Open AccessFault‐tolerant control of strict‐feedback non‐linear time‐delay systems with prescribed performance
Author(s) -
Yoo Sung Jin
Publication year - 2013
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2013.0252
Subject(s) - control theory (sociology) , fault tolerance , computer science , control (management) , output feedback , feedback control , control engineering , engineering , distributed computing , artificial intelligence
An approximation‐based adaptive fault‐tolerant (AFT) control problem is investigated for strict‐feedback non‐linear systems with unknown time‐delayed non‐linear faults. The error surfaces restricted by prescribed performance bounds are employed to guarantee the transient performance at the moment when faults with unknown occurrence time and magnitude occur. Based on the surfaces, we design a memoryless AFT control system where the function approximation technique using neural networks is applied to adaptively approximate unknown non‐linear effects and changes in model dynamics because of the time‐delayed faults. It is shown from Lyapunov stability theorem that the tracking error of the proposed control system is preserved within the prescribed performance bound and converges to an adjustable neighbourhood of the origin regardless of unknown time‐delayed non‐linear faults.