Recently, the emotional robot has basic functions of perceiving and expressing emotions, but it still hard to communicate naturally between humans and robots. One major reason is that communication atmosphere is seldo...
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This paper provides an oscillation trajectory optimization and control method for two-link underactuated manipulators (UMs) in a vertical plane. The proposed method solves the problem that the UMs cannot always enter ...
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Traditional energy-based sound source localization methods have the problems of the large solution space and time-consuming calculation. Accordingly, this paper proposes to use the data collected by each acoustic sens...
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Traditional energy-based sound source localization methods have the problems of the large solution space and time-consuming calculation. Accordingly, this paper proposes to use the data collected by each acoustic sensor and their corresponding weights to adaptively initialize the prior area of a target. In this way, the potential existence range of the target is reduced and the location estimate can be determined in a small area. Specifically, we first determine the initial search point based on the current sound data and the set rules. Then, the prior location of the target is iteratively searched according to different sound energy circles' weights. Next, the prior area of the target is determined around the prior location. Finally, the precise location of the target is further traversed to minimize the objective function, which is constructed by the weighted nonlinear least squares location(WNLS) algorithm. A series of indoor experiments are *** results show that our method can effectively improve the positioning accuracy by approximately 13%and greatly reduce the calculation time.
Accurate dynamic state estimation plays an important role in power systems. Although various filtering algorithms, such as unscented Kalman filter (UKF) and particle filter (PF), have been proposed based on phasor mea...
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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 is concerned with the controller design and the theoretical analysis for time-delay systems, a two degree of freedom (feedforward and feedback) control method is proposed, which combines advantages of the S...
This paper is concerned with the controller design and the theoretical analysis for time-delay systems, a two degree of freedom (feedforward and feedback) control method is proposed, which combines advantages of the Smith predictor and the active disturbance rejection control (ADRC). The feedforward part of controller is used to track the set point, the feedback part of controller (ADRC) is used to suppress interferences and the Smith predictor is used to correct time delay. The proposed control design is easy to tune parameters and has been proved to effectively controlsystems with large time delay. The bounded input bounded output (BIBO) stability of closed-loop system is verified. Finally, numerical simulations show the effectiveness and practicality of the proposed design.
In the smelting process of a blast furnace(BF),BF operations can regulate the permeability index(PI),but different operations affect the PI on different time *** at the problem that BF operations have multi-time-scale...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In the smelting process of a blast furnace(BF),BF operations can regulate the permeability index(PI),but different operations affect the PI on different time *** at the problem that BF operations have multi-time-scale effects on the PI,this paper uses a multi-time scale method to analyze the influence of each operation on PI at different time ***,the influence of BF operations on the PI is analyzed through the ironmaking mechanism,and three mechanism chains of BF operations affecting the PI were *** this basis,the time scale of the mechanism chains is ***,a crosscorrelation analysis is used to calculate the time-delay relationship between each operation and the ***,the influence of different operation parameters on the PI is verified by real-world production data,and the multi-time scale characteristics of the influence of BF operations on the PI are proved.
In the problem of multi-agent coverage,a group of agents are required to cover a given region or clean the workload as soon as *** workload partition can improve the work efficiency of multi-agent *** addition,the com...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In the problem of multi-agent coverage,a group of agents are required to cover a given region or clean the workload as soon as *** workload partition can improve the work efficiency of multi-agent *** addition,the communication delays play a key role in the stability of multi-agent ***,a distributed control algorithm of workload partition with time delay is proposed in this ***,an approach based on nonlinear matrix inequality is presented to find the maximum delay of multi-agent ***,experiments are carried out to investigate the effect of delay on system stability on the ZigBee platform.
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.
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.
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