1) fuzzy Lyapunov function approach
模糊Lyapunov函数方法
1.
A new stability condition was proposed based on fuzzy Lyapunov function approach,and further,by using matrix transformation,it was converted to a set of linear matrix inequalities (LMIs),which is more relaxed.
考虑到系统状态不易测量,利用输出反馈设计模糊控制器;基于模糊Lyapunov函数方法提出一新的稳定性判别条件,利用矩阵变换把该条件转化为一组线性矩阵不等式(LMIs),该条件具有更大的宽松性。
2) fuzzy Lyapunov function
模糊Lyapunov函数
1.
Based on a more general continuous model of actuator failure,the sufficient condition for the existence of state-feedback guaranteed reliable controller is derived from using fuzzy Lyapunov function and linear matrix inequality(LMI) technique.
在更一般性的连续型执行器故障模型基础上,运用模糊Lyapunov函数和线性矩阵不等式(LMI)技术,推导出状态反馈保性能可靠控制器存在的充分条件,并给出了最优化可靠控制器设计的拟凸优化方法。
2.
The quadratic stability of fuzzy descriptor system is investigated based on the fuzzy Lyapunov function.
针对T-S模糊广义系统,基于模糊Lyapunov函数研究了其渐近稳定性问题。
3.
The original systems can be generalized to augmented systems,then some admissible conditions for fuzzy descriptor systems are obtained based on a new fuzzy Lyapunov function and new fuzzy controller.
首先将原系统表示成增广系统,进而基于新的模糊Lyapunov函数和模糊控制器得到容许性条件。
3) fuzzy Lyapunov method
模糊Lyapunov方法
1.
The stability analysis and fuzzy controller design problem of T-S continuous-time fuzzy system were discussed based on news fuzzy Lyapunov method.
研究了在新型的模糊Lyapunov方法下连续T-S模糊控制系统稳定性和模糊控制器设计问题,首先,得出了自由系统新的稳定性充分条件,这个条件具有更大的宽松性;然后基于一系列线性矩阵不等式设计了模糊控制器,这些矩阵不等式可以利用凸优化技术来进行解决。
4) fuzzy Lyapunov-Krasovskii function
模糊Lyapunov-Krasovskii函数
1.
The H∞ control problem of discrete T-S fuzzy systems with time-delay are studied via fuzzy Lyapunov-Krasovskii function.
研究了离散时滞T-S模糊系统基于模糊Lyapunov-Krasovskii函数的H∞控制问题。
2.
The stability analysis and controller design problem of discrete T-S fuzzy model with delay are studied via fuzzy Lyapunov-Krasovskii function.
研究了离散时滞T-S模糊模型基于模糊Lyapunov-Krasovskii函数的稳定性分析及控制器设计问题。
3.
Based on the fuzzy Lyapunov-Krasovskii function(LFK),a fuzzy controller is designed to acquire globally asymptotical stability for the discrete uncertain fuzzy time-delay system with the method of parallel distributed compensation(PDC).
基于模糊Lyapunov-Krasovskii函数,应用并行分布补偿算法,设计了使模糊系统全局渐近稳定的控制器,提出并证明了一个新的判别闭环不确定离散时滞模糊系统鲁棒H∞渐近稳定的充分条件。
5) Piecewise Fuzzy Lyapunov Function
分段模糊Lyapunov函数
1.
Analysis and Design of Fuzzy Systems Based on Piecewise Fuzzy Lyapunov Function;
基于分段模糊Lyapunov函数的模糊系统分析与设计
2.
Firstly, a new sufficient condition to check the stability of open-loop discrete T-S fuzzy systems is proposed after the definition of a discrete piecewise fuzzy Lyapunov function.
研究了基于分段模糊Lyapunov函数的离散T-S模糊控制系统稳定性分析及控制器设计问题。
6) Vector Lyapunov function method
向量Lyapunov函数方法
补充资料：模糊评价方法
模糊评价就是利用模糊数学的方法,对受到多个因素影响的事物,按照一定的评判标准,给出事物获得某个评语的可能性。将模糊评价方法用于信息系统效益评价,可以综合考虑影响信息系统的众多因素,根据各因素的重要程度和对它的评价结果,把原来的定性评价定量化, 较好地处理信息系统多因素、模糊性以及主观判断等问题。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条