Landslide disasters are extremely *** identification of landslides plays an important role in disaster assessment,loss control and post-disaster *** paper proposes a semantic segmentation landslide identification meth...
Landslide disasters are extremely *** identification of landslides plays an important role in disaster assessment,loss control and post-disaster *** paper proposes a semantic segmentation landslide identification method based on improved *** deep convolution neural network and jump connection method is used for end-toend semantic segmentation to achieve deep feature extraction and fusion of different receptive fields,thus enriching feature *** modules are adopted to enhance the ability of the model to extract important features,so as to further improve the accuracy of model *** experiments show that our improved U-Net achieves better performance than the original algorithm on our landslide *** results of lou are improved by 4.12% which demonstrates our work is of great significance for the research of landslide area ***,the model is deployed to the web and applied to the geological hazard intelligent monitoring system to realize the landslide identification task.
This paper addresses the problem of state estimation for Markov jump genetic oscillator networks with time-varying delays based on hidden Markov model. Two non-identical types of time-varying delays, that is, the inte...
This paper addresses the problem of state estimation for Markov jump genetic oscillator networks with time-varying delays based on hidden Markov model. Two non-identical types of time-varying delays, that is, the intercellular coupling delay,and the regulatory delay are considered in consideration in genetic oscillator networks. Then a state estimator is designed by solving a set of linear matrix inequalities that can be solved with existing software. Finally, The effectiveness of state estimation approach can then be demonstrated through a numerical example.
The operations of blast furnaces(BFs) are very vital for the long-term stability of the iron making *** burden distribution and blast supply are the two major operation systems of *** present,the researches are lack e...
The operations of blast furnaces(BFs) are very vital for the long-term stability of the iron making *** burden distribution and blast supply are the two major operation systems of *** present,the researches are lack effective adjustment methods for the BF operations combined with burden distribution and blast *** burden distribution affects the iron making process on a long time scale,while the blast supply afects the iron making process on a short time *** paper presents a multi-time sampling-data adjustment strategy for the BF operations aiming at optimizing *** multiple time ***,this paper analyzes the relationship between the gas utilization ratio(GUR) and the burden distribution,the blast supply on multiple time ***,this paper establishes a prediction model of *** the long time scale and the short time scale based on autoregressive integrated moving average(ARIMA).Next,this paper provides a control strategy of burden distribution and a control strategy of blast supply by a prediction model based on support vector regression(SVR).Finally,this paper makes experiments and applies this method in a real-world *** analysis of the results shows the control strategy of the BF operations provides a good guide on making a suitable decision for burden distribution and blast supply.
In this paper, the stability of Amplidyne Electrical systems(AESs) with a time-varying delay is studied. Firstly,the model of AESs with a time-varying delay is established. Secondly, an augmented Lyapunov-Krasovskii f...
In this paper, the stability of Amplidyne Electrical systems(AESs) with a time-varying delay is studied. Firstly,the model of AESs with a time-varying delay is established. Secondly, an augmented Lyapunov-Krasovskii functional(LKF)is constructed. Then, a less conservative delay-dependent stability criterion for AESs with a time-varying delay is obtained by utilizing the generalized reciprocally convex combination and an advanced negative-determination quadratic function ***, the superiority and effectiveness of the proposed criterion is verified 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 paper, the master-slave synchronization issue of chaotic Lur'e systems with time-varying-delay feedback control is investigated. Firstly, the synchronization problem of chaotic system is transformed into t...
In this paper, the master-slave synchronization issue of chaotic Lur'e systems with time-varying-delay feedback control is investigated. Firstly, the synchronization problem of chaotic system is transformed into the stability problem of chaotic synchronization error system, which is studied based on Lyapunov-Krasovskii functional(LKF) method. Secondly, a novel augmented LKF with more cross terms that related to time-varying delay is proposed. Based on the application of the relaxation integral inequality and the reciprocally convex matrix inequality, an improved synchronization criterion is derived by using the cubic function negative-determination lemma. Finally, a numerical simulation example demonstrates the effectiveness and advantages of the proposed methods.
This paper explores the finite-time synchronization of a class of discrete-time nonlinear singularly perturbed complex networks using a dynamic event-triggered mechanism(DETM). The DETM is designed to optimize packet ...
This paper explores the finite-time synchronization of a class of discrete-time nonlinear singularly perturbed complex networks using a dynamic event-triggered mechanism(DETM). The DETM is designed to optimize packet transmission, aiming to conserve network resources. By constructing a Lyapunov function considering singularly perturbed parameters(SPPs) and DETM information, a sufficient condition for the dynamics of synchronization error system to be finite-time stable is given. The parameters of the synchronization controller can be determined by solving a set of matrix inequalities. The effectiveness of the proposed controller is demonstrated through a numerical example.
This paper uses the wave equation to explain the torsional motion of the drill-string system.S olving the wave equation with the D'Alembert method,a neutral time-delay model of the drill-string system is *** distu...
This paper uses the wave equation to explain the torsional motion of the drill-string system.S olving the wave equation with the D'Alembert method,a neutral time-delay model of the drill-string system is *** disturbance input,caused by the bit-rock interaction,is given consideration,and an equivalent-input-disturbance(EID) based controller is designed to mitigate the disturbance in the established *** the actual drilling procedure,the system input time-delay increases as the length of the drill columns *** the influence of system input time-delay in the drilling procedure is ignored,it will most likely lead to the drill-string system instability and cause serious *** essential contribution of this paper is the incorporation of input time-delay into the EID based control *** the system's input time-delay,the proposed model is more practical and has significant implications for stick-slip vibration assessment and control in drilling procedures.
Real-time environmental monitoring using a multi-agent system (MAS) has long been a focal point of cooperative control. It is still a challenging task to provide cost-effective services for potential emergencies in su...
详细信息
Geo-hazards have become one of the main disasters endangering the safety of people's lives and property in the *** order to improve the early warning of disasters, a persistent monitoring method of multi-agent sys...
Geo-hazards have become one of the main disasters endangering the safety of people's lives and property in the *** order to improve the early warning of disasters, a persistent monitoring method of multi-agent systems is proposed in this *** ensure that the agent's energy is never exhausted, the set invariance constraint is included in the optimization problem. The goal is to minimize the difference between the actual control input of the robot and the nominal control input corresponding to the task to be performed. Moreover, the control barrier function(CBF) is used to transform the forward invariance of a subset of the robot state space into a control input constraint. The coverage control method in an uncertain environment is verified by numerical simulation. This work provides new insights into effective monitoring and early warning of geo-hazards.
暂无评论