...
首页> 外文期刊>Applied mathematics and computation >Multiple intermittent fault estimation and tolerant control for switched T-S fuzzy stochastic systems with multiple time-varying delays
【24h】

Multiple intermittent fault estimation and tolerant control for switched T-S fuzzy stochastic systems with multiple time-varying delays

机译:具有多个时变延迟的交换T-S模糊随机系统的多种间歇故障估计和耐受控制

获取原文
获取原文并翻译 | 示例

摘要

This paper focuses on the observer-based fault estimation (FE) and active dynamic output feedback controller design for switched Takagi-Sugeno (T-S) fuzzy Itostochastic systems against multiple time-varying delays as well as intermittent actuator faults and sensor faults. External disturbances are also considered. First, a novel descriptor sliding mode observer (SMO) is investigated to establish the error dynamics. Compared with the existing results, the proposed observer could be utilized to more cases and applied to a wider scope. Next, in light of the online FE information, a fault tolerant controller is suggested to make the closed-loop system mean-square exponentially stable. Furthermore, a novel piecewise fuzzy Lyapunov function is depicted and then the delay dependent sufficient conditions can be got by linear matrix inequalities (LMIs). The designed SMO has less conservatism than the existing ones. The reachability of the sliding mode surface in the estimation error space is assured under the adopted method. And the finite-time boundedness (FTB) issue is discussed. At last, a simulation example is acquired to validate the novelty and validity of the method proposed in the paper. (C) 2020 Elsevier Inc. All rights reserved.
机译:本文侧重于基于观察者的故障估计(FE)和主动动态输出反馈控制器设计,用于切换Takagi-Sugeno(T-S)模糊尖顶系统,用于多个时变延迟以及间歇执行器故障和传感器故障。还考虑了外部干扰。首先,研究了一种新颖的描述符滑动模式观察者(SMO)以建立错误动态。与现有结果相比,拟议的观察者可用于更多案例并适用于更广泛的范围。接下来,根据在线FE信息,建议容错控制器以使闭环系统均值稳定。此外,描绘了一种新颖的分段模糊Lyapunov功能,然后通过线性矩阵不等式(LMI)来获得延迟相关的充分条件。设计的SMO比现有的更保守主义。在估计误差空间中的滑动模式表面的可达性在采用的方法下得到了保证。讨论了有限时间限制(FTB)问题。最后,获取模拟示例以验证纸张中提出的方法的新颖性和有效性。 (c)2020 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号