Low Dimensional Anti-Disturbance Fuzzy Control for 2-D Spatial Parabolic PDE Systems with Nonlinear ODE Exosystem via Fuzzy Disturbance Observer

A design method of low dimensional anti-disturbance fuzzy control via fuzzy disturbance observer (FDO) is proposed for a class of 2-dimensional (2-D) spatial nonlinear parabolic partial differential equation (PDE) systems with multiple time-domain disturbances including the disturbance modeled by the nonlinear ordinary differential equation (ODE) exosystem. First, the modal decomposition technique is applied to the PDE system to derive a low dimensional slow subsystem, which is subsequently approximated by a T-S fuzzy model. Next, a radial basis function (RBF) fuzzy system is employed and then an FDO is developed to estimate the modeled disturbance. Based on T-S fuzzy model and FDO, a low dimensional anti-disturbance fuzzy control method is developed to satisfy the uniformly ultimately boundedness (UUB). Finally, the effectiveness of the proposed design method is demonstrated on the control of a diffusion-reaction system.

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Published
2024-10-18
DOI
https://doi.org/10.1109/ntci64025.2024.10776500
Primary Topic
Textile materials and evaluations
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article
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article

Low Dimensional Anti-Disturbance Fuzzy Control for 2-D Spatial Parabolic PDE Systems with Nonlinear ODE Exosystem via Fuzzy Disturbance Observer

Hong‐Du Wang, Jinzhong Chen, Zhidong Han
Textile materials and evaluations
article

Low Dimensional Anti-Disturbance Fuzzy Control for 2-D Spatial Parabolic PDE Systems with Nonlinear ODE Exosystem via Fuzzy Disturbance Observer

Hong‐Du Wang, Jinzhong Chen, Zhidong Han
article en

Abstract

A design method of low dimensional anti-disturbance fuzzy control via fuzzy disturbance observer (FDO) is proposed for a class of 2-dimensional (2-D) spatial nonlinear parabolic partial differential equation (PDE) systems with multiple time-domain disturbances including the disturbance modeled by the nonlinear ordinary differential equation (ODE) exosystem. First, the modal decomposition technique is applied to the PDE system to derive a low dimensional slow subsystem, which is subsequently approximated by a T-S fuzzy model. Next, a radial basis function (RBF) fuzzy system is employed and then an FDO is developed to estimate the modeled disturbance. Based on T-S fuzzy model and FDO, a low dimensional anti-disturbance fuzzy control method is developed to satisfy the uniformly ultimately boundedness (UUB). Finally, the effectiveness of the proposed design method is demonstrated on the control of a diffusion-reaction system.

Ocean University of China (CN)
Affordable and clean energy
Openalex Percentile: Top 82%
Textile materials and evaluations
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Low Dimensional Anti-Disturbance Fuzzy Control for 2-D Spatial Parabolic PDE Systems with Nonlinear ODE Exosystem via Fuzzy Disturbance Observer — Hong‐Du Wang, Jinzhong Chen, et al. · (2024) | TGRS Research Map | TGRS