Adaptive Event-Triggered Control for PDE-ODE Cascade Systems via Hierarchical Sliding Mode

This article considers adaptive hierarchical sliding mode control (HSMC) for hyperbolic partial differential equation (PDE)-ordinary differential equation (ODE) cascade systems. Unlike existing PDE-ODE cascade systems, the ODE subsystem studied in this paper involves unknown nonlinear functions and unknown gain functions, and thus fuzzy logic systems (FLSs) are introduced to approximate them. Meanwhile, a projection algorithm is proposed to ensure that the designed controller does not have singularity issues. Subsequently, with the aid of integration by parts and Volterra integral (VI) transformation, the original system is equivalently transformed into a new target one. For this target system, an adaptive fuzzy control approach based on hierarchical sliding mode (HSM) is developed. Compared with the commonly used backstepping method, this method simplifies the controller design steps while also eliminating the algebraic loop and “complexity explosion” issues. In addition, a triggering mechanism with a switching threshold is introduced to alleviate communication burden. Ultimately, the proposed control algorithm ensures that all signals including system states and actuator states are bounded, and this fact is verified through a Josephson junction circuit simulation.

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Institutions

Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2024-09-09
DOI
https://doi.org/10.1109/tcsi.2024.3446621
Citations
9
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
2.95

Funders

Controls
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article

Adaptive Event-Triggered Control for PDE-ODE Cascade Systems via Hierarchical Sliding Mode

Shanlin Liu, Xudong Zhao, Yingwei Zhang
9 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Advanced Control Systems Optimization
2.95
article

Adaptive Event-Triggered Control for PDE-ODE Cascade Systems via Hierarchical Sliding Mode

Shanlin Liu, Xudong Zhao, Yingwei Zhang
article en
9 citations

Abstract

This article considers adaptive hierarchical sliding mode control (HSMC) for hyperbolic partial differential equation (PDE)-ordinary differential equation (ODE) cascade systems. Unlike existing PDE-ODE cascade systems, the ODE subsystem studied in this paper involves unknown nonlinear functions and unknown gain functions, and thus fuzzy logic systems (FLSs) are introduced to approximate them. Meanwhile, a projection algorithm is proposed to ensure that the designed controller does not have singularity issues. Subsequently, with the aid of integration by parts and Volterra integral (VI) transformation, the original system is equivalently transformed into a new target one. For this target system, an adaptive fuzzy control approach based on hierarchical sliding mode (HSM) is developed. Compared with the commonly used backstepping method, this method simplifies the controller design steps while also eliminating the algebraic loop and “complexity explosion” issues. In addition, a triggering mechanism with a switching threshold is introduced to alleviate communication burden. Ultimately, the proposed control algorithm ensures that all signals including system states and actuator states are bounded, and this fact is verified through a Josephson junction circuit simulation.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(3)
Dalian University of Technology (CN), Dalian University (CN), Northeastern University (CN)
Liaoning Revitalization Talents Program
Affordable and clean energy
Openalex Percentile: Top 9%
Advanced Control Systems Optimization
2.95
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