李雅普诺夫函数
参数化复杂度
数学
控制理论(社会学)
线性矩阵不等式
增益调度
凸优化
有界函数
控制器(灌溉)
基质(化学分析)
参数空间
线性系统
应用数学
正多边形
数学优化
非线性系统
计算机科学
数学分析
控制(管理)
组合数学
统计
物理
几何学
材料科学
量子力学
人工智能
农学
复合材料
生物
作者
Carlos E. de Souza,Alexandre Trofino
摘要
This paper deals with the problem of gain-scheduled ℋ︁2 control for linear parameter-varying systems. The system state–space model matrices are affinely parameterized and the admissible values of the parameters and their rate of variation are supposed to belong to a given convex bounded polyhedral domain. Based on a parameter-dependent Lyapunov function, a linear matrix inequality methodology is proposed for designing a gain-scheduled state feedback ℋ︁2 controller, where the feedback gain is a matrix fraction of polynomial matrices with quadratic dependence on the scheduling parameters. Copyright © 2005 John Wiley & Sons, Ltd.
科研通智能强力驱动
Strongly Powered by AbleSci AI