Description
Book SynopsisLinear Systems: Non-Fragile Control and Filtering presents the latest research results and a systematic approach to designing non-fragile controllers and filters for linear systems. The authors combine the algebraic Riccati technique, the linear matrix inequality (LMI) technique, and the sensitivity analysis method to establish a set of new non-fragile (insensitive) control methods. This proposed method can optimize the closed-loop system performance and make the designed controllers or filters tolerant of coefficient variations in controller or filter gain matrices.
A Systematic Approach to Designing Non-Fragile Controllers and Filters for Linear Systems
The text begins with developments and main research methods in non-fragile control. It then systematically presents novel methods for non-fragile control and filtering of linear systems with respect to additive/multiplicative controller/filter gain uncertainties. The book intro
Table of Contents
Introduction. Preliminaries. Non-Fragile State Feedback Control with Norm-Bounded Gain Uncertainty. Non-Fragile Dynamic Output Feedback Control with Norm-Bounded Gain. Robust Non-Fragile Kalman Filtering with Norm-Bounded Gain Uncertainty. Non-Fragile Output Feedback Control with Interval-Bounded Coefficient Variations. Non-Fragile H∞ Filtering with Interval-Bounded Coefficient Variations. Insensitive H∞ Filtering of Continuous-Time Systems. Insensitive H∞ Filtering of Delta Operator Systems. Insensitive H∞ Output Tracking Control. Insensitive H∞ Dynamic Output Feedback Control. Bibliography. Index.
