We consider the output feedback stabilizability of networked controlsystems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback c...
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We consider the output feedback stabilizability of networked controlsystems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.
The stabilization problem of networked controlsystems with bounded packet loss is addressed. We model such networked controlsystems as a class of switched systems, and present sufficient conditions for the stabiliza...
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ISBN:
(纸本)9781424431236
The stabilization problem of networked controlsystems with bounded packet loss is addressed. We model such networked controlsystems as a class of switched systems, and present sufficient conditions for the stabilization by using a packet-loss dependent Lyapunov function. Moreover, different from existing results, we propose the design for packet-loss dependent stabilizing controllers for two types of packet-loss processes: one is a arbitrary packet-loss process, and the other is a Markovian packet-loss process. Several numerical examples and simulations are worked out to demonstrate the effectiveness of the proposed design technique.
The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulatio...
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The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulation of the designed controller based on MATLAB fuzzy logical toolbox is proposed. And the fuzzy controller is realized using freescale fuzzy inference machine. It is successfully applied in the automatic route tracking. The hardware design of the smartcar introduced. Then, the process of establishing the fuzzy controller is described in detail, including the choice of fuzzy input and output variables, linguistic values, domain, input and output membership functions, rule base, fuzzification, rule inference, defuzzification. The validity of the designed controller is verified by MATLAB simulation and actual operating results.
Since traditional methods was limited in terms of accuracy of the solutions and the processing time required when dealing with large-scale complex fault tree (CFT), a new method for CFT analysis based on Binary Decisi...
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Since traditional methods was limited in terms of accuracy of the solutions and the processing time required when dealing with large-scale complex fault tree (CFT), a new method for CFT analysis based on Binary decision Diagram (BDD) was introduced in this paper. Firstly, FT was decomposed by the proposed rule, Share-node CBDD connection rules were proposed to reduce the size of the intermediate BDD. Furthermore route-based BDD reduction rule was proposed and proved, with which intermediate BDD was reduction. The route sequence and cut sets can be gotten at the same time of BDD composition for FT analysis. Processing time and computational & storage complexity is greatly reduced by the proposed method. Finally, with an example the procedure of the proposed method is presented. The affectivity and practicability is also proved.
The paper first discusses the complexity of system and the necessity of complexity research. Aimed at a typical complex weapon equipment fire controlsystem, the paper carries on optimization design according to its c...
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The paper first discusses the complexity of system and the necessity of complexity research. Aimed at a typical complex weapon equipment fire controlsystem, the paper carries on optimization design according to its complexity. It proposes collectivity optimization assignment structure of complex weapon equipment system. The paper carries on deep research of accuracy assignment. The method combines the advantage of experience and model method and offsets their defects. Therefore, it solves the accuracy assignment of complex weapon system effectively and consummately.
In the high speed range, vector control of rotor flux orientation of an induction machine implements good performance. However, the performance in low speed rang deteriorates because of the inaccurate estimation of ro...
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The development of wind generation has rapidly progressed over the last decade, but it must be integrated into power grids and electric utility systems. However, it cannot be dispatched like conventional generators be...
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A new method and apparatus is proposed to improve the precision and reduce the cost of photoelectric encoder measurements. The method is based on highest resolution measurement and completely statistical analysis. The...
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A new method and apparatus is proposed to improve the precision and reduce the cost of photoelectric encoder measurements. The method is based on highest resolution measurement and completely statistical analysis. The system includes a stepping motor, a high precision worm reduction gear, a high speed single chip microcomputer, a low cost incremental optical electric encoder and some multi interfaces of communication protocols. The single chip microcomputer as the lower system can test and collect the optical electric encoder. The PC computer as host-computer can deal with the test data. The precision of the system can reach 18 binary digits. Results of application in practice showed that the method and apparatus is efficient and effective, the cost of the apparatus is less than the some kind of system.
Gather the information of the environment by the monocular vision. Using the H and S weight of the HSV color model, separate the target from the environment with a certain color, by a fast clustering algorithm for two...
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ISBN:
(纸本)7900719229
Gather the information of the environment by the monocular vision. Using the H and S weight of the HSV color model, separate the target from the environment with a certain color, by a fast clustering algorithm for two-value image segmentation. Calculating the distance between the camera and target by the 3D reconstruction algorithm and sub-control strategy, and raise its veracity by laser information fusion. Furthermore, a vision servo system has been designed and utilized to achieve the robot's dynamic track. At last, some experiments were used to certification its availability.
A Backlash neural network model is proposed for the systems with hysteresis nonlinearity. In order to approximate the hysteresis nonlinearity, Backlash-type operators are used as one layer of the neural network. Then,...
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A Backlash neural network model is proposed for the systems with hysteresis nonlinearity. In order to approximate the hysteresis nonlinearity, Backlash-type operators are used as one layer of the neural network. Then, the number of Backlash operators and neurons of hidden layer are gotten through simulation. Compared with the normal BP network, the results show the improvement validity of the proposed Backlash neural network model for describing the hysteresis nonlinearity.
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