Electromagnetic flow meters based on the principles of Faraday's laws of induction have been used successfully in many *** order to achieve velocity profile measurements in single phase and multiphase flows with n...
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Electromagnetic flow meters based on the principles of Faraday's laws of induction have been used successfully in many *** order to achieve velocity profile measurements in single phase and multiphase flows with non-uniform velocity profiles,a novel Imaging Electromagnetic Flow meter(IEF) has been developed which is described in this *** novel electromagnetic flow meter uses a microcontroller as the processing core to achieve the function of driving the uniform magnetic field,acquiring voltage signals with electronic system,matrix inversion calculation and result *** work undertaken in the paper demonstrates that an imaging electromagnetic flow meter for liquid velocity profile measurement is an instrument that is highly suited for control via a microcontroller.
The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all t...
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ISBN:
(纸本)9781467320658
The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all the states starting from the origin by inputs with peak-values. The constraint with a special structure that appeared in our previous result is removed by combining the Jensen integral inequality and the reciprocally convex approach. In addition, the obtained condition brings a tighter reachable set estimation with lower computational complexity. We also extend the above result to systems with polytopic uncertainties. Finally, an example is presented to illustrate the merit of our proposed method.
In the process of tire production, vulcanization process is the last process and core process in the total production. The vulcanization process becomes the main bottleneck of the whole tire production process because...
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In the process of tire production, vulcanization process is the last process and core process in the total production. The vulcanization process becomes the main bottleneck of the whole tire production process because of the process’s long manufacture time, manufacture centralizing, energy sources large consume. Its plan quality is the key function of improving the utilization of vulcanization equipments and reducing the production cost. Production planning simulating system for vulcanization process based on heuristic algorithm was developed on the basis of studying planning strategy. The system integrates production planning, adjusting production starting time, adjusting the number of devices, inserting orders and withdrawing orders. The software system was tested by online data. Results show that the planning method can quickly workout the optimal production planning of vulcanization. The method will lay the firm groundwork for application to production process in the future.
作者:
Jie DongZhen QinJie Dong
is with School of Automation & Electrical Engineering University of Science and Technology Beijing and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Zhen Qin
was with School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing China
The main difference between visual servo control and computer vision is the requirement of real-time control, which is often higher for the former. Considering the image-based visual control system, camera is included...
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The main difference between visual servo control and computer vision is the requirement of real-time control, which is often higher for the former. Considering the image-based visual control system, camera is included in the closed loop, so the precision is not sensitive to the error of camera parameters. A camera self-calibration method based on a single rectangle is proposed in the paper according to the fact that visual servo system emphasizes real-time property over accuracy for camera models. The image information of the four rectangular vertexes is obtained by the method based on the corner detection in curvature scale space, according to the geometric relationship constructing constraint equations to calibrate camera intrinsic parameters. The advantages of this method are its linear calculation and simple calibrating procedure, avoiding the complex problems of non-linear optimization. The feasibility of this method is shown through simulation and practicality experiments. Regardless of the lower robustness of the proposed method comparing to traditional calibration methods, it is more adaptable to visual servo control system due to its excellent real-time property.
In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial m...
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In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial motion. To achieve this goal, actuator circuits are simulated and in consequence based on simulator model and simulated actuator circuits nonlinear neural network controller will be designed in Damavand Tokamak. Comparison between neural network controller output and PD controller output shows the efficiency of proposed approach.
The more unambiguous statement of the P versus NP problem and the judgement of its hardness, are the key ways to find the full proof of the P versus NP problem. There are two sub-problems in the P versus NP problem. T...
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The more unambiguous statement of the P versus NP problem and the judgement of its hardness, are the key ways to find the full proof of the P versus NP problem. There are two sub-problems in the P versus NP problem. The first is the classifications of different mathematical problems (languages), and the second is the distinction between a non-deterministic Turing machine (NTM) and a deterministic Turing machine (DTM). The process of an NTM can be a power set of the corresponding DTM, which proves that the states of an NTM can be a power set of the corresponding DTM. If combining this viewpoint with Cantor's theorem, it is shown that an NTM is not equipotent to a DTM. This means that "generating the power set P(A) of a set A" is a non-canonical example to support that P is not equal to NP.
This paper addresses the output regulation problem for switched linear systems. When each regulation equation has their own solution, we give a sufficient condition for the output regulation problem to be solvable. Fi...
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This paper addresses the output regulation problem for switched linear systems. When each regulation equation has their own solution, we give a sufficient condition for the output regulation problem to be solvable. Firstly, we give the regulation equations of switched linear systems and the relation of the transformed states between two consecutive switching times. Secondly, the existence of a minimal average dwell-time for every switching sequence is assumed, and by virtue of an appropriate Lyapunov analysis, the output regulation is achieved. Our result is of much less conservativeness.
This paper deals with the problem of guaranteed cost control for a class of switched systems with affine vector fields by using multiple Lyapunov function method. The multiple Lyapunov function (MLF) is constructed fr...
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In this paper,the output feedback control problem for a genetic hypersonic vehicle is considered under the restriction that only the vehicle’s velocity and altitude are measurable. High gain observers (HGO) are utili...
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In this paper,the output feedback control problem for a genetic hypersonic vehicle is considered under the restriction that only the vehicle’s velocity and altitude are measurable. High gain observers (HGO) are utilized to provide estimation signals for unmeasurable derivatives of the vehicle’s velocity and altitude. Neural network based feedforward function is designed to compensate for model uncertainties. The proposed control design require less knowledge of the hypersonic vehicle’s dynamic model. A comprehensive stability analysis of the closed loop system under the output feedback control is carried to prove that the proposed control law yields semiglobal uniformly ultimately bounded tracking while keeping all the closed loop signals bounded. Numerical simulation results are presented to validate the proposed control design.
The number of model-based approaches in modern engine control units (ECUs) increases permanently with the increase of engine complexity. Therefore the efficient storage and the fast computation of these models is a ch...
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