Journal of Zhejiang University SCIENCE  A

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Robust self-triggered switching control of autonomous ground vehicles with varying linear parameters


Author(s):  Yuanlong XIE, Shuting WANG, Liquan JIANG, Hu LI, Hao WU, Sheng-quan XIE

Affiliation(s):  School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; more

Corresponding email(s):  lqjiang@wtu.edu.cn

Key Words:  Varying linear parameters; Autonomous ground vehicle; Switching controller; Zeno avoidance; Robust control


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Yuanlong XIE, Shuting WANG, Liquan JIANG, Hu LI, Hao WU, Sheng-quan XIE. 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

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doi="https://doi.org/10.1631/jzus.A2500327"
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%A Yuanlong XIE
%A Shuting WANG
%A Liquan JIANG
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%J Journal of Zhejiang University SCIENCE A
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A1 - Shuting WANG
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A1 - Hu LI
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A1 - Sheng-quan XIE
J0 - Journal of Zhejiang University Science A
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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 an 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 an FAGV system.

自主引导车辆线性参数时变系统的鲁棒自触发切换控制研究

作者:谢远龙1,王书亭1,蒋立泉2,3,李虎1,吴昊1,谢胜泉4
机构:1华中科技大学,机械科学与工程学院,中国武汉,430074;2武汉纺织大学,纺织新材料与先进加工全国重点实验室,中国武汉,430200;3武汉纺织大学,湖北省数字化纺织装备重点实验室,中国武汉,430200;4利兹大学,电子与电气工程学院,英国利兹,LS2 9JT
目的:四轮转向自主引导车辆(FAGV)在运行时,其动力学参数易受载荷变化、路面条件和工况等因素影响,导致轨迹跟踪精度下降甚至系统不稳定。本文旨在针对FAGV在存在大范围参数变化和多重扰动条件下的横向动力学控制问题,构建一种鲁棒的自触发切换控制方法,以实现高精度、强鲁棒性的轨迹跟踪控制。
创新点:1.将非线性动力学系统表示为切换线性参数时变(LPV)子系统集合,并提出一种基于多面体划分的LPV建模方法。2.在无需外部切换信号的情况下,提出一种基于能量密度的自触发切换机制。3.构建多参数相关的时变Lyapunov函数,并实现增益的在线调节。
方法:1.基于FAGV横向动力学特性,采用多面体方法对时变参数进行分析,并建立切换LPV动力学模型,为后续切换控制提供统一建模框架。2.以跟踪误差和系统鲁棒性为性能指标,引入能量密度函数,设计状态驱动的自触发切换律,并在切换条件中显式融合驻留时间约束,以抑制高频切换行为。3.利用多参数相关Lyapunov函数对切换LPV闭环系统进行稳定性分析,推导相应的控制器设计条件,并结合增益调节策略实现控制参数的在线自适应调节。4.通过工业FAGV平台开展实验验证,对比分析不同控制策略下的轨迹跟踪性能与系统稳定性,验证所提出方法在复杂工况下的有效性与优越性。
结论:1.采用切换LPV建模与控制策略能够更准确地建立系统动态特性,并显著提升轨迹跟踪精度。2.基于能量密度的自触发切换机制能够在保证控制性能的同时有效避免Zeno现象,提高了切换控制方法在实际工程中的可实现性和可靠性。3.多参数相关Lyapunov函数与在线增益调度策略的引入,确保了系统在整个切换过程中的渐近稳定性和鲁棒性;实验结果表明,该方法能够满足工业FAGV高精度轨迹跟踪控制的需求。

关键词组:适线性参数时变;自主引导车辆;切换控制器;Zeno回避;鲁棒控制

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]AbbasHS, 2024. Linear parameter-varying model predictive control for nonlinear systems using general polytopic tubes. Automatica, 160:111432.

[2]AregaTB, TesfaYM, AbdissaCM, 2025. Three-wheeled mobile robot trajectory tracking control using nonlinear pid controller based neural network combined with backstepping controller. IEEE Access, 13:100167-100182.

[3]CuiD, AhnCK, XiangZR, 2023. Fault-tolerant fuzzy observer-based fixed-time tracking control for nonlinear switched systems. IEEE Transactions on Fuzzy Systems, 31(12):4410-4420.

[4]DehghaniM, 2024. Decentralized stabilization of large-scale linear parameter varying systems. ISA Transactions, 148:336-348.

[5]DersehB, NegashL, AbdissaCM, 2023. Robust PSO tuned FOSMC for altitude stabilization and trajectory tracking of agricultural monitoring UAV. TechRxiv:24250348.

