Article
Mathematics, Applied
Weifeng Xia, Shengyuan Xu, Junwei Lu, Yongmin Li, Yuming Chu, Zhengqiang Zhang
Summary: This paper introduces a new mode-dependent Lyapunov-Krasovskii functional and establishes sufficient conditions for the stability of the filtering error system using Lyapunov stability theory and Wirtinger inequality. Furthermore, a co-design scheme for filter parameters and event-triggered matrices is proposed, and the usefulness of the scheme is demonstrated through two numerical examples.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Automation & Control Systems
Yanliang Cui, Juanjuan Ji, Guangtian Shi
Summary: This paper investigates an adaptive event-triggered control for semi-Markovian jump linear systems with process time-varying delays. A switching-mode dependent adaptive event-trigger (AET) is proposed for reducing data transmission amount and involves a positive auxiliary function. A switching state feedback control law is explored using received non-periodical state information. Control design method is conveniently presented using exponential inequality technique.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Hui Zhao, Weidong Li, Zhicheng Li, Yu Ren
Summary: This article investigates the problem of dynamic event-triggered control for Markovian jump linear systems with time-varying delay. The proposed dynamic ETC reduces the transmission frequency and conditions of stochastic stability are proposed using a novel stochastic Lyapunov-Krasovskii functional and scaled stochastic small-gain theorem. By designing dynamic ETC, conservatism for stability results is reduced and transmission efficiency is improved.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
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
Engineering, Mechanical
Yao Wang, Shengyuan Xu, Junwei Lu, Zhengqiang Zhang
Summary: This paper addresses the issue of finite-time observer-based control for continuous-time nonlinear Markovian jump systems with time-varying delays. It introduces a method where the modes of observer and controller are supposed to be asynchronous with the modes of the original system simultaneously. By constructing novel Lyapunov-Krasovskii functionals and using finite-time analysis theory, the error system is proven to be finite-time bounded with an H-infinity performance level, and parameters for the desired observer and controller are calculated using linear matrix inequalities. Numerical examples are provided to demonstrate the proposed method's lesser conservativeness and higher effectiveness.
NONLINEAR DYNAMICS
(2021)
Article
Mathematics
Xikui Liu, Wencong Li, Chenxin Yao, Yan Li
Summary: This paper addresses the finite-time guaranteed cost control problem for Ito Markovian jump systems with time-varying delays. It presents new sufficient conditions for the existence of guaranteed cost controllers using the linear matrix inequality approach. Based on these conditions, the desired controllers are designed and the upper bound of cost performance is provided. An example is employed to demonstrate the validity of the obtained results.
Article
Computer Science, Information Systems
Xiaoting Du, Lei Zou, Zhongyi Zhao, Yezheng Wang, Maiying Zhong
Summary: This paper investigates the problem of fault estimation for a class of discrete-time-delay Markovian jump systems using unknown-input observer. The dynamic event-triggered transmission scheme is employed to save limited communication resources. The goal is to design an event-based fault estimator that ensures the estimation error is exponentially ultimately bounded in the mean square sense. Sufficient conditions are obtained using the Lyapunov-Krasovskii functional approach and the estimator gains are derived using convex optimization technique. A numerical example is provided to illustrate the effectiveness of the proposed estimator design scheme.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Xiaojie Su, Chunlian Wang, Hongbin Chang, Yue Yang, Wudhichai Assawinchaichote
Summary: This paper focuses on sliding mode control for networked Markovian jump systems with partially-known transition probabilities via an event-triggered scheme. It establishes the mean-square asymptotic stability of the closed-loop system and provides sufficient conditions for co-designing the switching function and trigger parameters, as well as a novel control scheme for handling Markovian jump parameters. Simulation results confirm the effectiveness of the proposed design schemes.
