Disturbance Observer-Based Hysteretic Quantized Fuzzy Control for Nonlinear Parabolic PDE System

This paper investigates the disturbance observer-based hysteretic quantized fuzzy control for nonlinear parabolic partial differential equation (PDE) system with disturbances. The system contains two types of disturbances, one is bounded disturbance from outside, and the other is generated along with the control input and can be depicted by the ordinary differential equation (ODE). We initially adopt the Galerkin technique to separate the PDE system into fast subsystem and slow subsystem, and the slow subsystem can describe the main dynamics properties of the system. Then, we obtain a fuzzy system by the Takagi-Sugeno fuzzy technique. Next, we design the disturbance observer based on the external ODE system. On this basis, a hysteresis quantized controller is designed to be semi-globally uniformly ultimately bounded. Finally, a simulation example shows the effectiveness.

Authors

Institutions

Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865241
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disturbance Observer-Based Hysteretic Quantized Fuzzy Control for Nonlinear Parabolic PDE System

Yang He, Chuan Zhang, Xiaoyu Sun
Iterative Learning Control Systems
article

Disturbance Observer-Based Hysteretic Quantized Fuzzy Control for Nonlinear Parabolic PDE System

Yang He, Chuan Zhang, Xiaoyu Sun
article en

Abstract

This paper investigates the disturbance observer-based hysteretic quantized fuzzy control for nonlinear parabolic partial differential equation (PDE) system with disturbances. The system contains two types of disturbances, one is bounded disturbance from outside, and the other is generated along with the control input and can be depicted by the ordinary differential equation (ODE). We initially adopt the Galerkin technique to separate the PDE system into fast subsystem and slow subsystem, and the slow subsystem can describe the main dynamics properties of the system. Then, we obtain a fuzzy system by the Takagi-Sugeno fuzzy technique. Next, we design the disturbance observer based on the external ODE system. On this basis, a hysteresis quantized controller is designed to be semi-globally uniformly ultimately bounded. Finally, a simulation example shows the effectiveness.

Qufu Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 67%
Iterative Learning Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.