Article
Automation & Control Systems
Tianlin Xu, Shuai Liu, Guoliang Wei
Summary: This paper investigates the event-triggered finite-time nonfragile H infinity synchronization control problem for a class of discrete time-delayed complex networks with switched topology. The dynamic event-triggering scheme is employed to reduce unnecessary signal transmission and control cost. By constructing appropriate Lyapunov-Krasovskii functional and using the average-dwell-time technique, the desired controller gains are obtained.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Qiang Yu, Guisheng Zhai
Summary: This paper introduces the concepts of Weighted Average Dwell Time (WADT) and Fast Weighted Average Dwell Time (FWADT) for continuous-time switched systems, and investigates their stability under a class of ergodic switching signals. The relationship between different ADT schemes and the WADT scheme is discussed, showing that classic schemes are included in the new one under certain conditions. The proposed switching law based on the (F)WADT scheme is more flexible and has a larger feasible region, and numerical examples are included to illustrate the validity and superiority of the developed techniques.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Yuanyuan Li, Jianquan Lu, A. S. Alofi, Jungang Lou
Summary: This paper investigates cluster synchronization in complex dynamical networks with parameter mismatch. A impulsive control strategy with multiple control gains is proposed, considering the possibility of packet loss in control input. Sufficient conditions for synchronization are derived, taking into account the constraint relationships among rate coefficients, impulsive control law, and packet loss rate.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Automation & Control Systems
Aysegul Kivilcim, Ozkan Karabacak, Rafael Wisniewski
Summary: Recent research has shown that almost global stability of nonlinear switched systems can be characterized using multiple Lyapunov densities. By discussing mode-dependent and edge-dependent average dwell times, the stability of the system is ensured.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Mathematics, Applied
Gokhan Goksu, Ulviye Baser
Summary: This work examines the finite-time stability of switched linear systems with stable, unstable and mixed stable subsystems using vector and matrix norms. New conditions and bounds are proposed and several numerical examples are provided to demonstrate the effectiveness of the theoretical results.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Automation & Control Systems
Qiang Yu, Guisheng Zhai
Summary: A novel concept of L phi DADT is proposed in this paper along with new conditions for stability and stabilization of switched systems. These conditions can be easily calculated through simple linear matrix inequalities.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Fatima Z. Taousser, Seddik M. Djouadi, Kevin Tomsovic
Summary: This paper investigates the stabilization properties of Continuous/Discrete switched systems using dwell time approaches. Stabilizing dwell time and average dwell time conditions are derived by introducing time scales theory, and numerical examples are proposed to demonstrate the effectiveness of the methods. Published by Elsevier Ltd.
Article
Automation & Control Systems
Jing Zhang, Zhengrong Xiang
Summary: In this article, the adaptive decentralized output feedback sensor failure compensation control issue of nonlinear switched interconnected systems is investigated. A new switched state observer is designed for estimating unmeasured states, and a novel adaptive failure compensation mechanism is adopted to address challenges incurred by sensor effectiveness loss. Mode-dependent adaptive laws and backstepping technique are used to construct a decentralized adaptive failure-tolerant controller, which guarantees that system outputs track reference signals and all signals in the closed-loop system are bounded with average dwell time switchings. A practical simulation example is provided to illustrate the effectiveness of the presented scheme.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Computer Science, Artificial Intelligence
Shuang Shi, Zhongyang Fei, Hamid Reza Karimi, Hak-Keung Lam
Summary: This article investigates the problem of event-triggered H-infinity control design for a class of continuous-time switched Takagi-Sugeno fuzzy systems. A new event-trigger mechanism and controller design method are proposed by introducing mode-dependent average dwell-time switching and considering asynchronous phenomenon. The effectiveness of the proposed method is verified through simulation results.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Qiang Yu, Xiaoyan Yuan
Summary: By developing two novel switching schemes - the slow and fast weighted average dwell time, the stability problem for positive switched systems with subsystems stable or partially unstable is investigated. It can be seen that the new schemes cover both the average dwell time and mode-dependent average dwell time schemes under some mild conditions, and stability results based on our proposed approach have lower bound and are more flexible than the existing results. Three numerical examples comparing the relevant results are analyzed to illustrate the efficiency of the new findings.
