An efficient distributed algorithm for mobile nodes of wireless sensor network (WSN) is proposed. A smart mobile robot is designed as the special node of WSN, and the nodes of WSN are deployed in the environment as si...
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ISBN:
(纸本)9780819473622
An efficient distributed algorithm for mobile nodes of wireless sensor network (WSN) is proposed. A smart mobile robot is designed as the special node of WSN, and the nodes of WSN are deployed in the environment as signposts for the robot to follow. We use the RSSI value between the robot and other static nodes as the input of the navigation controlsystem. The mobile robot state and navigation space are denoted by the RSSI potential field. Navigation directions are computed by using fuzzy logic method. To reduce the communication expense, each node within one hop communication range of robot is a distributed navigation unites. Then the fuzzy logic control centre will collect the control outputs from every beacon nodes and calculate the final outputs for mobile robot based on data fusion. The experimental results confirm that the navigation system based on WSN successfully achieved their assigned tasks.
In a measurement system, new representation methods are necessary to maintain the uncertainty and to supply more powerful ability for reasoning and transformation between numerical system and symbolic system. A grey m...
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In a measurement system, new representation methods are necessary to maintain the uncertainty and to supply more powerful ability for reasoning and transformation between numerical system and symbolic system. A grey measurement system is discussed from the point of view of intelligent sensors and incomplete information processing compared with a numerical and symbolized measurement system. The methods of grey representation and information processing are proposed for data collection and reasoning. As a case study, multi-ultrasonic sensor systems are demonstrated to verify the effectiveness of the proposed methods.
This paper presents a speed control of an induction motor. The design uses an feedforward Artificial Neural Network (ANN) to implement a rotor speed estimator, and a robust control strategy based on the sliding-mode. ...
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ISBN:
(纸本)9780889867741
This paper presents a speed control of an induction motor. The design uses an feedforward Artificial Neural Network (ANN) to implement a rotor speed estimator, and a robust control strategy based on the sliding-mode. The proposed control scheme also make use of the field oriented control theory to simplify the proposed control design. The stability analysis of the presented control scheme is provided using the Lyapunov stability theory. Finally simulated results show that the presented controller with the proposed observer provides high-performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances.
This paper proposes an optimal control method for a 10 degree of freedom (DOF) biped robot with stable walking gait. The biped robot is modeled as a 3D inverted pendulum. From dynamic model of the 3D inverted pendulum...
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This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermo...
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ISBN:
(纸本)9780769534404
This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermore, NSCT is very efficient in extracting the geometric information of images and therefore it has very good feature localization. The NSCT-based point detector is compared to the widely used Harris and Difference of Gaussian (DoG) interest point detectors. The experimental results reveal the robustness of the proposed algorithm to rotation, scale and viewpoint changes.
This paper analyzes the possibility of using a new philosophy of experimental engineering laboratory for power electronic converters applied to electric machine control. The aim is to develop an environment which, on ...
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ISBN:
(纸本)9780889867741
This paper analyzes the possibility of using a new philosophy of experimental engineering laboratory for power electronic converters applied to electric machine control. The aim is to develop an environment which, on the one hand, permits the students to design hardware and software blocks that can be incorporated into an electronic power system and, on the other hand, allows the communication and control of this system via the web. The students work in groups, on asynchronous and synchronous software platforms, on the same task and they should look for the best solution for the required design. The drawbacks related to high voltages and currents, waiting for attention from the professor, the high cost of maintenance and updating of an experimental laboratory can be overcome with the use of the Shared Hybrid Virtual-Experimental Laboratory (SHVEL). The validation of the proposed method has been carried out on an experimental system based on the digital signal processor DSP56F807 and on the free software platform FreeMaster from the commercial firm Freescale™.
Although multifractal descirbles the singularity distribution of SE, there is no time information in the multifractal formalism, and the time-varying singularity distribu-tion indicates the spatial dynamics character ...
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In this paper a method for coverage control for a convex region D ⊂ ℝ 2 in a dynamic environment is studied. An information map is introduced in which the information about each point is decaying with respect to time ...
In this paper a method for coverage control for a convex region D ⊂ ℝ 2 in a dynamic environment is studied. An information map is introduced in which the information about each point is decaying with respect to time s.t. the robots must revisit them periodically. Also a time-varying density function is used for modeling moving points of interest. The considered gradient based control approach causes the cost function to stay within the desired bounds. But due to the non-stationary problem setup caused by the information decay it does not converge to a single point but to a bounded set, such that the robots keep gathering information continuously. With this method it is possible to gather information about several points of interest within the region D with only a few robots. In the end simulation results are presented to outline the effectiveness of the proposed control law.
The non-invasive fet al Electrocardiogram (FECG) can provide reliable information about the fetus'state. The original FECG signal is nevertheless very complex and severely contaminated by external disturbances or ...
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ISBN:
(纸本)9781424417483
The non-invasive fet al Electrocardiogram (FECG) can provide reliable information about the fetus'state. The original FECG signal is nevertheless very complex and severely contaminated by external disturbances or noises. It is very hard, even not impossible, to reliably extract the FECG from the abdominal signal using traditional techniques. In this work the recursive least squares (RLS) based adaptive noise canceling (ANC) approach is applied to eliminate the maternal ECG (MECG) and hence to extract the FECG. The experimental results have demonstrated that the developed ANC approach can speed up convergence of the normalized least mean squares (NLMS) algorithm and is able to track non-stationary FECG signal in an adaptive manner.
The conventional GPS tracking loop is optimal in Maximum likelihood Estimation (MLE), respectively. It well works in normal signal to noise ratio (SNR) and signal dynamics within the tracking loop bandwidth. But, when...
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ISBN:
(纸本)9781605606897
The conventional GPS tracking loop is optimal in Maximum likelihood Estimation (MLE), respectively. It well works in normal signal to noise ratio (SNR) and signal dynamics within the tracking loop bandwidth. But, when the receiver operates in high dynamic environment, discriminator linearity doesn't maintain and tracking loop error increase. In the previous rearch, several algorithms were proposed to overcome these problems such as EKF based tracking loop, grid method. In the previous paper [Gee, ENC 2005], LQG based GPS receiver tracking loop is developed using EKF and Linear Quadratic Regulator (LQR). The EKF estimate the range rate, code phase, carrier phase error and navigation bit from inphase and quadrature measurement. And LQR calculate the optimal DCO input using pre-calculated steady state feedback gain. It had good tracking performance than conventional tracking loop in normal condition because it is designed to consider correlation of code and carrier tracking loop. But there is problem about nonlinearity of measurement model as ever. In this paper, LQG based GPS tracking loop is implemented using nonlinear filtering techniques, i.e. Unscented Kalman Filter (UKF) and Particle Filter (PF). Also, the implemented algorithm performance is evaluated and compared. In the EKF, the measurement equations are linearized to the first order Taylor series in order to apply the Kalman filter, which is supposed to linear Gaussian systems. Instead of truncating the nonlinear measurement equation the UKF and PF approximate the distribution of the state deterministically and randomly, with a finite set of samples, and then propagate these points or particles through the original nonlinear functions, respectively. Because the nonlinear functions are used without approximation, it provides the better performance.
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