This article investigates the asynchronous fault detection(FD) problem for fuzzy systems with event-triggered mechanism(ETM). A new dynamic ETM(DETM) is adopted to further reduce the waste of network resources. Consid...
This article investigates the asynchronous fault detection(FD) problem for fuzzy systems with event-triggered mechanism(ETM). A new dynamic ETM(DETM) is adopted to further reduce the waste of network resources. Considering the impact of asynchronous premise variables brought by ETM, a design criterion for fuzzy FD filter(FDF) is derived. A reasonable residual evaluation function is constructed and an appropriate threshold is set. To ensure the error dynamics be asymptotically stable with a prescribed H∞ performance, we construct a new Lyapunov function that contains an internal dynamic variable in the ETM. A sufficient condition satisfying the proposed performance index is derived. Finally, we provide a numerical simulation to verify the effectiveness of the proposed asynchronous FD strategy under dynamic event-triggered(ET) communication.
This paper is concerned with the stability of discrete-time networked controlsystems with network induced delay and malicious packet dropout. Firstly, network induced delay and malicious packet dropout are analyzed, ...
This paper is concerned with the stability of discrete-time networked controlsystems with network induced delay and malicious packet dropout. Firstly, network induced delay and malicious packet dropout are analyzed, and the data packet dropout is converted into the change rate of time delay. Secondly, the functional of time delay and change rate of time delay is constructed,and some summation terms are generated when calculating the functional forward difference. Moreover, the auxiliary-functionbased summation inequality and reciprocally convex matrix inequality are used to estimate the resulting summation terms. Then,a less conservative stability criterion for discrete networked systems with network delay and data packet loss is ***, the validity of the proposed stability criterion is illustrated by a numerical example.
A new Gaussian approximate(GA) filter for nonlinear systems with one-step randomly delayed measurement and correlated noise is proposed in this ***,a general framework of Gaussian filter is designed under Gaussian ass...
A new Gaussian approximate(GA) filter for nonlinear systems with one-step randomly delayed measurement and correlated noise is proposed in this ***,a general framework of Gaussian filter is designed under Gaussian assumption on the conditional ***,the implementation of Gaussian filter is transfomed into the approximation of the Gaussian weighted integral in the proposed ***,a new cubature Kalman filtering(CKF)algorithm is developed on the basis of the spherical-radial cubature *** efficiency and superiority of the proposed method are illustrated in the numerical examples.
In this article, we pay attention to event-based model predictive control(MPC) for load frequency control of multiarea power system. Considering the practical issues, the inputs are subject to hard constraints. A nove...
In this article, we pay attention to event-based model predictive control(MPC) for load frequency control of multiarea power system. Considering the practical issues, the inputs are subject to hard constraints. A novel dynamic event-triggered mechanism(DETM) which contains an additive internal dynamic variable and an adjusting variable is designed to reduce data transmission burden. The MPC problem is expressed as a "min-max" optimisation problem. By considering the effects of load disturbances and the DETM, we give the design approach for the controller which integrates H2 and H∞ performance indexes through an auxiliary optimization problem. A simulation example is provided to verify the effectiveness of the proposed algorithm.
Live-maintaining work is essential for continuous power supply to the *** improve the safety and efficiency of live-maintaining work,this paper proposes an equipotential live-maintaining robot system suitable for 110 ...
Live-maintaining work is essential for continuous power supply to the *** improve the safety and efficiency of live-maintaining work,this paper proposes an equipotential live-maintaining robot system suitable for 110 kV voltage *** the narrow space,complex working conditions and strong electromagnetic interference in substations,binocular vision technology,manipulator trajectory planning algorithm based on timeenergy optimization,high voltage electromagnetic shielding technology are utilized to develop the system,and the live-maintaining robot is successfully applied in actual *** accurately identifying and locating the joint bolts and insulator,the robot system can achieve equipotential live-disassemble,live-assemble the joint bolts within18 minutes and live-clean insulator within 5 minutes,demonstrating its the effectiveness and practicability.
Since landslide is one of the most universal natural disasters in China,the study of regional landslide susceptibility evaluation is important to protect people's lives and *** paper analyzes the geospatial charac...
