Nonlinear robust H-infinity filtering for a class of uncertain systems via convex optimization |
| |
Authors: | Masoud ABBASZADEH and Horacio J MARQUEZ |
| |
Affiliation: | 1. United Technologies Research Center, East Hartford, CT 06108, U.S.A. 2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2V4 |
| |
Abstract: | A new approach for robust H-infinity filtering for a class of Lipschitz nonlinear systems with time-varying uncertainties both in the linear and nonlinear parts of the system is proposed in an LMI framework. The admissible Lipschitz constant of the system and the disturbance attenuation level are maximized simultaneously through convex multi-objective optimization. The resulting H-infinity filter guarantees asymptotic stability of the estimation error dynamics with exponential convergence and is robust against nonlinear additive uncertainty and time-varying parametric uncertainties. Explicit bounds on the nonlinear uncertainty are derived based on norm-wise and element-wise robustness analysis. |
| |
Keywords: | Nonlinear uncertain systems Robust observers Nonlinear H-infinity filtering Convex optimization |
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录! |
| 点击此处可从《控制理论与应用(英文版)》浏览原始摘要信息 |
|
点击此处可从《控制理论与应用(英文版)》下载全文 |