The H performance state estimation for static neural networks with time-varying delays is studied in this ***,an augmented Lyapunov-Krasovskii functional(LKF) with the triple integral term and the delay-product-type...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
The H performance state estimation for static neural networks with time-varying delays is studied in this ***,an augmented Lyapunov-Krasovskii functional(LKF) with the triple integral term and the delay-product-type term is ***,a generalized reciprocally convex matrix inequality is employed to deal with the derivative of the *** that,by utilizing the relaxed quadratic function negative-definiteness determination method to dispose of the time derivative of the delay-product-type term,a less conservative state estimation criterion is ***,the effectiveness of the proposed method is shown through a numerical example.
The randomness of photovoltaic power generation and the disorder of electric vehicle charging have a significant impact on the transmission capacity of the smart park tie *** storage can help to stabilize the power fl...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
The randomness of photovoltaic power generation and the disorder of electric vehicle charging have a significant impact on the transmission capacity of the smart park tie *** storage can help to stabilize the power fluctuation of the tie line and improve distribution network operation *** this paper,the park's source and load uncertainty models are established to determine the original transmission power of the distribution network tie line,and then the tie line's power control model is established to ensure that the power fluctuation rate of the distribution network tie line varies within a certain *** power required for hybrid energy storage stabilization is calculated,and the high-pass filtering algorithm is used to allocate *** amount of power required to stabilize the supercapacitor and lithium battery is *** hybrid energy storage capacity configuration model is built on top of *** hybrid energy storage constraints are constructed using the maximum annual income of the hybrid energy storage as the objective function,and the adaptive particle swarm optimization(APSO) is used to solve the problem,resulting in the hybrid energy storage's optimal capacity ***,an example is used to simulate the *** simulation results show that this method can keep the tie line's power fluctuation rate within a narrow range as much as possible,which can be used as a reference for a smart park's energy storage configuration.
Aiming at the problem of how to avoid the joint limit and singular position in continuous trajectory planning of the S-R-S redundant manipulator,a new inverse kinematics optimization algorithm is proposed in this ***,...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Aiming at the problem of how to avoid the joint limit and singular position in continuous trajectory planning of the S-R-S redundant manipulator,a new inverse kinematics optimization algorithm is proposed in this ***,according to the special geometry of S-R-S manipulator,we take the arm angle as the redundant parameter to obtain the joint angle expressions under the given tip pose and arm *** we discuss the feasible arm angles under joint limit in nonsingular and singular cases,and give a complete method to obtain the effective arm ***,we introduce the concept of virtual force to represent the degree that the joint is far from the limit,and define the optimization objective function with the virtual force as the weight to avoid joint limit,the complex relationship between the arm angle and joint angles is linearized by the difference method to simplify the objective function to quadratic function,combine with the feasible arm angle range,we realize singularity avoidance and joint limit avoidance at the same *** simulation result shows that compared with the traditional algorithm,the algorithm proposed in this paper has better joint limit avoidance ability on the premise of avoiding singularity which reflects the superiority of the algorithm and can be used for the motion planning of the manipulator in practical engineering.
This paper takes the iron-making blast furnace in operation of a steel plant as the specific object,analyzes the erosion status and characteristics of different parts of the furnace hearth and bottom combined with iro...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper takes the iron-making blast furnace in operation of a steel plant as the specific object,analyzes the erosion status and characteristics of different parts of the furnace hearth and bottom combined with iron-making process and erosion mechanism of the blast furnace,designs an intelligent monitoring system for erosion of the furnace hearth lining,visualizes the temperature measurement *** erosion calculation model is established by using the heat transfer mechanism to quickly solve the erosion boundary for the area with low erosion degree and rate,and performs a fast solution of the erosion *** areas with high erosion degree and rate,the particle swarm optimization algorithm is selected by using its adaptive *** solves the erosion boundary accurately from the rough solution of the mechanism model,and the residual thickness of furnace lining is output and displayed,which helps ironmakers optimize the blast furnace production operation,maintenance strategy,improve production efficiency and reduce energy consumption.
In this paper,we study the leader-following consensus for multi-agent systems with long input time delay under jointly connected directed switching *** adopt an adaptive distributed observer that can make every agent ...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In this paper,we study the leader-following consensus for multi-agent systems with long input time delay under jointly connected directed switching *** adopt an adaptive distributed observer that can make every agent estimate the information of the *** we propose a new controller utilizing the predictor feedback technique,and then map MAS s into ODE-PDE(Ordinary differntial equations-Partial differntial equations) target systems so that we can utilize Lyapunov-Krasovskii function to analyze the stability of the *** are used to vertify the results in the end.
