Towards complex indoor environment, this paper proposed a fusion method of sequential Mb-ICP scan matching for mobile robot map building. We firstly introduce the classic ICP scan matching method and its limitations f...
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A portable near-infrared (NIR) spectroscopy analyzer is developed for rice wine analysis. The analyzer is composed of a lamphouse, a temperature-controlled sample chamber, a mini-spectrometer, and a control unit. The ...
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A portable near-infrared (NIR) spectroscopy analyzer is developed for rice wine analysis. The analyzer is composed of a lamphouse, a temperature-controlled sample chamber, a mini-spectrometer, and a control unit. The mini-spectrometer is based on the crossed Czerny-Turner structure grating platform and a linear InGaAs array detector with spectrum range of 1100?2500 nm and spectral resolution of 1.5-12 nm full-width at half-maximum (FWHM). The control software written in VC++ consists of three parts: the spectra acquisition, the model establishment, and the sample analysis. The calibration models of determination of alcohol and nonsugar solids in rice wine are established with 54 samples. After calibration, the portable analyzer is used for real-time analysis of the rice wine sample.
The sprag overrunning clutch is an important functional unit of electro-mechanical transmission system. The defects of the overrunning clutch in traditional cage structure, such as sprag easily to roll over, large wea...
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The sprag overrunning clutch is an important functional unit of electro-mechanical transmission system. The defects of the overrunning clutch in traditional cage structure, such as sprag easily to roll over, large wear and poor manufacturing process, etc happened under the condition of high rotate speed. On basis of analyzing the traditional structure of cage, the main parts structure, working principle and characteristics of new-type high-speed cage structure sprag overrunning clutch have been described, and the work performance of the new overrunning clutch has been tested.
Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturi...
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ISBN:
(纸本)9781424494408
Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturing mode and changed production environment factors. In this paper, a matching decision model for self-adaptability of knowledge manufacturing system based on the fuzzy neural network is proposed. The changed production environment factors are regarded as linguistic variable inputs. A modified momentum factor B-P algorithm consisting of information feed-forward process and the error back-propagation process is used. The proposed FNN model is employed to evaluate the matching degree of a car-lamp production manufacturing mode to variable environment units. Matching result indicates adaptive degree of manufacturing system. Experiment result demonstrates the method is effective.
In order to solve the problem that the coverage area of ZigBee tree network is restricted by the depth, so that new nodes can not join the network and become a orphan, this paper introduces a project of expanding netw...
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In order to solve the problem that the coverage area of ZigBee tree network is restricted by the depth, so that new nodes can not join the network and become a orphan, this paper introduces a project of expanding network coverage area. In this project, through the manual of the button, we can choose a qualified end device to convert to the router configuration, then the device as a router receives new nodes to join the network, The requirement would be realized by improving and innovating ZigBee protocol stack. The project works well in the experiment, it saves the device energy and expands the scope of network.
Components of power systems are essentially a special class of nonlinear differential-algebraic equations subsystems, whose index is one and interconnection is local measurable. In this paper, the invertibility of pow...
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Components of power systems are essentially a special class of nonlinear differential-algebraic equations subsystems, whose index is one and interconnection is local measurable. In this paper, the invertibility of power systems components is discussed. Firstly, the definition of invertibility is presented. Secondly, a recursive algorithm is proposed to judge whether the controlled components are invertable. Then a physically feasible right inverse controller is constructed with which the controlled components are made linearization and decoupled. Finally, an excitation controller is designed for one synchronous generator within multi-machine power systems based on the proposed method in this paper.
In this paper, genetic algorithm and modified dynamic programming are applied to path planning of robotic fish for the first time. Using grid method to the environment modeling and applying genetic algorithm to the pa...
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In this paper, genetic algorithm and modified dynamic programming are applied to path planning of robotic fish for the first time. Using grid method to the environment modeling and applying genetic algorithm to the path planning, an optimal or sub-optimal robot path can be obtained. Since the robotic fish can't track linear motion, the robot path can be seen as several circular arc. Based on the optimal path obtained via genetic algorithm, modified dynamic programming algorithm is proposed to calculate the shortest circular arc path, fish velocity and direction in every step. Finally the experiment on the robotic fish control software shows the effectiveness of the proposed method.
This paper researches the consensus problem of high-order multi-agent systems. A new dynamic neighbor-based protocol is proposed which contains two parts, one is the local feedback and the other is the distributed fee...
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Least squares support vector machine is new methods of classification and regression function in the field of machine learning in recent years. This paper introduces the basic principles and algorithm of least squares...
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ISBN:
(纸本)9787510020841
Least squares support vector machine is new methods of classification and regression function in the field of machine learning in recent years. This paper introduces the basic principles and algorithm of least squares support vector machines. Then realize the least squares support vector machines' application in real-time filtering prediction for the gyro's random drift. Through the MATLAB simulation, the results show this method is effective.
A neural based PID feedback control method for networked process control systems is presented. As there are some uncertain factors such as external disturbance, randomly delayed measurements or control demands in real...
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A neural based PID feedback control method for networked process control systems is presented. As there are some uncertain factors such as external disturbance, randomly delayed measurements or control demands in real networked process control systems, the proposed PID controller is implemented by backpropagation neural networks whose weights are updated via minimizing tracking error entropy of closed loop systems. To demonstrate the potential applications of the proposed strategy, an example of a simulated batch reactor is provided. The proposed design method is shown to be useful and effective in dealing with network process control systems.
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