PMID- 38057170
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240222
IS  - 1879-2022 (Electronic)
IS  - 0019-0578 (Linking)
VI  - 145
DP  - 2024 Feb
TI  - Fixed-time command-filtered composite adaptive neural fault-tolerant control for 
      strict-feedback nonlinear systems.
PG  - 87-103
LID - S0019-0578(23)00535-9 [pii]
LID - 10.1016/j.isatra.2023.11.037 [doi]
AB  - The research investigates the fixed-time command-filtered composite adaptive 
      neural fault-tolerant (FCCANF) control issue of strict-feedback nonlinear systems 
      (SFNSs). There exist unknown functions and bounded disturbances in the considered 
      systems. Radial basis function neural networks (RBFNNs) will be used in the 
      estimate of the unknown functions. By the serial-parallel estimation models 
      (SPEMs), the forecast biases and the track biases can change the weights of 
      RBFNNs and the approximate characteristics of RBFNNs will be improved. Then, 
      utilizing the novel fixed-time command filter and adaptive disturbance observers, 
      the issue of complex explosion will be effectively solved and the external 
      disturbance is effectively compensated. Subsequently, by utilizing the adaptive 
      control technique, a novel FCCANF controller is developed. Additionally, we have 
      that the system internal variables are bounded and the output variable inclines 
      to a little interval around zero in fixed time which is not determined by the 
      system initial variables. Eventually, numerical and practical examples are shown 
      to prove the availability of the obtained control technique.
CI  - Copyright (c) 2023 ISA. Published by Elsevier Ltd. All rights reserved.
FAU - Liu, Siwen
AU  - Liu S
AD  - The Navigation College, Dalian Maritime University, Dalian 116026, China. 
      Electronic address: SiwenLiu0220@163.com.
FAU - Wang, Huanqing
AU  - Wang H
AD  - The school of Mathematical Sciences, Bohai University, Jinzhou 121000, China. 
      Electronic address: ndwhq@163.com.
FAU - Li, Tieshan
AU  - Li T
AD  - The Navigation College, Dalian Maritime University, Dalian 116026, China; The 
      school of Automation Engineering, University of Electronic Science and Technology 
      of China, Chengdu 611731, China; The Yangtze Delta Region Institute, University 
      of Electronic Science and Technology of China, Huzhou, 313000, China. Electronic 
      address: tieshanli@126.com.
LA  - eng
PT  - Journal Article
DEP - 20231125
PL  - United States
TA  - ISA Trans
JT  - ISA transactions
JID - 0374750
SB  - IM
OTO - NOTNLM
OT  - Backstepping
OT  - Command filter
OT  - Disturbance observer
OT  - Fault-tolerant control
OT  - Fixed-time control
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/12/07 00:42
MHDA- 2023/12/07 00:43
CRDT- 2023/12/06 21:58
PHST- 2022/11/13 00:00 [received]
PHST- 2023/10/09 00:00 [revised]
PHST- 2023/11/24 00:00 [accepted]
PHST- 2023/12/07 00:43 [medline]
PHST- 2023/12/07 00:42 [pubmed]
PHST- 2023/12/06 21:58 [entrez]
AID - S0019-0578(23)00535-9 [pii]
AID - 10.1016/j.isatra.2023.11.037 [doi]
PST - ppublish
SO  - ISA Trans. 2024 Feb;145:87-103. doi: 10.1016/j.isatra.2023.11.037. Epub 2023 Nov 
      25.