Article
Computer Science, Information Systems
Tao Sun, Tao Liu, Xi-Ming Sun
Summary: This paper investigates the stability problem of switched linear systems with a class of cyclic switching signals, introducing the concept of average cycle dwell time to relax the conservativeness of cycle dwell time used in the literature. Stability criteria for cyclic switched linear systems with different types of cycle dwell time are derived using multiple Lyapunov functions, and a numerical example is provided to demonstrate the feasibility of the proposed techniques.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Dianhao Zheng, Hongbin Zhang, J. Andrew Zhang, Steven W. Su
Summary: This paper investigates the stability of linear and nonlinear switched systems with sequence-based average preceding dwell time (SBAPDT) and sequence-based average subsequent dwell time (SBASDT), proposing two new analysis methods to reduce the conservativeness of threshold time. A numerical example is provided to demonstrate the superiority of the new approaches.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Qijing Yang, Huaiqin Wu, Jinde Cao
Summary: This paper focuses on the global exponential cluster synchronization of switched fractional-order complex dynamical networks with switching topology and impulses. The impulsive effects are analyzed with multiple Lyapunov functional approach, inequality analysis technique, and pinning control strategy. The theoretical results are verified by two simulation examples.
Article
Automation & Control Systems
Xiaoying Chen, Yang Liu, Bangxin Jiang, Jianquan Lu
Summary: This article investigates the exponential stability problem of switched systems with hybrid delayed impulses that depend on both current states and historical states. Some sufficient conditions for exponential stability based on Lyapunov functions are obtained. The stabilizing and destabilizing effects of time delays in impulses are also explored. The results show that delayed impulses may destabilize the system even when the continuous dynamics are stable. However, under certain conditions and with arbitrarily bounded impulsive intervals, the stability of the whole system cannot be destroyed by delayed impulses, and the sizes of the delays in the impulses can be theoretically arbitrarily finite. Finally, examples and simulations are provided to validate the derived results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Qian Wang, Haoyong Yu, Zheng-Guang Wu, Guoda Chen
Summary: This paper studies the stability analysis of input saturated discrete-time switched systems with average dwell-time based on the parametric discrete-time Riccati equation. State feedback and observer-based output feedback controllers are designed to ensure the exponential stability of the closed-loop system, with the advantage of being easily computed by solving the parametric discrete-time Lyapunov equation. The designed controllers exhibit good robustness to input saturation's structure uncertainty and the simulation results demonstrate the effectiveness of the proposed methods.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Fan Wang, Zidong Wang, Jinling Liang, Carlos Silvestre
Summary: This article addresses the recursive filtering problem of a two-dimensional system array with random sensor failures and dynamic quantizations. The occurrence of sensor failures is governed by a random variable with known statistical properties. To deal with data transmission over networks with limited bandwidth, a dynamic quantizer is utilized to compress raw measurements into quantized ones. The main objective of this article is to design a recursive filter that guarantees a locally minimal upper bound on the filtering error variance. To support the filter design, the states of the dynamic quantizer and the target plant are integrated into an augmented system, which enables the derivation of an upper bound on the filtering error variance and its subsequent minimization at each step. The expected filter gain is parameterized by solving coupled difference equations. Furthermore, the article discusses the monotonicity of the resulting minimum upper bound with respect to the quantization level and investigates its boundedness. Finally, the effectiveness of the developed filtering strategy is demonstrated through a simulation example.
Article
Engineering, Electrical & Electronic
Chuang Wang, Zidong Wang, Weibo Liu, Yuxuan Shen, Hongli Dong
Summary: This article proposes a two-stage deep offline-to-online transfer learning framework (DOTLF) for long-distance pipeline leakage detection (PLD). At the offline training stage, a feature transfer-based long short-term memory network with regularization information (TL-LSTM-Ri) is developed to extract domain-invariant features and early fault features. At the online detection stage, the trained TL-LSTM-Ri is used for motion prediction to monitor the pipeline's operating condition in real time. The DOTLF is successfully applied to real-time PLD on long-distance oil-gas pipeline data, and experimental results demonstrate its effectiveness.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Artificial Intelligence
Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu
Summary: This study proposes a Constraintinduced Symmetric Nonnegative Matrix Factorization (C-SNMF) model for community detection. Experimental results demonstrate that the proposed model significantly outperforms benchmarks and state-of-the-art models in achieving highly-accurate community detection results.
