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Mean-Square Admissibility for Stochastic T-S Fuzzy Singular Systems Based on Extended Quadratic Lyapunov Function Approach
澳门新葡8455最新网站:2016年11月02日 17:06 点击数:

报告人:邢双云

报告地点:澳门新葡8455最新网站105室

报告澳门新葡8455最新网站:2016年11月10日星期四15:50-16:50

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报告摘要:

The mean-square admissibility problem of stochastic T-S fuzzy singular systems via an extended quadratic Lyapunov function is investigated in this paper. Comparing with the existing quadratic Lyapunov function method, the extended quadratic Lyapunov function method can relax stabilization conditions. Firstly, the sufficient condition is given for the mean-square admissibility of stochastic T-S fuzzy singular systems based on an extended quadratic Lyapunov function approach. Secondly, two sufficient conditions for mean-square admissibility of closed-loop systems via the parallel distributed compensation (PDC) fuzzy controller and non-parallel distributed compensation (non-PDC) fuzzy controller are proposed. Furthermore, through the extended quadratic Lyapunov function method and non-PDC fuzzy controller, the less conservative mean-square admissibility conditions on solving fuzzy controllers are derived in terms of linear matrix inequalities (LMIs). Finally, some simulation examples are given to show the effectiveness and merits of the proposed fuzzy controller design methodology.

主讲人概况:

邢双云,沈阳建筑大学理新葡京最新官网副教授,东北大学控制理论与控制工程方向博士。沈阳建筑大学硕士研究生导师。主要从事随机奇异系统分析与控制、模糊控制、最优控制等研究工作。主持辽宁省教育厅项目1项,校基金4项,作为主要参与人参与国家自然科学基金课题2项、国家科技支撑计划课题3项等。在国内外重要学术期刊和重要国际会议上公开发表学术论文20余篇,其中SCI论文3篇;EI论文7篇。参编教材1部,获得计算机App著作权1项。曾被评为“校先进工作个人”、“校优秀教师”等殊荣。

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