Since landslide is one of the most universal natural disasters in China,the study of regional landslide susceptibility evaluation is important to protect people's lives and *** paper analyzes the geospatial characteristics of the ZiguiBadong section in the Three *** Pearson correlation analysis methodselects,nine impact factors of landslide susceptibility are extracted from the aspects of topography and geomorphology,geological environment,and hydrological conditions,used to establish the evaluation index system of landslide *** the above data basis,the paper applies a support vector machine(SVM) model and an SVM model for gray wolf optimization(GWO) to the susceptibility evaluation of landslides,and product landslide susceptibility index maps according to the *** research area is divided into four regions by jenks method on the map:high-risk,medium-risk,low-risk,and very low-risk *** the accuracy,confusion matrix,and receiver operating characteristic(ROC) curve to evaluate the model,The prediction accuracy of the GWO-SVM model and the SVM model is 88.55 % and 82.82 % respectively,the comparison proves that the GWO-SVM model is much more accurate,which can provide a reference for the study of regional landslide susceptibility.
In response to the national dual carbon policy,carbon capture,utilization and storage（CCUS） are currently attracting much *** paper proposes optimal CCUS planning for multi-energy *** this multi-energy system,transm...
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In response to the national dual carbon policy,carbon capture,utilization and storage（CCUS） are currently attracting much *** paper proposes optimal CCUS planning for multi-energy *** this multi-energy system,transmission network and natural gas network are coupled via conversion and storage devices in the energy *** CCUS planning is formulated based on a source-sink matching method to analyze the CO capture points,CO storage points and CO transportation ***,the original CCUS planning problem is reformulated as a mixed integer second order cone programming（MISOCP） and subsequently solved to guarantee a satisfactory convergence *** studies on an urban multienergy system are implemented to verify the effectiveness and superiority of the proposed methodology over conventional scheme.
The surface defects of ceramic tile greatly affect the service life of ceramic *** present,many detection methods of ceramic tile surface defects are mostly used for ceramic tiles with monochrome background or simple ...
The surface defects of ceramic tile greatly affect the service life of ceramic *** present,many detection methods of ceramic tile surface defects are mostly used for ceramic tiles with monochrome background or simple ***,many tiles with complex and irregular surface patterns are used in practical applications,but many methods cannot effectively detect surface defects in such *** paper presents a double input feature difference network structure to overcome the ***,a double input channel is constructed to extract features from the template image and the defect image ***,a method of feature difference is performed at different depths to suppress the background interference and prevent misclassification between different defect *** a parameter-free attention module is embedded in the backbone to improve the ability of feature *** results show that this model effectively improves the mean average accuracy of 8.3%and the recall rate of 11.7%.
Deep-sea unmanned exploration equipment is an important tool for exploring and developing the resources in the ocean, and it can survey the deep-sea environment more visually with the help of visual images. However, t...
Deep-sea unmanned exploration equipment is an important tool for exploring and developing the resources in the ocean, and it can survey the deep-sea environment more visually with the help of visual images. However, the complex and variable environment and the low resolution of the underwater lens lead to the poor resolution of the images acquired by the equipment. In this paper, we propose a residual-dense connected method applied to unmanned deep-sea exploration equipment to improve it's image resolution. The method uses dense connections within the residual structure to improve the model detail information acquisition to ensure accuracy and model stability of ***, through the study of the model performance, a high precision residual-dense connected model with less computational effort is designed. Finally, the model is trained and tested using environmental images in deep-sea conditions, and it is demonstrated that the method can be applied to deep-sea unmanned exploration equipment for fast, accurate, and stable image super-resolution processing.
At present, most research on the coverage of multi-agent systems is based on Euclidean distance. This does not consider the existence of obstacles and has great limitations in the application. In this paper, a kind of...
At present, most research on the coverage of multi-agent systems is based on Euclidean distance. This does not consider the existence of obstacles and has great limitations in the application. In this paper, a kind of coverage control problem based on high-order geodesic Voronoi partition is practically investigated. It allows multiple agents to monitor an area with obstacles to achieve the monitoring of the overall environment. As a result, the geodesic distance is introduced as a metric *** on the geodesic distance, point-by-point scanning on the layer is taken to achieve high-order Voronoi diagram *** coverage algorithm can be implemented in a distributed manner through the exchange of location information with each other, and the Lloyd algorithm is added to realize the movement of the sensor toward the optimal position.
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