INFORMATION FUSION
(2023)
Article
Computer Science, Artificial Intelligence
Zhongyi Zhao, Zidong Wang, Lei Zou, Yun Chen, Weiguo Sheng
Summary: This paper studies the distributed fusion estimation problem for a class of nonlinear networked systems with unknown-but-bounded (UBB) noises. It proposes a zonotopes-based distributed fusion estimator by designing local estimators and fusion methods. The effectiveness of the proposed method is illustrated through a numerical example.
INFORMATION FUSION
(2023)
Article
Automation & Control Systems
Kaiqun Zhu, Zidong Wang, Qing-Long Han, Guoliang Wei
Summary: This article investigates the distributed set-membership fusion filtering problem for nonlinear 2-D shift-varying systems subject to unknown-but-bounded noises over sensor networks. It introduces a logarithmic-type encoding-decoding mechanism for each sensor node to enhance transmission security and relieve communication burden. A distributed set-membership filter is designed to determine the local ellipsoidal set that contains the system state. A new ellipsoid-based fusion rule is developed to form the fused ellipsoidal set with a globally smaller volume. Sufficient conditions are derived for the existence of the desired distributed set-membership filters and fusion weights.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Derui Ding, Gheorghita Ghinea, Hongjian Liu
Summary: This article investigates the distributed formation-containment (FC) control problem for a class of discrete-time multiagent systems (DT-MASs) under the event-triggered communication mechanism. A novel dynamic event-triggered (DET) mechanism is developed to save communication cost and improve resource utilization. Based on available relative outputs, a distributed FC control scheme under the DET mechanism is proposed for all leaders and followers. The goal is to design an FC controller such that all leaders achieve formation shape and all followers converge into a convex hull. The considered DT-MASs are decoupled into a diagonal form using the Laplacian matrix property and inequality technique, and two sufficient conditions are established to ensure the desired FC performance. The FC controller parameters are obtained based on the solutions to two matrix inequalities depending on the maximum and minimum nonzero eigenvalues of the Laplacian matrix. An illustrative example is provided to verify the effectiveness of the developed control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Weihao Song, Zidong Wang, Zhongkui Li, Hongli Dong, Qing-Long Han
Summary: This paper investigates the particle filtering problem for a class of discrete-time nonlinear complex networks with stochastic perturbations under the scheduling of random access protocol. The stochastic perturbations include on-off stochastic coupling, non-Gaussian noises, and measurement censoring. A random access protocol is used to alleviate data collision over the networks, and two expressions of the modified likelihood function are established to weaken the adverse effects from measurement censoring. A protocol-based filter is designed in the auxiliary particle filtering framework to generate new particles and assign weights based on the derived likelihood function. The developed filtering scheme is demonstrated to be practicable and effective through a multi-target tracking application.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Bogang Qu, Zidong Wang, Bo Shen, Hongli Dong, Hongjian Liu
Summary: This paper investigates the joint state and unknown input estimation (SUIE) problem for multi-machine power grids within energy networks under the event-triggered mechanism. It develops easy-to-implement algorithms to estimate the field voltage and mechanical torque of the synchronous generator (SG), which are generally difficult to be measured in engineering practice. An event-based transmission strategy is used to coordinate the massive PMU-based signal transmissions, and an event-based joint SUIE algorithm is designed to guarantee and minimize the estimation error covariances of both the unknown input and the state. Simulation experiments on the IEEE 39-bus system validate the developed estimation algorithm.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Mathematics, Applied
Dan Liu, Zidong Wang, Yurong Liu, Changfeng Xue, Fuad E. Alsaadi
Summary: In this paper, a distributed filter is proposed for time-varying systems corrupted by dynamic bias and packet disorders over sensor networks. The system, which includes stochastic bias governed by a dynamical equation, takes into account transmission delays described by random variables with known probability distributions. The paper focuses on the construction of a distributed and recursive filter under the corruption of dynamic bias and packet disorders. Upper bounds on attained error covariances are obtained and minimized by parameterizing filter gains. Additionally, a sufficient condition is presented to ensure mean-square boundedness of filtering errors. An example is provided for verification of the proposed method. (c) 2022 Elsevier Inc. All rights reserved.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Biology
