Robust H-infinity Adaptive Fuzzy Approach for Unknown Nonlinear Networked Systems

TL;DR

This paper introduces a robust H-infinity adaptive fuzzy control method for unknown nonlinear networked systems, effectively handling delays and information loss to ensure stability and improve control performance.

Contribution

It combines adaptive fuzzy control with H-infinity approach to address delays and information loss in networked systems, providing stability analysis and practical validation.

Findings

System stability maintained despite delays and information loss

Effective control demonstrated on inverted pendulum system

Method improves robustness of nonlinear networked control systems

Abstract

An H infinity adaptive fuzzy control design is proposed in this paper for unknown nonlinear networked systems. The main issues of networked systems are addressed here, which are the system delay and loss of information. In fact, the proposed method overcomes the delays by filtering the errors and also compensates the loss of system information. The adaptive fuzzy control design is combined in this work with H infinity control approach to approximate the system's unknown nonlinear functions. The stability analysis of the approach is also surveyed. The results revealed that the closed loop system stability is proved in existence of system disturbances, system delays and information loss. The proposed approach is applied on an inverted pendulum system to evaluate the method's efficiency and effectiveness.