Affiliation(s): 1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
2State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan 430200, China
3Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan 430200, China
4School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK
Yuanlong XIE1, Shuting WANG1, Liquan JIANG2,3, Hu LI1, Hao Wu1, Sheng-quan XIE4. Robust self-triggered switching control of autonomous ground vehicles with varying linear parameters[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2500327
@article{title="Robust self-triggered switching control of autonomous ground vehicles with varying linear parameters", author="Yuanlong XIE1, Shuting WANG1, Liquan JIANG2,3, Hu LI1, Hao Wu1, Sheng-quan XIE4", journal="Journal of Zhejiang University Science A", year="in press", publisher="Zhejiang University Press & Springer", doi="https://doi.org/10.1631/jzus.A2500327" }
%0 Journal Article %T Robust self-triggered switching control of autonomous ground vehicles with varying linear parameters %A Yuanlong XIE1 %A Shuting WANG1 %A Liquan JIANG2 %A 3 %A Hu LI1 %A Hao Wu1 %A Sheng-quan XIE4 %J Journal of Zhejiang University SCIENCE A %P %@ 1673-565X %D in press %I Zhejiang University Press & Springer doi="https://doi.org/10.1631/jzus.A2500327"
TY - JOUR T1 - Robust self-triggered switching control of autonomous ground vehicles with varying linear parameters A1 - Yuanlong XIE1 A1 - Shuting WANG1 A1 - Liquan JIANG2 A1 - 3 A1 - Hu LI1 A1 - Hao Wu1 A1 - Sheng-quan XIE4 J0 - Journal of Zhejiang University Science A SP - EP - %@ 1673-565X Y1 - in press PB - Zhejiang University Press & Springer ER - doi="https://doi.org/10.1631/jzus.A2500327"
Abstract: We propose a robust self-triggered switching control scheme for four-wheel-steering autonomous ground vehicles (FAGVs) to enhance tracking precision in the face of significant parameter variations. First, using the polytopic mechanism, the nonlinear dynamics of a FAGV are formulated as a switched linear parameter-varying system to accommodate parametric perturbations. With suitable dwell time, a novel self-triggered switching law is designed using energy density in terms of the tracking accuracy and system robustness; this satisfies the required control criteria while also preventing the Zeno phenomenon caused by traditional high-frequency switching. Through the application of multiple parameter-correlated Lyapunov functions, the resultant closed-loop system is ensured to be asymptotically stable with suitable auto-tuned gains. Finally, the efficacy and superiority of the proposed method are verified through experiments with a FAGV system.
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