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Adaptive general type-2 fuzzy model-based control for nonlinear networked systems with packet dropouts.

Tarek R Khalifa1, Xian Yu2, Xiaopin Zhong3

  • 1College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518060, Guangdong, China; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, Guangdong, China; Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Menoufia, Egypt.

ISA Transactions
|February 22, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive general type-2 fuzzy model-based control (AGT2-FMBC) for networked control systems (NCSs) facing packet dropouts. The novel approach ensures system stability and optimal tracking performance despite communication uncertainties.

Keywords:
Adaptive controlFuzzy model-based controlGeneral type-2 fuzzy systemsNetworked control systemsPacket dropouts

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Area of Science:

  • Control Systems Engineering
  • Fuzzy Logic Systems
  • Networked Control Systems (NCSs)

Background:

  • Networked Control Systems (NCSs) are susceptible to performance degradation due to packet dropouts in communication channels.
  • Modeling uncertainties and nonlinearities in NCSs is crucial for effective control.
  • Existing control methods often struggle to maintain stability and performance under intermittent communication.

Purpose of the Study:

  • To propose a novel adaptive general type-2 fuzzy model-based control (AGT2-FMBC) for NCSs with packet dropouts.
  • To design a general type-2 fuzzy model (GT2FM) for online representation of nonlinear systems with uncertainties.
  • To develop an adaptive control algorithm ensuring stability and optimal tracking performance.

Main Methods:

  • A general type-2 fuzzy model (GT2FM) with general type-2 fuzzy sets and Takagi-Sugeno consequents was designed.
  • Packet dropouts were modeled using Bernoulli distribution, and buffers were implemented to mitigate their effects.
  • A general type-2 fuzzy controller (GT2FC) was developed using parallel distributed compensation and a direct defuzzification method.
  • Novel adaptive online laws were derived using the Lyapunov stability theorem.

Main Results:

  • The proposed AGT2-FMBC effectively handles packet dropouts in NCSs.
  • The GT2FM accurately represents nonlinear systems with online uncertainties.
  • The adaptive control laws ensure convergence and stability.
  • The controller demonstrated robustness in simulations on three nonlinear NCSs.

Conclusions:

  • The AGT2-FMBC provides a robust and effective solution for controlling nonlinear NCSs with packet dropouts.
  • The adaptive nature of the controller allows for online parameter tuning, enhancing performance.
  • The study validates the proposed method's efficacy through rigorous testing on benchmark nonlinear systems.