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event-triggered robust guaranteed cost control for two-dimensional nonlinear discrete-time systems

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Journal of Systems Engineering and Electronics 2019年第6期30卷 1243-1251页

作者： WANG Sen BU Xuhui LIANG Jiaqi School of Electrical Engineering and Automation Henan Polytechnic University

An event-triggered scheme is proposed to solve the problems of robust guaranteed cost control for a class of two-dimensional(2-D)discrete-time ***,an eventtriggered scheme is proposed for 2-D discrete-time systems with parameter uncertainties and sector ***,according to the Lyapunov functional method,the sufficient conditions for the existence of event-triggered robust guaranteed cost controller for 2-D discrete-time systems with parameter uncertainties and sector nonlinearities are ***,based on the sufficient conditions and the linear matrix inequality(LMI)technique,the problem of designing event-triggered robust guaranteed cost controller is transformed into a feasible solution problem of ***,a numerical example is given to demonstrate that,under the proposed event-triggered robust guaranteed cost control,the closed-loop system is asymptotically stable and fewer communication resources are occupied.

关键词： event-triggered robust guaranteed cost control two dimensional(2-D)nonlinear system networked control system.

event-triggered cooperative target tracking in wireless sensor networks

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Chinese Journal of Aeronautics 2016年第5期29卷 1326-1334页

作者： Lu Kelin Zhou Rui Li Hao School of Automation Science and Electrical Engineering Beihang University Beijing 100083 China AVIC Chengdu Aircraft Design & Research Institute Chengdu 610091 China

Since the issues of low communication bandwidth supply and limited battery capacity are very crucial for wireless sensor networks, this paper focuses on the problem of event- triggered cooperative target tracking based on set-membership information filtering. We study some fundamental properties of the set-membership information filter with multiple sensor measurements. First, a sufficient condition is derived for the set-membership information filter, under which the boundedness of the outer ellipsoidal approximation set of the estimation means is guaranteed. Second, the equivalence property between the parallel and sequential versions of the setmembership information filter is presented. Finally, the results are applied to a 1D eventtriggered target tracking scenario in which the negative information is exploited in the sense that the measurements that do not satisfy the triggering conditions are modelled as set-membership measurements. The tracking performance of the proposed method is validated with extensive Monte Carlo simulations.

关键词： event-triggered Information filter Set-membership Target tracking Wireless sensor networks

event-triggered Sampled-Data Consensus of Nonlinear Multi-Agent Systems with Control Input Losses

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Journal of Systems Science & Complexity 2018年第6期31卷 1469-1497页

作者： XING Mali DENG Feiqi Department of Automation Science and Engineering South China University of Technology

This paper investigates the leader-following consensus problem for multi-agent systems with event-triggered mechanism and control packet *** on the local synchronization error, event-triggered mechanisms are proposed in order to reduce the number of controller *** control packet may lose due to unreliability of communication *** the assumption that once the packet loss happens the controller will be set to zero,sufficient consensus criteria for multi-agent system with event-triggered mechanism and control packet losses is *** is also shown that the interplay among the allowable packet loss rate,event-triggered mechanism and sampling *** illustrative example is given to demonstrate the effectiveness of the theoretical results.

关键词： Consensus control packet losses event-triggered mechanism multi-agent systems

event-triggered state estimation for T-S fuzzy affine systems based on piecewise Lyapunov-Krasovskii functionals

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Control Theory and Technology 2019年第1期17卷 99-111页

作者： Meng WANG Jianbin QIU Gang FENG Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong China State Key Laboratory of Robotics and Systems & Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China

This paper investigates the problem of event-triggered H∞state estimation for Takagi-Sugeno (T-S) fuzzy affine systems. The objective is to design an event-triggered scheme and an observer such that the resulting estimation error system is asymptotically stable with a prescribed H∞performance and at the same time unnecessary output measurement transmission can be reduced. First, an event-triggered scheme is proposed to determine whether the sampled measurements should be transmitted or not. The output measurements, which trigger the condition, are supposed to suffer a network-induced time-varying and bounded delay before arriving at the observer. Then, by adopting the input delay method, the estimation error system can be reformulated as a piecewise delay system. Based on the piecewise Lyapunov-Krasovskii functional and the Finsler's lemma, the event-triggered H∞observer design method is developed. Moreover, an algorithm is proposed to co-design the observer gains and the event-triggering parameters to guarantee that the estimation error system is asymptotically stable with a given disturbance attenuation level and the signal transmission rate is reduced as much as possible. Simulation studies are given to show the effectiveness of the proposed method.

