Article
Automation & Control Systems
Songlin Hu, Zihao Cheng, Dong Yue, Chunxia Dou, Yusheng Xue
Summary: This paper proposes a bandwidth allocation-based switched dynamic triggering control method, which effectively prevents the system instability caused by DoS attacks and time delay by introducing a primary-redundancy communication structure and a dynamic event-triggered mechanism.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Zhuoyu Li, Dan Ma, Jun Zhao
Summary: This paper investigates the dynamic event-triggered L. control for switched affine systems under limited communication resources. The proposed method can prevent the occurrence of triggering Zeno behavior and reduce transmission frequency. The designed sampled-data switching rule avoids switching chattering phenomenon.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Computer Science, Information Systems
Guangxu He, Jun Zhao
Summary: This article investigates the cooperative output regulation problem for switched heterogeneous multi-agent systems under aperiodic triggering and combined switching tactics. A fully distributed event-triggered protocol with an integral-type term is implemented under a directed topology that contains a spanning tree, as the global information of the Laplacian matrix is not available in the design. The adaptive laws are designed based on the relative estimator state between neighbors at triggering instants and the time-varying coupled weight of each agent to compensate for the lack of global information. Additionally, the integral-type term in the event-triggering condition helps enlarge the inter-event times and avoid Zeno behavior. To further reduce the switching frequency, combined switching rules based on dwell time and agent-dependent switching strategies are established using time-varying multiple Lyapunov functions. The cooperative output regulation performance for switched multi-agent systems is achieved through the joint action of the combined switching laws and controller. Two examples are provided to verify the effectiveness of the proposed approach.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Ying Zhao, Yuxuan Gao, Hong Sang, Jun Fu, Yuzhe Li
Summary: In this article, a dynamic event-triggered adaptive antidisturbance (ETAAD) switching control strategy is proposed for switched systems subject to multisource disturbances. The strategy includes a dynamic ET criterion, a novel dynamic ETA disturbance estimator, and a switched controller based on the ET rule and adaptive disturbance observer. Sufficient conditions are given to achieve disturbance suppression, trajectory tracking, and communication resource saving for the switched systems with a limitation on the average dwell time, but the Zeno phenomenon may occur due to the exclusion of the ET rule. The ETAAD approach is also applicable to nonswitched systems. A simulation case is provided to validate the effectiveness of the method.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Xiaomei Wang, Jun Zhao
Summary: This paper addresses the stability issue of switched linear systems subject to event-triggered control. An event triggering strategy is proposed for both control and switching, and a sufficient condition for stabilizing the event-triggered switched linear systems is obtained. The effectiveness of excluding Zeno behavior is also proved through the proposed event triggering strategy.
Article
Automation & Control Systems
Deniz Kurtoglu, Tansel Yucelen, Stefan Ristevski, Jonathan. A. A. Muse
Summary: In this paper, a method for reducing agent-to-agent information exchange in the distributed control of multiagent systems is proposed. The method utilizes a norm-free and adaptive event-triggering rule for each agent, which is decentralised and based on the solution-predictor curve method. The method achieves decentralisation by relying only on the agent's own error signals, and allows for better information exchange reduction by not depending on distances. An adaptive term is used to estimate unknown variables, and the proposed event-triggering rule holds for both sampled data exchange and data exchange predicated on the solution-predictor curve method.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
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
Fenglan Wang, Lijun Long
Summary: In this paper, a dynamic event-triggered fixed-time adaptive fuzzy control method is proposed to solve the tracking problem for nonstrict-feedback switched nonlinear systems with asymmetric tracking error constraints. The method constructs different event-triggered adaptive fuzzy controllers for different subsystems and uses a switching dynamic event-triggering mechanism. By using this mechanism, the difficulty caused by asynchronous switching is effectively overcome, and Zeno behavior is avoided.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Lijun Long, Fenglan Wang, Zhiyong Chen
Summary: This article focuses on the robust adaptive event-triggered control (ETC) problem for switched nonlinear systems. A novel robust adaptive controller is constructed based on a common virtual control Lyapunov function method and backstepping. The dynamic ETC (DETC) strategy is integrated into the switching controller to address the challenges caused by the interaction of switching and triggering instants. The proposed solution guarantees global asymptotic stability and exclusion of Zeno behavior for the closed-loop system, and is applicable to a larger class of switched nonlinear systems.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Nanoscience & Nanotechnology
Yang-Hui Luo, Xue-Ting Jin, Shu-Xin Zhang, Cheng Xue, Min Liu
