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. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  2. The Use of Factorization and Multimode Parametric Spectra in Estimating Frequency and Spectral Parameters of Signal
  3. Perfect anti-windup in output tracking scheme with preaction
  4. Control of the inverse pendulum based on sliding mode and model predictive control
  5. Enhancing Performance of Level System Modeling with Pseudo-Random Signals
  6. Using Complexity Metrics to Assess Silent Reading Fluency
  7. Continuous 3D scanning mode using servomotors instead of stepping motors in dynamic laser triangulation
  8. Digital Control of a Camless Engine Using Lyapunov Approach with Backward Euler Approximation
  9. Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods
  10. Using the flatness of DC-Drives to emulate a generator for a decoupled MPC using a geometric approach for motion control in Robotino
  11. Dynamic Lot Size Optimization with Reinforcement Learning
  12. On robustness properties in permanent magnet machine control by using decoupling controller
  13. Classical PI Controllers with Anti-Windup Techniques Applied on Level Systems
  14. A model predictive control in Robotino and its implementation using ROS system
  15. Introducing parametric uncertainty into a nonlinear friction model
  16. Stepwise-based optimizing approaches for arrangements of loudspeaker in multi-zone sound field reproduction
  17. A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control
  18. A localized boundary element method for the floating body problem
  19. Mapping interest rate projections using neural networks under cointegration
  20. The Influence of Note-taking on Mathematical Solution Processes while Working on Reality-Based Tasks
  21. Robust Flatness Based Control of an Electromagnetic Linear Actuator Using Adaptive PID Controller
  22. Gaussian processes for dispatching rule selection in production scheduling
  23. Performance analysis for loss systems with many subscribers and concurrent services
  24. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  25. A guided simulated annealing search for solving the pick-up and delivery problem with time windows and capacity constraints
  26. An analytical approach to evaluating bivariate functions of fuzzy numbers with one local extremum
  27. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  28. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
  29. Stability analysis of a linear model predictive control and its application in a water recovery process
  30. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  31. Data-Driven flood detection using neural networks
  32. Passive Peak Voltage Sensor for Multiple Sending Coils Inductive Power Transmission System
  33. A Gait Pattern Generator for Closed-Loop Position Control of a Soft Walking Robot
  34. A two-stage Kalman estimator for motion control using model predictive strategy
  35. A general structural property in wavelet packets for detecting oscillation and noise components in signal analysis
  36. A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations
  37. Simulation based comparison of safety-stock calculation methods
  38. Primary Side Circuit Design of a Multi-coil Inductive System for Powering Wireless Sensors
  39. Continuous and Discrete Concepts for Detecting Transport Barriers in the Planar Circular Restricted Three Body Problem
  40. Convolutional Neural Networks
  41. A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives
  42. Cognitive load and instructionally supported learning with provided and learner-generated visualizations
  43. Using cross-recurrence quantification analysis to compute similarity measures for time series of unequal length with applications to sleep stage analysis
  44. PI and Fuzzy Controllers for Non-Linear Systems
  45. Long-term memory predictors of adult language learning at the interface between syntactic form and meaning
  46. Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning
  47. Modeling and numerical simulation of multiscale behavior in polycrystals via extended crystal plasticity
  48. Transductive support vector machines for structured variables