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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 649-660页

作者： Meilin Li Yue Long Tieshan Li Hongjing Liang C.L.Philip Chen the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China IEEE the Yangtze Delta Region Institute University of Electronic Science and Technology of ChinaHuzhou 313000 the Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing 100089China the School of Computer Science and Engineering South China University of TechnologyGuangzhou 510006

This paper investigates the consensus control of multi-agent systems(MASs) with constrained input using the dynamic event-triggered mechanism(ETM).Consider the MASs with small-scale networks where a centralized dynamic ETM with global information of the MASs is first designed.Then,a distributed dynamic ETM which only uses local information is developed for the MASs with large-scale networks.It is shown that the semi-global consensus of the MASs can be achieved by the designed bounded control protocol where the Zeno phenomenon is eliminated by a designable minimum inter-event time.In addition,it is easier to find a trade-off between the convergence rate and the minimum inter-event time by an adjustable parameter.Furthermore,the results are extended to regional consensus of the MASs with the bounded control protocol.Numerical simulations show the effectiveness of the proposed approach.

关键词： Constrained input designable minimum inter-event time directed communication topology dynamic event-triggered mechanism MASs consensus control

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dynamic event-triggered finite-time control for multiple Euler-Lagrange systems using integral terminal sliding mode

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Science China(Technological Sciences) 2023年第11期66卷 3164-3173页

作者： WANG Yan LI Xiao-Meng YUAN Wang YAO DeYin LI HongYi Information Technology Research Institute Shenzhen Institute of Information TechnologyShenzhen 518172China School of Automation Guangdong University of TechnologyGuangzhou 510006China

The tracking control for multiple Euler-Lagrange systems with external disturbances in finite time under undirected topology is investigated in this paper.A dynamic model is established for the multi-EL systems to accurately describe the general mechanical system.Furthermore,an integral terminal sliding mode surface is devised to converge the tracking errors of the system state to a neighborhood of zero within finite time,and the designed finite-time controller ensures fast convergence and high steady-state accuracy.To reduce the controller update frequency and network transmission communication load,a dynamic event-triggered mechanism is introduced between the sensor and controller,and no Zeno behavior was observed.Therefore,the Lyapunov stability theory and finite-time stability criterion prove that all signals in the closed-loop system are uniformly ultimately bounded in finite time.Finally,the simulation results verified the effectiveness of the proposed control method.

关键词： dynamic event-triggered mechanism external disturbances finite-time control integral terminal sliding mode control multiple Euler–Lagrange systems

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Unknown-input-observer-based approach to dynamic event-triggered fault estimation for Markovian jump systems with time-varying delays

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Science China(Information Sciences) 2022年第3期65卷 138-151页

作者： Xiaoting DU Lei ZOU Zhongyi ZHAO Yezheng WANG Maiying ZHONG College of Electrical Engineering and Automation Shandong University of Science and Technology Department of Computer Science Brunel University London

This paper investigates the unknown-input-observer-based fault estimation problem for a class of discrete-time-delay Markovian jump systems under the dynamic event-triggered transmission scheme. The dynamic event-triggered mechanism is used to decide whether the current information should be transmitted to the estimator or not to save the limited communication resources. This study aims to design an event-based fault estimator such that the estimation error is exponentially ultimately bounded in the mean square sense.By adopting the Lyapunov-Krasovskii functional approach, sufficient conditions are obtained to guarantee the existence of the desired estimator to achieve the prescribed performance requirement. The estimator gains are derived based on the convex optimization technique. A numerical example is provided to illustrate the effectiveness of the developed estimator design scheme.

关键词： fault estimation unknown input observer Markovian jump systems dynamic event-triggered mechanism time-varying delays

Fault Detection for Networked Singularly Perturbed Systems Under New dynamic event-triggered mechanism

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Fault Detection for Networked Singularly Perturbed Systems U...

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作者： Chi Zhan Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

In this paper, the dynamic event-triggered fault detection（FD） problem is revisited for networked singularly perturbed systems. A new dynamic event-triggered mechanism（DETM） is devised, which contains some existing triggering mechanisms as special cases. Our aim is to design a fault detection filter（FDF）, which ensures that the resulting filtering error dynamics of FD under the new DETM is asymptotically stable and satisfies an H∞ performance requirement. By constructing a new Lyapunov function dependent on both the singular perturbation parameter and two flexible variables in the DETM, a sufficient condition ensuring the existence of the desired FDF is obtained in terms of linear matrix inequalities（LMIs）. The parameters of the FDF are explicitly given based on the feasible solutions of these LMIs. A numerical example is provided to demonstrate the effectiveness of the DETM-based FD method.