Summary: In this study, the reversible spin-state switching (SSS) mediated by the aggregation state of a near-infrared (NIR)-sensitive ferrous complex is demonstrated. The results show that the addition of water and NIR irradiation can achieve reversible switching of molecular switches under ambient conditions, which is of significant importance for the development of novel smart molecular switches at the device level.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Computer Science, Artificial Intelligence
Xingyue Liu, Kaibo Shi, Huaicheng Yan, Jun Cheng, Shiping Wen
Summary: This paper investigates a novel integral-based event-triggering switched control scheme for the LFC power system with an H∞ norm bound. To reduce redundant signals transmission, a novel integral-based event-triggering mechanism (IETM) is constructed. The IETM based switching control scheme is established, considering deception attacks. The less conservative H∞ asymptotic stability criterion is derived through delay-dependent Lyapunov-Krasovskii functionals with integral terms and the controller design method based on the IETM switching control rule is obtained. The effectiveness and superiority of the designed IETM are validated based on a wind-connected power system example.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Automation & Control Systems
Lina Xia, Qing Li, Ruizhuo Song
Summary: This study proposes a fully distributed adaptive event-triggered average tracking protocol for general linear multiagent systems with positive minimum interevent time. It designs a fully distributed event-triggered detector and controller for each agent to track the average of multiple time-varying reference signals via intermittent communication. It also introduces activable dynamic event-triggering mechanisms for the detector and the controller.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
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
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
Yanping Yang, Wangli He, Shenrong Li
Summary: This article focuses on the cluster consensus control of multiagent systems with fixed/switching topology. A refined dynamic event-trigger mechanism is proposed, using two dynamically adjusting threshold parameters to distinguish the transmission requirements for neighboring agents within and outside the cluster. By constructing appropriate Lyapunov-Krasovskii functionals, the article derives sufficient criteria for the cluster consensus of MASs in terms of matrix inequalities, ensuring asymptotic stability of the error system with the proposed control strategy. A novel particle swarm optimization algorithm is developed to calculate the control gains and event-triggering parameters based on the derived stability criteria. The effectiveness of the cluster consensus control strategy with the designed event-trigger mechanism is numerically illustrated through an application of multiple satellites formation flying.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Yu Shao, Junfeng Zhang, Laiyou Liu, Xuanjin Deng
Summary: This paper proposes an event-triggered control method for positive systems based on 1-norm, which transforms systems with state saturation into interval uncertain systems and achieves positivity and stability of closed-loop systems through the design of linear complementary Lyapunov functions and linear programming.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Automation & Control Systems
Junfeng Zhang, Gang Zheng, Yinggang Feng, Yun Chen
Summary: This article proposes event-triggered state-feedback and dynamic output-feedback control methods for positive Markovian jump systems with intermittent actuator and sensor faults. An independent Markovian process is used to establish the mathematical model of intermittent faults. An event-triggering condition based on 1-norm is proposed for implementing the event-triggered scheme. Stochastic copositive Lyapunov functions are used to design event-triggered state-feedback controllers. A matrix decomposition approach is used to propose an event-triggered dynamic output-feedback controller. The validity of the proposed design is verified through an example.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Suhuan Zhang, Junfeng Zhang, Gang Zheng
Summary: This article proposes a new random event-triggering scheme for designing filters of positive semi-Markovian jump systems with intermittent sensor faults. By introducing a stochastic variable to control the switching of triggering modes and presenting the concept of hybrid gain performance, the filter is able to attenuate the effects of disturbances and sensor faults. The approach is extended to systems with stochastically incorrect sensor measurements and validated through examples.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Physics, Multidisciplinary
Yanqi Wu, Junfeng Zhang, Peng Lin
Summary: This paper proposes a non-fragile hybrid-triggered control design for networked positive switched systems to address faults and cyber attacks. By introducing a hybrid-triggered strategy with event-triggering and time-triggering mechanisms, an effective controller for positive switched systems is designed to resist risks and reduce the impact of limited communication bandwidth.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Mathematics
Shitao Zhang, Peng Lin, Junfeng Zhang
Summary: This paper presents a study on a static/dynamic event-triggered asynchronous filter for nonlinear switched positive systems with output quantization. By adopting an event-triggering mechanism, the error system is transformed into an interval uncertain system, and an asynchronous filter is designed to achieve filtering function. The positivity and L-1-gain stability of the error system are guaranteed.
