摘要：
The resource searching efficiency is the most important performance in the hybrid Peer-to-Peer (P2P) systems. In this paper, we give the effect factors of search efficiency and its optimization methods in the hybrid P2P systems based on the analysis of evaluation criterion of search mechanism in the P2P systems. Firstly, we present the evaluation criterion of search mechanism in the aspects of users and systems, as for users, including the number of results, accuracy rate and response time, and for systems including search efficiency, scalability and robustness. Furthermore, we analyze the effect factors of search efficiency such as the performance of superpeers, the load of superpeers, and the index information in the hybrid P2P systems, and give some optimization methods divided three classes: topological optimization in the superpeer layer, superpeers selecting and route selecting.
摘要：
In this paper, the design of a global state feedback controller is designed for a class of uncertain T-S fuzzy systems by means of parallel distributed compensator technique and linear matrix inequality technique. The pole of closed-loop system can be placed in a Pre-specified sector region so that the systems satisfy prescribed dynamic performance. At last the existent conditions of solution are expressed via LMI. So the feedback gain matrix can be obtained easily by solving the LMI. The example shows that the method is feasible and effective.
作者机构：
[秦岭; 李智] Department of Electrical and Information, Wuhan Polytechnic University, Wuhan 430023, China;[秦建华] School of Material Engineering, Wuhan Institute of Technology, Wuhan 430070, China
通讯机构：
[Li, Z.] D;Department of Electrical and Information, , Wuhan 430023, China
作者机构：
[常晓萍; 李智] Department of Electrical and Information Engineering, Wuhan Polytechnic University, Wuhan 430023, China;[秦建华] School of Mechanical Engineering, Wuhan Institute of Technology, Wuhan 430070, China
通讯机构：
Department of Electrical and Information Engineering, Wuhan Polytechnic University, China
作者机构：
[Sun, Jiangbo; Li, Zhi] Department of Electrical and Information Engineering, Wuhan Polytechnic University, Wuhan 430023, China;[Lou, Yigong] Carnegie Institution of Washington, United States
通讯机构：
Department of Electrical and Information Engineering, Wuhan Polytechnic University, China
作者机构：
[Chang, Xiao-Ping; Li, Zhi] Department of Electrical and Information, Wuhan Polytechnic University, Wuhan 430023, China;[Qin, Jian-Hua] School of Mechanical Engineering, Wuhan Institute of Technology, Wuhan 430070, China
通讯机构：
Department of Electrical and Information, Wuhan Polytechnic University, China
关键词：
Ant colony algorithms;Dynamic power system;Optimization design;Solar energy;Space station
摘要：
Solar energy dynamic power system plays a very important role in space station. Based on ant colony algorithms and working principle of the system, optimization simulation designs were made in order to minimize the launching mass of the system. Under the condition that all independent variables including import pressure, temperature and compression coefficient of compressor, numbers and diameter of heat exchangers, regenerating temperature of regenerator, height of recycling refrigerant, diameter and length of heat exchangers and rotating speed of energy converting unit satisfy the requirements of the whole system, the launching weight was minimized. The simulation results were improved by genetic modification and the improved results were better than results by ant colony algorithms and genetic algorithms.
作者机构：
[Qin, Jian-Hua] Department of Chemical Engineering, Wuhan Institute of Chemical Technology, Wuhan 430070, China;[Li, Zhi] Department of Electrical and Information Engineering, Wuhan Polytechnic University, Wuhan 430023, China;[Lou, Yi-Gong] Carnegie Institution of Washington, Stanford CA94305, United States
作者机构：
[Li, Zhi; Chang, Xiaoping] Wuhan Polytechnic University, Wuhan 430023, China;[Lou, Yigong] Carnegie Institution of Washington, Washington CA 94305, United States