Meilin Liu, Zidong Wang, Han Li, Peishu Wu, Fuad E. Alsaadi, Nianyin Zeng
Summary: In this paper, a novel attention augmented Wasserstein generative adversarial network (AA-WGAN) is proposed for fundus retinal vessel segmentation. The proposed AA-WGAN can effectively handle the imperfect data property of segmenting tiny vessels, highlight regions of interests via attention augmented convolution, and suppress useless information through the squeeze-excitation module. The comprehensive evaluation on three datasets confirms the competitiveness of the proposed AA-WGAN, with accuracy of 96.51%, 97.19%, and 96.94% achieved on DRIVE, STARE, and CHASE_DB1 datasets respectively. The effectiveness of important components is validated by ablation study, demonstrating considerable generalization ability of the proposed AA-WGAN.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Biology
Tingyi Xie, Zidong Wang, Han Li, Peishu Wu, Huixiang Huang, Hongyi Zhang, Fuad E. Alsaadi, Nianyin Zeng
Summary: In this paper, a novel deep learning-based medical imaging analysis framework named multi-scale efficient network (MEN) is proposed to deal with the insufficient feature learning caused by the imperfect property of imaging data. The proposed method integrates different attention mechanisms to realize sufficient extraction of both detailed features and semantic information. The results show that the proposed method is competitive in accurate COVID-19 recognition and exhibits satisfactory generalization ability.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Automation & Control Systems
Bogang Qu, Zidong Wang, Bo Shen, Hongli Dong
Summary: This article studies the problem of state estimation in a class of renewable-electricity-generation-based microgrids with measurement outliers. A state-space system model is proposed for microgrids using the physical laws of power systems, without considering prior knowledge of the measurement outliers. To enhance insensitivity against measurement outliers, an outlier-resistant SE algorithm is developed with two distinct features: adopting a saturation function to constrain the innovation term in the state estimator and minimizing the estimation error covariance by selecting proper gain parameters. Simulation studies on a benchmark islanded microgrid with two renewable-electricity-generation units are conducted to illustrate the validity of the developed algorithm.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Junwan Zhu, Jingrui Duan, Zhigang Lu, Zhanliang Wang, Huarong Gong, Yubin Gong
Summary: To improve the performance of sine waveguide traveling wave tubes, a new elliptical beam-tunnel sine waveguide slow wave structure (EBTSW-SWS) is proposed. Compared to the traditional SW-SWS, the EBTSW-SWS has a wider passband and higher interaction impedance. Particle-in-cell simulation results show that the EBTSW-TWT can provide more than 70 W of output power with a maximum efficiency of 4.85% in the frequency range of 200-260 GHz.
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Hengli Cheng, Bo Shen, Jie Sun
Summary: In this paper, the distributed fusion filtering issue is investigated for multi-sensor systems with the constraints from both time-correlated fading channels and energy harvesters. A dynamic energy-allocated rule is proposed to properly deal with the energy supply relationship between a battery and multiple sensors. The local filter is designed to minimize the upper bound of the local filtering error covariance under the effects of the time-correlated fading channels and energy harvesters, and the fusion estimates are obtained using the covariance intersection approach.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Chemistry, Analytical
Yang Dong, Shaomeng Wang, Jingyu Guo, Zhanliang Wang, Huarong Gong, Zhigang Lu, Zhaoyun Duan, Yubin Gong
Summary: This paper proposes an angular radial extended interaction amplifier (AREIA) that consists of a pair of angular extended interaction cavities, which show potential in improving the beam-wave interaction capability of W-band extended interaction klystrons (EIKs). Compared to conventional radial cavities, the angular cavities greatly reduce ohmic loss area and increase characteristic impedance. Particle-in-cell (PIC) results demonstrate the superiority of the proposed design in terms of output power and beam-wave interaction capacity compared to conventional EIAs under certain conditions.