Article
Engineering, Electrical & Electronic
Junfeng Zhang, Tarek Raissi, Xuanjin Deng
Summary: This paper investigates the stability of nonlinear positive time-varying systems using the Krasovskii functional and Razumikhin function. The indefinite functional and function are proposed to allow nondecreasing time derivatives. It is shown that these indefinite functionals and functions are less conservative than existing definite ones.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Engineering, Multidisciplinary
Linmin Li, Peng Lin, Junfeng Zhang
Summary: This paper investigates the application of event-triggered asynchronous filter using linear programming and multiple Lyapunov functions in positive switched systems with state saturation. The paper constructs a filter for continuous-time positive switched systems and proposes an error system under the asynchronous switching law. The event-triggering condition is addressed based on a 1-norm inequality, and the error system is transformed into an interval system with lower and upper bounds. The paper achieves the positivity and stability of the error system using multiple Lyapunov functions and linear programming.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Automation & Control Systems
Chenxu Jiao, Junfeng Zhang, Xianglei Jia, Suhuan Zhang
Summary: This paper focuses on the event-triggered control of positive switched systems with randomly occurring state saturation. A vector-based event-triggering condition is established, and interval and polytope approaches are used to address the positivity, stability, and saturation of the systems. An event-triggered controller and its corresponding domain of attraction are designed using a decomposition approach for the gain matrix. This approach is applicable to systems with input saturation. Two examples are provided to demonstrate the effectiveness of the proposed design.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Automation & Control Systems
Qiang Li, Junfeng Zhang, Peng Lin
Summary: This article investigates the asynchronous fault detection filter of nonlinear positive semi-Markov jump systems with disturbances and actuator faults based on an adaptive event-triggering scheme. The novelties of the proposed design lie in the construction of a new adaptive event-triggered strategy, the proposal of an adaptive event-triggered asynchronous filter for the underlying systems, the achievement of hybrid gain performances of the filter with respect to the disturbance and fault, and the introduction of a linear programming-based computation method to determine the filter gains. Overall, the results show the effectiveness of the proposed design.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Shitao Zhang, Junfeng Zhang, Xianglei Jia, Peng Lin
Summary: This paper investigates the event-triggered nonlinear filter (ETNF) problem of switched nonlinear positive systems (SNPSs) under asynchronous switching. The nonlinearities of the systems are distributed in several sector fields. By considering the subsystems and corresponding filters in the matched and mismatched time intervals, augmented filter error systems are established based on a 1-norm inequality-based event-triggering condition. Multiple copositive Lyapunov functions (MCLFs) associated with an average dwell time (ADT) switching are employed. A nonlinear asynchronous filter based on event-triggering mechanism is constructed using matrix decomposition technique to handle nonlinear disturbances. The novelties include: (i) construction of a nonlinear filter for SNPSs, (ii) introduction of a linear programming (LP)-based filter gain design approach, and (iii) development of an event-triggering mechanism for SNPSs. Finally, an example is presented to verify the effectiveness of the proposed results.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Mathematics
Lanai Huang, Xudong Zhao, Fengyu Lin, Junfeng Zhang
Summary: This paper proposes two classes of functional and disturbance observers for positive systems, which can estimate structural and non-structural disturbances respectively. First, a positive functional observer is introduced by estimating disturbances. Then, a positive disturbance observer is designed to estimate disturbances in the functional observer. Finally, a new unknown input observer is constructed for positive systems using matrix decomposition method and linear programming.
Article
Engineering, Electrical & Electronic
Xiaoyue Zhou, Junfeng Zhang, Xianglei Jia, Yinggang Feng
Summary: This brief presents two classes of hybrid event-triggered dynamic output-feedback control for positive Markovian jump systems. First, a dynamic estimation system is established to construct the static hybrid event-triggered mechanism. Then, a hybrid dynamic event-triggered control is proposed by integrating the system output and the controller system output with the dynamic event-triggered internal variable. The effectiveness of the proposed design is demonstrated through an illustrative example.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Automation & Control Systems
Xiaoyue Zhou, Junfeng Zhang, Xianglei Jia, Di Wu
Summary: This paper investigates the proportional-integral-derivative (PID) control of positive systems in the discrete-time case. The main contribution lies in that linear programming associated to the matrix decomposition approach is first presented to handle the PID control of positive systems. Two illustrative examples are provided to verify the effectiveness of the proposed design.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Junfeng Zhang, Suhuan Zhang, Gang Zheng
Summary: This paper presents a new hybrid dynamic event-triggered control framework for positive Markovian jump systems, addressing actuator fault in continuous- and discrete-time contexts. The framework introduces a new triggering mechanism consisting of dynamic and static event-triggering conditions. It also utilizes an interval approach to obtain the lower and upper bounds of the original system for control design. The proposed nonfragile controller ensures stochastic stability of the continuous-time system with actuator fault.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
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)
