Adaptive Reliable H-infinity Static Output Feedback Control Against Markovian Jumping Sensor Failures
Adaptive Reliable H-infinity Static Output Feedback Control Against Markovian Jumping Sensor Failures
复制标题
针对马尔可夫跳跃传感器故障的自适应可靠 H-无穷大静态输出反馈控制
DOI：
10.1109/tnnls.2016.2639290
复制
发表时间：
2018
影响因子：
10.4
通讯作者：
Zhang Qingling
中科院分区：
文献类型：
--
作者：
Zhai Ding;An Liwei;Ye Dan;Zhang Qingling
研究了具有随机传感器故障的连续时间线性系统的自适应H∞静态输出反馈控制问题。引入一个多马尔可夫变量来表示每个传感器的故障比例因子。与已有的结果不同，本文的失效参数是随机跳变的，其界是未知的。提出了一种自适应可靠H∞SOF控制方法，该方法通过自动更新控制器参数来补偿故障对系统的影响。提出了一种新的三次绝对李雅普诺夫函数，在传感器失效的情况下仅利用测量输出设计自适应律，并通过轨迹初始化方法保证了跳变自适应参数的收敛性。所设计的控制器能够保证闭环系统的渐近稳定性和自适应H∞性能，不受传感器故障的影响.最后以“猛禽-90”直升机为例进行了仿真，结果表明了所提方法的有效性。
This paper investigates the adaptive H∞static output feedback (SOF) control problem for continuous-time linear systems with stochastic sensor failures. A multi-Markovian variable is introduced to denote the failure scaling factors for each sensor. Different from the existing results, the failure parameters are stochastically jumping and their bounds of are unknown. An adaptive reliable H∞SOF control method is proposed, where the controller parameters are updated automatically to compensate for the failure effects on systems. A novel cubic absolute Lyapunov function is proposed to design adaptive laws only using measured output with sensor failures, and the convergence of jumping adaptive parameters is ensured by a trajectory initialization approach. The resultant designs can guarantee the asymptotic stability with an adaptive H∞performance of closed-loop systems regardless of sensor failures. Finally, the simulation results on the “Raptor-90” helicopter are given to show the effectiveness of the proposed approaches.