Article
Computer Science, Information Systems
Xiaowu Mu, Xin Li, Jianyin Fang, Xihui Wu
Summary: This paper addresses the control problem of networked nonlinear systems with actuator faults and parameter uncertainties through an improved dynamic event-triggered scheme, proposing a new observer-based control scheme and considering a more general actuator fault model.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Alessandro Borri, Pierdomenico Pepe
Summary: This article presents a method for event-triggered stabilization of nonlinear time-delay systems, utilizing control Lyapunov-Razumikhin functions and a spline-based approximation of functional state feedback to achieve a finite-memory controller, ensuring positive minimal interevent time while avoiding continuous-state monitoring. Application examples demonstrate the potential of this approach.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
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
Bingquan Chen, Jinde Cao, Guoping Lu, Leszek Rutkowski
Summary: In this article, the stabilization of Markovian jump Boolean control networks is investigated using an event-triggered control scheme. A novel stability condition is obtained based on the recurrence of finite-state homogeneous Markov chains. The necessary and sufficient conditions for stabilization are proposed based on an associated digraph, along with the design method for the event-triggered control. Furthermore, a minimal event-triggering set is constructed using a minimum-weight spanning branching forest of the digraph to save control costs. An example is provided to demonstrate the effectiveness of the obtained results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Xin Zhao, Suli Zou, Peng Wang, Zhongjing Ma
Summary: This paper proposes a bandwidth-aware event-triggered load frequency control scheme for multi-area power systems under time-varying delays. By incorporating bandwidth-aware adaptive regulation scheme into decentralized ETLFC scheme, the proposed scheme aims to lessen communication burden while ensuring desired control performance.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Computer Science, Information Systems
Feng Shu, Junyong Zhai
Summary: This paper proposes a dynamic event-triggered output feedback control strategy, which dynamically adjusts the triggering threshold by introducing dynamic gains, making it more flexible and saving communication resources compared to other methods. Meanwhile, the system signal is guaranteed to be bounded while the system states enter a compact set around the origin through the event-triggered mechanism.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Yingqi Zhang, Xiaowu Mu
Summary: This paper investigates the event-triggered H-infinity admissible analysis and controller synthesis for discrete delayed singular Markovian jump network systems with output quantizations. By utilizing the event-triggered communication mechanism and quantized control strategy, a singular network system model with network-induced delays is established, and sufficient criteria are provided to ensure the stochastically H-infinity admissibility of the singular stochastic network systems. Moreover, through variable separation and matrix decomposition techniques, the output quantized controllers and event-triggered matrices are cleverly co-designed to achieve the stochastic H-infinity admissibility of the singular network model. An example is presented to illustrate the effectiveness of the proposed approach.
Article
Automation & Control Systems
Xiaobin Gao, Feiqi Deng, Hongyang Zhang, Pengyu Zeng
Summary: This article addresses the neural-network based state estimation issue of Markov jump systems subject to communication protocols and deception attacks. Two types of scheduling protocols, Round-Robin (RR) protocol and weighted try-once-discard (WTOD) protocol, are used to coordinate the transmission sequence. A hidden Markov-like model is proposed to characterize the relationship between the malicious signal and system mode. A novel adaptive neural state estimator is presented to reconstruct the system states. Sufficient conditions under two different scheduling protocols are derived to ensure the ultimately boundedness of the estimate error, considering the influence of deception attacks. Simulation results validate the correctness of the proposed adaptive neural estimator design method in this article.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Xiaohua Liu, Feiqi Deng, Pengyu Zeng, Xiaobin Gao, Xueyan Zhao
Summary: This paper focuses on sampled-data resilient control for stochastic nonlinear CPSs under denial-of-service (DoS) attacks. The DoS attacks are described and considered in the stochastic nonlinear CPSs under the sampled-data control scheme. A new switching stochastic nonlinear closed-loop system is established under a full-state feedback controller, considering the influence of DoS attack. The paper provides sufficient conditions for mean square exponential stability of the obtained closed-loop system using the piecewise Lyapunov functional method, and gives criteria for designing controller parameters. An example is provided to validate the effectiveness of the proposed results.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Yuanyuan Sun, Feiqi Deng, Peilin Yu
Summary: This paper presents a new asynchronous control scheme for continuous-time Markov jump linear systems (MJLSs). The controlled system and quantizer are asynchronous with the controller due to the stochastic process by which the controller can accurately observe and emit the switching signal. A random variable satisfying Bernoulli distribution is introduced to describe this observation. Two methods based on linear matrix inequality (LMI) are proposed to obtain sufficient conditions for exponential almost sure stability and almost surely asymptotically stability, respectively. These results are independent of the asynchronous time interval. Finally, a numerical example is provided to validate the developed theoretical results.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Xinyun Yu, Feiqi Deng, Fangzhe Wan, Yongjia Huang
Summary: This paper investigates hybrid stochastic delay differential equations (SDDEs) with asynchronous switching and discrete observations. It examines the feasibility of the discrete-time approach for nonlinear hybrid SDSs, which has not been discussed before. By utilizing stochastic analysis tools, constructing Lyapunov functional, and employing the discrete-time approach, the study obtains the stability of hybrid SDSs through discrete-time feedback control. A numerical example is presented to validate the theoretical findings.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Ze-Hao Wu, Hua-Cheng Zhou, Feiqi Deng, Bao-Zhu Guo
Summary: In this article, a novel control strategy, disturbance observer-based control, is applied to stabilize and reject disturbances in an antistable stochastic heat equation with boundary actuation and unknown external disturbance. The control design uses a disturbance observer to estimate and reject the unknown disturbance, and attenuates the in-domain multiplicative noise. The stability of the resulting closed-loop system is demonstrated. A numerical example validates the effectiveness of the proposed control approach.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Zengcheng Sun, Ping He, Heng Li, Jiannong Cao, Feiqi Deng