关键词： Fault detection dynamic event-triggered mechanism singularly perturbed systems networked systems

A New dynamic event-triggered mechanism Based Model Predictive Control for Systems with Polytopic Uncertainties

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A New Dynamic Event-Triggered Mechanism Based Model Predicti...

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作者： Fan Wei Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper investigates the problem of model predictive control（MPC） for systems with polytopic uncertainties under the event-triggered communication mechanism. To save network resources, a new dynamic event-triggered mechanism（DETM） is proposed, which contains an adaptive internal dynamic variable（IDV） and a time-varying parameter. A "min-max"optimization problem is put forward to dealing with the MPC problem for systems with polytopic uncertainties. With the aid of a Lyapunov-like function dependent on the IDV of the DETM, an auxiliary optimization problem is devised with constraints in terms of linear matrix inequalities. By solving such an auxiliary optimization problem, sub-optimal feedback gains are obtained which ensure the input-to-state practical stability of the closed-loop system. A numerical example is provided to demonstrate the effectiveness of the devised MPC algorithm.

关键词： Model predictive control dynamic event-triggered mechanism networked systems input-to-state practical stability

A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems

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Science China(Technological Sciences) 2023年第2期66卷 456-467页

作者： REN HongRu MA Hui LI HongYi LU RenQuan School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of TechnologyGuangzhou 510006China Department of New Networks Peng Cheng LaboratoryShenzhen 518055China School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou 510006China

Focusing on one class of nonlinear systems with input saturation,the adaptive fuzzy dynamic event-triggered control problem is successfully solved.A dynamic event-triggered mechanism is adopted to save the communication burden of the system,and is integrated into the controller design process based on the backstepping technique.For handling the asymmetric input saturation,an auxiliary system with the same order as the considered system is constructed.Analysis problems caused by unknown continuous functions are efficiently tackled by applying the approximation theory of fuzzy logic systems.It is proven that all the signals of the resulting closed-loop system are bounded via Lyapunov stability analysis.Both numerical and practical simulations are presented to demonstrate the effectiveness of the theoretical results.

关键词： intelligent control dynamic event-triggered mechanism disturbance observer

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dynamic event-triggered H∞ State Estimation of Time-Delayed Neural Networks with Stochastic Parameters and Measurement Outliers

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Dynamic Event-Triggered H∞ State Estimation of Time-Delayed...

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作者： Yue Xu Kaige Chen Qi Li School of Information Science and Engineering Hangzhou Normal University

This paper is concerned with the dynamic event-triggered H state estimation problem for a class of time-delayed neural networks subject to stochastic parameters and measurement outliers. A set of random variables is proposed to represent the random fluctuation of system parameters. The side-effects of measuring outliers are mitigated by using a certain confidencedependent saturation function. For saving energy, the dynamic event-triggered mechanism is introduced to control signal transmission from the sensors to state estimators. The aim of the addressed problem is to design an estimator for the neural networks ensuring that the estimation error dynamics is exponentially mean-square stable and the H disturbance rejection attenuation level is achieved. A sufficient condition of the expected estimator is given by using Lyapunov functional approach, and the gain matrix of the desired estimator is obtained by solving a certain matrix inequality. Finally, a simulation example is provided to demonstrate the effectiveness of the proposed dynamic event-triggered state estimation scheme.

关键词： Neural networks measurement outliers dynamic event-triggered mechanism H∞ state estimation stochastic parameters

Finite-Time State Estimation for Discrete-Time Nonlinear Singularly Perturbed Complex Networks under New event-triggered mechanism

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Finite-Time State Estimation for Discrete-Time Nonlinear Sin...

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作者： Chao Yang Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper investigates the finite-time state estimation problem for a class of discrete-time nonlinear singularly perturbed complex networks under a new dynamic event-triggered mechanism（DETM）. This new DETM is devised to adjust the date packet transmissions flexibly with hope to save network resources. By constructing a new Lyapunov function dependent on the information of the singular perturbation parameter（SPP） and DETM, a sufficient condition is derived which ensures that the error dynamics of state estimation is finite-time stable. The parameters of the state estimator are given by means of the solutions to several matrix inequalities and the upper bound of the SPP can be evaluated simultaneously. The effectiveness of the designed state estimator is demonstrated by a numerical example.

关键词： Complex networks dynamic event-triggered mechanism singularly perturbed systems state estimation