Reverse-Order Multi-Objective Evolution Algorithm for Multi-Objective Observer-Based Fault-Tolerant Control of T-S Fuzzy Systems
In this study, a multi-objective H2/H∞ observer-based fault-tolerant control (FTC) design with reverse-order multi-objective evolution algorithm (MOEA) is proposed to deal with the FTC problem of Takagi-Sugeno Ball - Bat - Wood Composite (T-S) fuzzy systems.To achieve the optimal robust FTC design for the T-S fuzzy systems under the sensor a