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...
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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.
With the development and utilization of natural resources,geological hazards have posed a great threat to people's life and property *** is of great significance to realize the design of distributed geological dis...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
With the development and utilization of natural resources,geological hazards have posed a great threat to people's life and property *** is of great significance to realize the design of distributed geological disaster monitoring experimental system aimed at a series of problems,such as ecological environmental damage and major natural ***,this paper conducts the system requirements analysis based on the Three Gorges area as an ***,the system architecture and function is designed,and the system hardware configuration and application software design are carried ***,geological hazards intelligent monitoring system is developed and has been verified in Zigui-Badong region of the Three Gorges,which can effectively improve the information utilization rate and monitoring efficiency in the process of geological hazards *** results show that the system works well and can effectively monitor the occurrence of geolo gical hazards.
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...
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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.
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...
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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.
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...
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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.
This work proposes a fully soft grasping device to perform complex tasks,which consists of the modularized soft grippers and the bi-directional bending soft *** the modularized soft gripper part,we adopt caps to seal ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This work proposes a fully soft grasping device to perform complex tasks,which consists of the modularized soft grippers and the bi-directional bending soft *** the modularized soft gripper part,we adopt caps to seal both ends of the gripper and connect the adjacent knuckles by *** modularized design not only makes the soft grippers like human fingers to achieve segmental bending,but also reduces the waste caused by local *** the soft holder part,we present a bidirectional bending method to automatically adjust the grasping space,and we also establish a mathematical model to describle the relationship between the soft holder's bending angle and the air ***,in order to evaluate the dynamic response and position accuracy of the grasping device,a PID controller is designed for the soft grasping device to track the step,sine,and square wave ***,the great grasping performance of the fully soft grasping device is verified by experiments.
This paper is concerned with the stability analysis of discrete-time neural networks with a time-varying ***,an improved augmented Lyapunov-Krasovskii functional(LKF) is established by adding single/double-summation *...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper is concerned with the stability analysis of discrete-time neural networks with a time-varying ***,an improved augmented Lyapunov-Krasovskii functional(LKF) is established by adding single/double-summation ***,by utilizing summation inequalities,the forward difference of the constructed functional is estimated as a cubic function with respect to the *** applying the cubic function negative-determination lemma,a less conservative stability criterion is obtained,whose advantages are demonstrated via a numerical example.
This paper studies the finite-time control problem for a class of high-order nonholonomic systems.A new smooth coupling controller is proposed to make the system states converge to zero in *** order to ensure the stat...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper studies the finite-time control problem for a class of high-order nonholonomic systems.A new smooth coupling controller is proposed to make the system states converge to zero in *** order to ensure the states constraints of the nonholonomic systems,a new adding a barrier power integrator technique is *** barrier function is integrated into the traditional adding a power integrator ***,the proposed controller is singular-free and can produce smooth control ***,simulations verify the obtained results.
The hybrid group consensus of multi-agent systems that consist of two groups in environments with time-delays and additive noises is studied in this *** hybrid group consensus implies that the agents in one group achi...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
The hybrid group consensus of multi-agent systems that consist of two groups in environments with time-delays and additive noises is studied in this *** hybrid group consensus implies that the agents in one group achieve strong consensus and the agents in another group achieve weak consensus.A new type of control protocol is proposed to achieve the following hybrid group consensus behavior:the agents in the first group and in the second group achieve strong consensus and weak consensus,*** sufficient conditions are obtained for the hybrid group consensus problem in both mean square and almost sure ***,a simulation example is given to illustrate the feasibility of the theoretical results.
This paper presents an improved stability condition for neural networks with a time-varying ***,an improved Lyapunov-Krasovskii functional(LKF) is constructed by introducing the delay-product term and the augmented **...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper presents an improved stability condition for neural networks with a time-varying ***,an improved Lyapunov-Krasovskii functional(LKF) is constructed by introducing the delay-product term and the augmented ***,a less conservative delay-dependent stability criterion for neural networks with a time-varying delay is established by utilizing the generalized reciprocally convex combination and a relaxed quadratic function ***,a numerical example is used to illustrate the merit and effectiveness of the proposed stability criterion.
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