Article
Automation & Control Systems
Yihao Xu, Alexandre Seuret, Kun Liu, Senchun Chai
Summary: The recent literature on event-triggered control has shown the potential of dynamic periodic event-triggered control. The benefit of considering periodic event-triggered control is to avoid the Zeno phenomenon. This paper proposes a generic framework to emulate aperiodic dynamic event-triggered control law and relaxes the constraint on the periodicity of the allowable sampling instants.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Yuan Tian, Chunxue Li, Jing Liu
Summary: Competition is a common biological relationship in nature, especially for fish species. This study proposes three novel mathematical models for competition between two fish populations, with control based on linear correlation feedback. The models consider different scenarios and purposes, including avoiding extinction of an inferior population, maximizing economic benefits, and preventing extinction due to unequal competition. The study provides effective control strategies and parameter optimization designs for these scenarios. Numerical simulations are conducted to demonstrate the theoretical results and feasibility of the control strategies. The findings contribute to our understanding of competition dynamics and provide insights for achieving coexistence in two-population systems.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Everaldo de Mello Bonotto, Piotr Kalita
Summary: We propose new criteria for the existence of global attractors for problems with state-dependent impulses that are more general than those previously known. Our results are applicable to both nonunique and unique solutions, and we provide collective versions of the criteria that demonstrate the upper-semicontinuity of global attractors under perturbation. The theory is illustrated through examples of ODEs and PDEs.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Feng Li, Zhenghao Ni, Lei Su, Jianwei Xia, Hao Shen
Summary: This paper addresses the problem of finite-region passive control for 2-D Markov jump Roesser systems, considering the partial statistical information issues on Markov parameters and transition probabilities. A 2-D hidden Markov model with partial statistical information is established to model this situation. The goal is to design a controller based on the 2-D hidden Markov model that ensures finite-time boundedness of both horizontal and vertical states of the 2-D Markov jump Roesser systems, while meeting a passive performance criterion. By employing the Lyapunov function method, criteria for the finite-region boundedness of 2-D Markov jump Roesser systems are developed, and a design method for the asynchronous controller based on the 2-D hidden Markov model is presented. The effectiveness of the proposed design method is validated through an illustrative example.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Mahathi Anand, Abolfazl Lavaei, Majid Zamani
Summary: This paper proposes a compositional scheme for constructing control barrier certificates for interconnected discrete-time stochastic systems, which can synthesize switching controllers satisfying w-regular properties and provide probabilistic guarantees for specification satisfaction. The proposed scheme leverages interconnection topology and control sub-barrier certificates of subsystems to compositionally construct control barrier certificates of interconnected systems.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Weijun Ma, Bo Yang, Yuanshi Zheng
Summary: This paper develops new practical stability criteria for impulsive stochastic functional differential systems with distributed-delay dependent impulses, and shows that under certain conditions, the practical exponential stability of the systems remains unchanged.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Xueying Ding, Jianquan Lu, Xiangyong Chen
Summary: This paper investigates the stability of impulsive logical dynamic systems (ILDNs) from the perspectives of impulsive disturbance and impulsive control. The existing results on ILDN stability only consider a given impulsive instant sequence (IIS), which is restrictive. The paper proposes necessary and sufficient conditions for ILDN stability under any IIS by constructing a merged ILDN. However, these conditions are too strict as it is uncommon for a stable LDN to remain stable under any IIS. The paper introduces the concepts of impulsive disturbances and impulsive control, and presents sufficient conditions for LDN stability under time-triggered IISs with average impulsive interval. These results are also applied to set stability of ILDNs.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Chunmei Zhang, Huiling Chen, Qin Xu, Yuli Feng, Ran Li
Summary: This article discusses a class of stochastic hybrid delayed coupled systems with multiple weights, and derives several conditions for asymptotic synchronization and topology identification of the systems based on Kirchhoff's Matrix-Tree Theorem and Lyapunov stability theory.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Yan Zhu, Zhendong Sun
Summary: In this work, we address the minimum realization problem for controllability and observability of both continuous-time and discrete-time switched linear systems, and provide results for the tight upper bound.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Weilian Liu, Xinyi He, Xiaodi Li
Summary: This paper investigates the problem of global exponential stability for nonlinear delay impulsive systems. By extending the traditional comparison principle and estimating the effects of delay on continuous and discrete dynamics, the internal relationship between delays, parameters of impulsive control, and continuous dynamics is revealed. Sufficient criteria for global exponential stability are obtained, quantitatively demonstrating the beneficial influences of delays on the system performance.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
Article
Automation & Control Systems
Yanan Qi, Xianfu Zhang, Yanjie Chang, Rui Mu
Summary: This paper proposes a switching event-triggered approach to address the global output-feedback stabilization problem for a class of uncertain nonlinear systems. By using an event-triggered mechanism and a logic-based switching mechanism, the proposed approach determines the timing for sampling and switching control parameters, and develops an observer-based control scheme. With the ability to adaptively adjust the control parameter, this scheme has a stronger capability to handle large uncertainties, inherent nonlinearities, and sampling errors.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2024)