In this work,a virtual teacher is designed to play the mirror game with human *** individual motor signature is taken into account,which allows to produce diverse teaching *** teaching effect of virtual teacher is ass...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In this work,a virtual teacher is designed to play the mirror game with human *** individual motor signature is taken into account,which allows to produce diverse teaching *** teaching effect of virtual teacher is assessed by comparing and analyzing the original movement characteristics of human players and the movement characteristics after going through the teaching ***,stability analysis of the teaching model is ***,the feasibility of the model is verified by comparing the data of several groups of samples.
To achieve effective deployment of the facial expression recognition(FER) system on marginalized devices,we designed a lightweight neural network based on ShufflenetV2,which can balance the relationship between the nu...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
To achieve effective deployment of the facial expression recognition(FER) system on marginalized devices,we designed a lightweight neural network based on ShufflenetV2,which can balance the relationship between the number of network parameters and the accuracy of *** this paper,a non-parameter SimAM attention module that can extract 3 D features is employed in the ShufflenetV2 network to enhance the spatial features extraction ability of the network,and the shortcut branch is introduced in Bottleneck for information interaction and feature fusion between *** tests were carried out on the RaFD dataset,and the recognition accuracy reaches 98.04%,while the number of model parameters is only 1.4 M.
Particle Detection plays important roles in industrial and medical image ***-learning based methods can only deal with the particle images with simple backgrounds and sparse *** most neural network based methods can a...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Particle Detection plays important roles in industrial and medical image ***-learning based methods can only deal with the particle images with simple backgrounds and sparse *** most neural network based methods can also hardly to deal with overlapping objects and small particles,besides,the huge amount of parameters of these methods also has a great demand for annotated data,which is difficult to ***,we use bright pixels to represent the spatial position of particles,and artificially divid the sizes of particles into multiple intervals.A feature representation called Light-spots Maps is proposed to replace the bounding box and pixel classifications in our detection *** Light-weight networks based on ResNets is used to transform the particle images into Light-spots maps to detect the particle *** experiments,we prove the effectiveness of our method.
This paper investigates the event-triggered asynchronous fault detection(FD) problem for discrete-time switched systems with sojourn *** propose a novel asynchronous FD filter(FDF),of which the sojourn probability...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper investigates the event-triggered asynchronous fault detection(FD) problem for discrete-time switched systems with sojourn *** propose a novel asynchronous FD filter(FDF),of which the sojourn probability is related to the mode of the switched system.A hybrid adjusting variables-dependent event-triggered mechanism(ETM) is devised to reduce the waste of network *** construct a new Lyapunov function that contains the mode of the switched system and a flexible variable in the ETM.A sufficient condition in terms of matrix inequalities is obtained under which the error dynamics is stochastically stable with a prescribed H *** parameters of the FDF are explicitly given based on the feasible solutions to these matrix inequalities.A numerical example is provided to demonstrate the effectiveness of the proposed event-triggered asynchronous FD method.
Seepage diseases in embankments are very common,and if they cannot be treated in time,they will bring serious safety hazards and even cause embankment break *** the location and depth of a seepage channel is the prere...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Seepage diseases in embankments are very common,and if they cannot be treated in time,they will bring serious safety hazards and even cause embankment break *** the location and depth of a seepage channel is the prerequisite and basis for the treatment of seepage *** present,there are several methods are used to detect seepage in embankments,but none of them can accurately calculate or explain the depth of seepage *** magnetic gradient tensor method,which is widely used in the depth calculation of magnetic sources,is only suitable for the magnetic dipole model,and not suitable for the tubular model similar to the seepage *** view of this,this paper draws on the idea of magnetic exploration,and proposes a forward and inverse calculation method for the depth of the seepage *** method first builds a variety of basic seepage channel models based on certain constraints,and calculates the magnetic field value of each model at each measuring point on the ground *** compare the actual measured magnetic field value with the model magnetic field value to find the closest seepage channel ***,by continuously optimizing the closest model,the real seepage channel is gradually *** model calculated by this method can better reflect the depth information of the real seepage channel,and the depth error is less than lm.
暂无评论