Summary: The group consensus of second-order sample multi-agent systems is investigated using a distributed event-triggered mechanism. A consensus protocol is proposed, which is updated only when the event-triggered condition is met and the update only depends on the data collected at the moment of triggering. The sufficient condition for group consensus is obtained, and a differential equation is constructed to avoid the Zeno phenomenon and obtain a minimum positive and lower bound for any two trigger time intervals. The effectiveness is verified through a simulation example.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Engineering, Electrical & Electronic
Yongjia Huang, Feiqi Deng, Fangzhe Wan, Peilin Yu, Yuanyuan Sun
Summary: This paper focuses on the stabilization problem of a class of stochastic nonlinear systems under periodic sampled-data state feedback subject to input saturation. An auxiliary variable is introduced to handle the saturation nonlinearity and characterize the estimate of the region of attraction of the origin. Stability criteria are established in the form of parametric conditions. The relationship between the estimate of the region of attraction and controller gain, sampling period is analyzed, and the effectiveness of the results is demonstrated through an example and an application for synchronization of two Chua's Circuits.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Computer Science, Artificial Intelligence
Xiaobin Gao, Feiqi Deng, Chun-Yi Su, Pengyu Zeng
Summary: This article considers the security control issue of nonlinear networked systems using an interval type-2 fuzzy modeling strategy. A stochastic scheduling strategy called Markovian communication protocol is introduced to coordinate the sensor transmission order in order to avoid communication congestion. An asynchronous observer is designed to estimate the unmeasured states via the hidden Markov model. Additionally, a comprehensive scenario on deception attack is considered, where attacks occur in both the sensor-observer and controller-actuator communication channels with different types of deception signals. Some sufficient conditions for ensuring the ultimately boundedness of the resulting closed-loop system are obtained using the slack matrix approach and stochastic analysis technique. Simulation results demonstrate the validity of the proposed protocol-based fuzzy control method.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Xiaobin Gao, Feiqi Deng, Pengyu Zeng, Hongyang Zhang
Summary: This article investigates the neural network-based event-triggered control problem in discrete-time networked Markov jump systems with hybrid cyberattacks and unmeasured states. The event-triggered mechanism and Luenberger observer are employed to reduce communication load and estimate unmeasured states. Different types of cyberattacks are considered, and the control methods are designed accordingly. The gains for the observer and controller are obtained by solving a set of matrix inequalities.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Zhipei Hu, Tongchong Luo, Rongni Yang, Feiqi Deng
Summary: This article investigates the stabilization problem of networked control systems with random clock offsets and consecutive packet dropouts. Unlike existing literature, the consecutive packet dropouts in communication networks are influenced by clock offsets, and the clock offsets between the sensor and the controller are described by a random variable with a certain probability distribution. A closed-loop discrete-time stochastic system is constructed, and an equivalent yet tractable stochastic augmented model is established to analyze the system. A stability condition in the form of a linear matrix inequality is obtained, and a desired controller is designed to ensure the stochastically stability of the closed-loop stochastic system. Numerical examples are provided to demonstrate the effectiveness of the proposed design approach.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Automation & Control Systems
Mengling Li, Ze-Hao Wu, Feiqi Deng, Bao-Zhu Guo
Summary: In this article, the active disturbance rejection control approach is applied for the first time to address the disturbance rejection and consensus problems in a class of second-order stochastic multiagent systems with undirected and connected network topology. Extended state observers are designed to estimate the unmeasured states and random total disturbance, and active antidisturbance consensus protocols are proposed to achieve consensus in mean square and almost sure practical sense. Numerical simulations are conducted to validate the effectiveness of the consensus protocols.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Automation & Control Systems
Linna Liu, Feiqi Deng
Summary: This article focuses on the stability and stabilization of nonlinear hybrid stochastic systems. It introduces the concepts of synchronous and asynchronous switching parameters, establishes stability criteria and matrix equations, and proposes new initial conditions for nonlinear stochastic systems.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Mingang Hua, Fan Zhang, Feiqi Deng, Juntao Fei, Hua Chen
Summary: This article addresses the H-8 filtering problem for discrete-time periodic Markov jump systems with quantized measurements and packet loss compensation. A new packet loss compensation strategy is proposed to deal with the phenomenon of degraded system performance or instability caused by packet loss. A static logarithmic quantizer with mode-dependent property is used to quantize the measured output, taking into account the limited communication channel. A quantized periodic filter, which is partially mode-dependent, is constructed to ensure the stochastic stability of the filtering error system. The existence conditions of periodic filter are presented by constructing a periodic Lyapunov function with mode-dependent property. A practical example of a boost converter is presented to illustrate the usefulness of the proposed approach.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Pengyu Zeng, Feiqi Deng, Ze-Hao Wu, Tianliang Zhang, Xiaobin Gao
Summary: This article focuses on the issue of event-triggered multiasynchronous H-8 control for Markov jump systems with transmission delay. Multiple event-triggered schemes (ETSs) are introduced to reduce sampling frequency. A hidden Markov model (HMM) is employed to describe multiasynchronous jumps among subsystems, ETSs, and controller. Based on the HMM, the time-delay closed-loop model is constructed. A packet loss schedule is presented to overcome the disorder caused by transmission delay, and the unified time-delay closed-loop system is obtained. Sufficient conditions for guaranteeing the H-8 performance of the time-delay closed-loop system are formulated using the Lyapunov-Krasovskii functional method. The effectiveness of the proposed control strategy is demonstrated through two numerical examples.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
