项目名称: 基于T-S模糊模型的复杂网络的控制及参数辨识研究
项目编号: No.61304022
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 自动化技术、计算机技术
项目作者: 张群娇
作者单位: 武汉纺织大学
项目金额: 24万元
中文摘要: 针对传统的控制方法要求受控对象有精确的数学模型和依赖较多的信息量这些局限性, 本项目拟基于T-S模糊理论,首先建立合理的模糊规则以及在相应模糊规则下的各类T-S模糊复杂网络模型;然后,分析一般时变的模糊复杂网络(连续和离散)达到稳定控制的充分性条件;进一步地探讨各种时滞分布情形下的模糊的延迟复杂网络的同步控制问题,并深入分析时滞分布的不同对实现网络同步的影响;最后,针对具有外部扰动或状态不完全可测的不确定复杂网络,重点研究这类网络达到同步的理论条件,并推导出一系列新的参数辨识准则。该项目基于T-S模糊控制理论研究复杂网络的同步控制问题,能克服众多已有结论分析过程中过多依赖准确的网络模型这一缺陷。其控制机理和策略易于接受与理解,控制计算量小、控制器设计简单,便于实际应用。同时,该项目的研究内容将推广目前复杂网络控制与同步的研究范畴,推动模糊控制理论在复杂网络领域中的广泛应用和交叉发展。
中文关键词: 复杂网络;控制;同步;参数识别;
英文摘要: In view of the limitations that the traditional control methods require accurate mathematical models and are dependent on more information of the controlled objects, based on the T-S fuzzy theory, this project firstly constructs various fuzzy criteria and some corresponding fuzzy complex network models under the T-S fuzzy rules, and then analyzes the sufficient conditions on the stable control of general time_varying fuzzy complex networks(continuous and discrete included). Further, it discusses the synchronization of delayed complex networks with different delay distributions, and deeply analyzes how the different distributions of time delays affect on the network synchronization. Finally, for the uncertain complex networks with external disturbance or immeasurable states, it focuses on investigating the theoretical conditions on the synchronization of this kind of networks and derives a series of new criteria for parameter identification. This project invesgates the problem on the synchronization and control of complex networks based on the fuzzy control theory, which can overcome the drawback that existing results are too dependent on the accurate network models.Its control mechanism and strategies are easy to be accepted and understood, moreover, it need a small amount of calculation, and the controllers
英文关键词: Complex network;Control;Synchronization;Parameter identification;