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Radiation thermometry is one of the important ways to obtain target temperature, which mainly includes dual-waveband colorimetric temperature measurement. The precision is limited by atmospheric transmittance and the air path radiation when infrared signature of a target measured in the atmosphere. To increase the precision, a correction-based dual-waveband color comparison thermometric method is...
Facing the shortcomings of fuzzy set in fuzzy time series, a new data fuzzification method is presented by a kind of new fuzzy sets based on distance sense. Then, the reduction algorithm of fuzzy rules is given by the characteristic expansion method. Finally, through the forecasting of Alabama university enrollments, the results show that the proposed method is effective.
Recently, high performance quadruped robots have obtained extensive attention at home and broad, the related research work was developed in view of how to improve the highly dynamic characteristics, high environmental adaptability and heavy payload capacity of quadruped robots and has achieved certain achievements. In order to improve the highly dynamic characteristics of quadruped robots and through...
Geometric rectification problems of the strapdown scene matching for aircraft with attitude variances are investigated. Firstly, by analyzing the main factors causing geometric distortion in the process of real-time image capturing, two coordinates system are established, the real-time image distortion is classified, and the distortion mathematic models are proposed. Then, according to the altitude...
In order to make better use of the hidden information value in the Deep Web, get fast and accurate access to the embedded entity data, this paper presented a method for extracting entity data from Deep Web precisely, designed a entity extraction system, which will extract data from Deep Web automatically. Firstly, designed a web crawler based on the characteristics of Deep Web, take advantage of the...
This paper investigates the exponential synchronization problem of stochastic complex dynamical networks with impulsive perturbations and Markovian switching. The complex dynamical networks consists of κ modes and the networks switch from one mode to another according to a Markovian chain with known transition probability. Basing on the Lyapunov functional method and stochastic analysis, by employing...
Due to its inherent safety feature, the modular high temperature gas-cooled reactor (MHTGR) has been seen as one of the best candidates in building next generation nuclear plants (NGNPs). Since the MHTGR dynamics has high nonlinearity, it is necessary to develop nonlinear power-level controller which is not only beneficial to the safe, stable, efficient and autonomous operation of the MHTGR but also...
We propose a novel regression, which is called Twin Support Vector Regression (TSVR) to improve the precision of indoor positioning. Similar as Support Vector Regression (SVR), there are 6 parameters to be identified. However, compared with SVR, less computation time and approximate performance can be achieved with TSVR. Genetic Algorithm (GA) is used to avoid local optimum in indoor positioning to...
This paper proposes an analysis method of power grids vulnerability based on complex networks. The method effectively combines the degree and betweenness of nodes or lines into a new index. Through combination of the two indexes, the new index can help to analyze the vulnerability of power grids. Attacking the line of the new index can obtain a smaller size of the largest cluster and global efficiency...
A distributed localization scheme based on mobility prediction for mobile underwater wireless sensor networks is proposed. Anchor nodes perform self-localization and mobility prediction, and serve as reference nodes to localize ordinary nodes. According to the group movement properties of underwater objects, ordinary nodes perform self-localization by utilizing the neighboring nodes' locations and...
In this paper, a kind of output feedback adaptive pinning controller is designed for the synchronization of state-coupling and output-coupling complex dynamical networks, where some states are immeasurable. The adaptive coefficients are related to the property of controlled nodes, different from the past researches in which they were simply set as constants. Based on Lyapunov stability theory, synchronization...
Under the cloud manufacturing environment, with the increasing number of manufacturing cloud services, one of the issues needs to be resolved is to find a manufacturing cloud service that meets users' demand. However, until now, there is not an outstanding manufacturing cloud discovery mechanism to help users to find the appropriate solution among numerous existing manufacturing cloud services. In...
The combustion system is a large inertia, pure delay, nonlinear distributed parameter system. The control effect of PID regulator and dual cross limiting PID control in the combustion system is not satisfactory; the conflict of the overshoot and response time can not be resolved with relatively poor anti-interference ability of the system. In the control of the roaster, by adopting the method of combining...
Path optimization for the eddy-current on the surface of conductor is of great importance because the transmission efficiency of the permanent magnetic driver depends on the excitation level generated by the induced current. In this paper we focus on a kind of permanent magnetic driver with notched conductive plate with which the current path is optimized, the current is made to flow radically and...
In this paper, Chinese was divided into two groups of Han and Minority groups. First, population trends of both groups were estimated by a simple discrete exponential growth model. Second, population trends of both groups were simulated and analyzed by Logistic model based on 2000–2010 census data and sample survey data. All models were evaluated and analyzed. The conclusions were whether it was the...
In order to meet the high-precision positioning requirements of permanent magnet linear synchronous motor (PMLSM) servo system, a disturbance compensation method of position controller with optimal parameter disturbance compensating controller is proposed. It ensures that the system has a good transient response and a good load disturbance rejection capability. The position controller enhances the...
In this paper, the path tracking control problem for intelligent vehicle in non-single straight road conditions is researched. When the vehicle turns, we can regard it as the vehicle running through a portion of Arc-shaped sections. The centripetal force of the vehicle in cornering can be equivalent to the lateral constant interference, and the optimal output feedback H∞ controller is designed to...
In order to alleviate the city traffic pressure, reduce the delay time of vehicles on the road, this paper design a traffic monitoring system based on RFID. Integrated climate, road conditions and power control all the factors considered, this papers choose to use passive tags to identify the vehicle. Multifunctional integration RFID reader reads the tag information stored inside the vehicle effectively,...
The paper investigates the output-feedback control problem for a more general class of stochastic nonlinear systems with stochastic integral input-state stability (SiISS) inverse dynamics driven by noise of unknown covariance. With the aid of stochastic LaSalle theorem, small-gain type conditions and backstepping technique, an adaptive output-feedback controller is successfully constructed to render...
As for parameters fluctuating, uncertainties caused by external disturbance and friction, the nonlinearity of the flight simulator turntable servo system, a discrete model reference sliding mode control theme combining with adaptive method and decoupled disturbance compensator is presented, and the globally asymptotically stability of the system is proved. The simulation results verified that the...
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