheme is applied on a small fraction of the network nodes to reduce control expenses while achieving the desired global synchronization objective. The article establishes a sufficient condition using the completing-the-square technique to ensure the finite-horizon H-infinity index of the synchronization error dynamics against quantization errors and external noises. A controller design algorithm is proposed based on an auxiliary H-2-type criterion, and the desired controller gains are obtained through two coupled backward Riccati equations. The validity of the presented results is verified through a simulation example.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Engineering, Electrical & Electronic
Licheng Wang, Engang Tian, Changsong Wang, Shuai Liu
Summary: This paper addresses the issue of secure estimation for the state of charge of Lithium-ion batteries in the context of malicious attacks during data transmission from sensors to cloud-based battery management system terminal. It introduces a second-order resistance-capacitance equivalent circuit model for describing the internal dynamics of lithium-ion batteries, with parameters identified using Kalman filter in an off-line manner. The paper then proposes a chi(2) detection mechanism to detect real-time malicious attacks, and designs a secure estimator to mitigate the impact of attacks on the estimation performance. Experimental results under Federal Urban Driving Schedule condition validate the effectiveness of the proposed attack detection approach and estimation scheme.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Automation & Control Systems
Shuai Liu, Zidong Wang, Licheng Wang, Guoliang Wei
Summary: This article addresses the finite-horizon H-8 filtering problem of discrete time-varying nonlinear systems over high-rate networks using the FlexRay protocol. The deployment of a high-rate network improves the efficiency of data transmission, while the FlexRay protocol increases transmission flexibility. The proposed measurement model, based on the round-robin and try-once-discard protocols, guarantees desirable disturbance attenuation and provides a parameterized form of the filter gain.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Qi Luo, Shuai Liu, Licheng Wang, Engang Tian
Summary: This paper addresses the privacy-preserving distributed optimization problem for a class of cooperative-competitive multi-agent systems. By utilizing signed graph theory and gauge transformation technique, a novel privacy-preserving distributed optimization algorithm is proposed to tackle the issues of information leakage and cooperative-competitive relationships.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Automation & Control Systems
Hui Chen, Engang Tian, Licheng Wang, Shuai Liu
Summary: This article proposes a joint diagnosis and estimation algorithm for lithium-ion batteries' state of charge with sensor measurement outlier. An online outlier detection method is introduced using the chi-square test mechanism to diagnose outlier types. The computational complexity is reduced by requiring only the previous moment's information for each iteration. An outlier-resistant Kalman filtering algorithm is developed by combining the extended Kalman filtering algorithm and the Holt method to prevent the degradation of estimation performance caused by outlier-induced effects. Extensive experiments validate the effectiveness and practicability of the proposed strategy.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Junyong Deng, Shuai Liu, Mengyao Zhang, Changbin Ye
Summary: This paper investigates the suboptimal sequential fusion estimation problem for multisensor multirate networked systems with colored measurement noises under the interference of measurement outliers. The saturation function is used to constrain the innovation polluted by measurement outliers. Due to diverse physical restrictions, the sampling period of the sensor is assumed to be different from the update period of the system state, thereby better reflecting the engineering practice. The lifting technique is used to convert the multirate sampling system into a single-rate form. By solving the matrix difference equation, an upper bound of the filtering error covariance is obtained, and the filter gain is then derived, which can minimize the upper bound of the error covariance. Finally, a simulation example is given to demonstrate the effectiveness of the proposed sequential fusion method for multirate sampling systems under outlier interference.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Miaomiao Fu, Shuai Liu, Guoliang Wei, Hui Li
Summary: This article addresses the problem of distributed joint estimation for a class of discrete-time time-varying systems subject to random nonlinearities and unknown inputs over sensor networks. A dynamic event-triggering mechanism is adopted to govern signal transmission between the sensor and the local estimator for energy-saving purposes. Constraint conditions are introduced to decouple the unknown inputs and eliminate their impact. An upper bound of the filtering error covariance is obtained for the state and unknown input using mathematical induction and solving coupled Riccati-like difference equations. Required distributed estimator gains are acquired by minimizing the obtained upper bounds of filtering error covariances. A numerical simulation demonstrates the effectiveness of the proposed joint estimator design scheme.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Di Zhao, Zidong Wang, Shuai Liu, Qing-Long Han, Guoliang Wei
Summary: This article investigates the PID tracking control problem for a class of linear discrete-time systems under multiple description encoding mechanisms (MDEMs). The data transmissions on the sensor-to-controller channels are subject to random packet dropouts governed by Bernoulli-distributed sequences. An MDEM is proposed to improve the reliability of data transmission by encoding the data into two descriptions of identical importance. A PID tracking controller is developed to ensure ultimate boundedness of the tracking error, and the corresponding controller gains are obtained through an optimization problem. The effect of packet dropouts on decoding accuracy is assessed by examining the boundedness of decoding error. A simulation example is provided to demonstrate the applicability of the proposed PID tracking control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Shuai Liu, Tianlin Xu, Engang Tian
Summary: The paper discusses synchronization control for a type of nonlinear discrete time-delayed complex dynamical networks, utilizing dynamic event-triggering strategy and event-based pinning feedback control strategy, as well as the concept of finite-time boundedness in the mean square to evaluate synchronization control performance.
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS
(2021)