关键词： Takagi-Sugeno (T-S) fuzzy affine systems event-triggered scheme, piecewise Lyapunov-Krasovskii functional, state estimation

event-triggered Zero-Gradient-Sum Distributed Algorithm for Convex Optimization with Time-Varying Communication Delays and Switching Directed Topologies

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Journal of Applied Mathematics and Physics 2022年第4期10卷 1247-1265页

作者： Lei Ye Department of Mathematics College of Information Science and Technology Jinan University Guangzhou China

Nowadays, distributed optimization algorithms are widely used in various complex networks. In order to expand the theory of distributed optimization algorithms in the direction of directed graph, the distributed convex optimization problem with time-varying delays and switching topologies in the case of directed graph topology is studied. The event-triggered communication mechanism is adopted, that is, the communication between agents is determined by the trigger conditions, and the information exchange is carried out only when the conditions are met. Compared with continuous communication, this greatly saves network resources and reduces communication cost. Using Lyapunov-Krasovskii function method and inequality analysis, a new sufficient condition is proposed to ensure that the agent state finally reaches the optimal state. The upper bound of the maximum allowable delay is given. In addition, Zeno behavior will be proved not to exist during the operation of the algorithm. Finally, a simulation example is given to illustrate the correctness of the results in this paper.

关键词： Distributed Convex Optimisation Zero-Gradient-Sum Algorithm event-triggered Time-Varying Delays Switching Network Multi-Agent System Directed Network

Distributed time-varying formation control with uncertainties based on an event-triggered mechanism

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Science China(Information Sciences) 2021年第3期64卷 167-176页

作者： Xiaoduo LI Yumeng BAI Xiwang DONG Qingdong LI Zhang REN Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University Department of Electrical and Computer Engineering University of Wisconsin-Madison Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University

This paper investigates the distributed time-varying formation(TVF) problems for general linear multi-agent systems(MASs) subject to matched bounded uncertainties based on an adaptive event-triggered mechanism. A TVF protocol was designed with an event-triggered mechanism by introducing adaptive weights into the formation control protocol and triggering condition, and the large chattering phenomenon was avoided by the σ-modification adaptive law. According to the Lyapunov stability theory, proof has been established that the MASs in the presence of uncertainties can realize the expected formation that satisfies the given feasible condition. Finally, an example is provided to verify the effectiveness of the proposed algorithm.

关键词： formation control multi-agent systems event-triggered adaptive control

Energy-optimal problem of multiple nonholonomic wheeled mobile robots via distributed event-triggered optimization algorithm

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Chinese Physics B 2019年第3期28卷 122-129页

作者： Ying-Wen Zhang Jin-Huan Wang Yong Xu De-Dong Yang School of Science Hebei Province Key Laboratory of Big Data CalculationHebei University of TechnologyTianjin 300401China School of Artificial Intelligence Hebei University of TechnologyTianjin 300401China

The distributed event-triggered optimization problem for multiple nonholonomic robots has been studied to minimize the global battery energy consumption. Each robot possesses its own cost function which depends on the state of the hand position and represents battery energy consumption. By coordinate transformation, the dynamics of the hand positions can be formulated into two groups of first-order integrators. Then the distributed event-triggered optimization algorithm is designed such that the states of robots' hand positions exponentially converge to the optimizer of the global cost ***, the velocity and orientation of each robot are ensured to reach zero and a certain constant, respectively. Moreover, the inter-execution time is lower bounded and the Zeno behavior is therefore naturally avoided. Numerical simulations show the effectiveness of the proposed algorithm.

关键词： distributed optimization nonholonomic robots event-triggered energy-optimal consensus

A compensation method for the packet loss deviation in system identification with event-triggered binary-valued observations

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Science China(Information Sciences) 2020年第12期63卷 266-268页

作者： Jing-Dong DIAO Jin GUO Changyin SUN School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education School of Automation Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education

Dear editor,With the rapid development of network and communication technology, group systems interrelated in terms of both time and space are commonly encountered, such as sensor networks, multi-agent systems, and sm... 详细信息

关键词： system identification event-triggered binary-valued observations packet loss convergence

An event-triggered approach to robust state estimation for wireless sensor networks

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Journal of Control and Decision 2017年第4期4卷 263-275页

作者： Huabo Liu Haisheng Yu College of Automation and Electrical Engineering Qingdao UniversityQingdaoChina

Robust state estimation problem for wireless sensor networks consisting of multiple remote units and a fusion unit is investigated subject to a limitation on the communication *** analytical robust fusion estimator based on an event-triggered transmission approach is derived to reduce the network traffic congestion and save the energy consumption of the sensor *** conditions guaranteeing the uniformly bounded estimation errors of the robust fusion estimator are *** simulations are provided to show the effectiveness of the proposed approach.

关键词： Sensor fusion wireless sensor network event-triggered robust state estimation Kalman filter