Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

This study investigates the issue of adaptive fault-tolerant neural control in strict-feedback nonlinear systems. The system is subjected to actuator faults, dead-zone and saturation. To model the unknown functions, radial basis function neural networks (RBFNN) are employed. The proposed approach utilizes a backstepping technique to formulate an adaptive fault-tolerant controller, drawing upon the Lyapunov stability theory and the approximation capabilities of RBFNN. The resultant controller guarantees the boundedness of all signals in the closed-loop system, ensuring precise tracking of the reference signal by the system output with a small, bounded error. Finally, simulation results are provided to illustrate the efficacy of the proposed strategy in addressing actuator faults, dead-zone, and saturation.

OriginalspracheEnglisch
Aufsatznummer107471
ZeitschriftJournal of the Franklin Institute
Jahrgang362
Ausgabenummer2
Anzahl der Seiten21
ISSN0016-0032
DOIs
PublikationsstatusErschienen - 01.2025

Bibliographische Notiz

Publisher Copyright:
© 2024

DOI

Zuletzt angesehen

Publikationen

  1. Different complex word problems require different combinations of cognitive skills
  2. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  3. Control of the inverse pendulum based on sliding mode and model predictive control
  4. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  5. Latent structure perceptron with feature induction for unrestricted coreference resolution
  6. Selecting and Adapting Methods for Analysis and Design in Value-Sensitive Digital Social Innovation Projects: Toward Design Principles
  7. Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
  8. Problem structuring for transitions
  9. Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
  10. Spatial mislocalization as a consequence of sequential coding of stimuli
  11. DialogueMaps: Supporting interactive transdisciplinary dialogues with a web-based tool for multi-layer knowledge maps
  12. Real-time RDF extraction from unstructured data streams
  13. A Multivariate Method for Dynamic System Analysis
  14. On the Decoupling and Output Functional Controllability of Robotic Manipulation
  15. Analysis of long-term statistical data of cobalt flows in the EU
  16. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  17. FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs
  18. Retest effects in matrix test performance