[6]DingSH, LiuL, ZhengWX, 2017. Sliding mode direct yaw-moment control design for in-wheel electric vehicles. IEEE Transactions on Industrial Electronics, 64(8):6752-6762.

[7]DiraraHG, YaresheFT, AbdissaCM, 2025. Design and analysis of adaptive fuzzy super-twisting sliding mode controller for uncertain 2-DOF robotic manipulator. IEEE Access, 13:110241-110254.

[8]EsmaeiliB, ModaresH, 2024. Risk-informed model-free safe control of linear parameter-varying systems. IEEE/CAA Journal of Automatica Sinica, 11(9):1918-1932.

[9]GuoJH, WangJY, LuoYG, et al., 2021. Takagi–Sugeno fuzzy-based robust H integrated lane-keeping and direct yaw moment controller of unmanned electric vehicles. IEEE/ASME Transactions on Mechatronics, 26(4):2151-2162.

[10]HuC, WangRR, YanFJ, 2016. Integral sliding mode-based composite nonlinear feedback control for path following of four-wheel independently actuated autonomous vehicles. IEEE Transactions on Transportation Electrification, 2(2):221-230.

[11]JiY, ZhangJZ, LvC, et al., 2023. Fault-tolerant vehicle stability control based on active steering and direct yaw moment with finite-time constraint performance recovery. IEEE Transactions on Vehicular Technology, 72(12):15317-15329.

[12]JiangLQ, WangST, XieYL, et al., 2022. Decoupled fractional supertwisting stabilization of interconnected mobile robot under harsh terrain conditions. IEEE Transactions on Industrial Electronics, 69(8):8178-8189.

[13]LiangJH, FengJW, LuYB, et al., 2024. A direct yaw moment control framework through robust T-S fuzzy approach considering vehicle stability margin. IEEE/ASME Transactions on Mechatronics, 29(1):166-178.

[14]LiuQ, LongLJ, 2022. Asymptotic stability with guaranteed safety for switched nonlinear systems: a multiple barrier functions method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(6):3581-3590.

[15]LuYB, LiangJH, ZhuangWC, et al., 2024. Four-wheel independent drive vehicle fault tolerant strategy using stochastic model predictive control with model parameter uncertainties. IEEE Transactions on Vehicular Technology, 73(3):3287-3299.

[16]MaL, MeiKQ, DingSH, 2023. Direct yaw-moment control design for in-wheel electric vehicle with composite terminal sliding mode. Nonlinear Dynamics, 111(18):17141-17156.

[17]MengJ, WangST, JiangLQ, et al., 2023. Accurate and efficient self-localization of agv relying on trusted area information in dynamic industrial scene. IEEE Transactions on Vehicular Technology, 72(6):7148-7159.

[18]Menyechel EneyewG, Ayalew AsfawW, Merga AbdissaC, 2025. Optimized backstepping fuzzy sliding mode controller for trajectory tracking of mobile manipulator. Engineering Reports, 7(7):e70269.

[19]MetekiaEW, AsfawWA, AbdissaCM, et al., 2025. Control of a fixed wing unmanned aerial vehicle using a robust fractional order controller. Scientific Reports, 15(1):19954.

[20]MohammedTK, AsfawWA, AbdissaCM, et al., 2025. Constrained robust adaptive control design for fixed wing UAV under parameter uncertainties and external disturbances. Engineering Research Express, 7(2):025254.

[21]NguyenMN, VanM, McilvannaS, et al., 2024. Model-free safety critical model predictive control for mobile robot in dynamic environments. IEEE Transactions on Intelligent Vehicles, 9(11):6830-6842.

[22]PengHN, WangWD, AnQ, et al., 2020. Path tracking and direct yaw moment coordinated control based on robust MPC with the finite time horizon for autonomous independent-drive vehicles. IEEE Transactions on Vehicular Technology, 69(6):6053-6066.

[23]QuS, HeTY, ZhuGG, 2020. Engine EGR valve modeling and switched LPV control considering nonlinear dry friction. IEEE/ASME Transactions on Mechatronics, 25(3):1668-1678.

[24]RotondoD, PonsartJC, TheilliolD, 2022. Gain-scheduled observer-based consensus for linear parameter varying multi-agent systems. Automatica, 135:109979.

[25]SouzaM, WirthFR, ShortenRN, 2017. A note on recursive schur complements, block Hurwitz stability of Metzler matrices, and related results. IEEE Transactions on Automatic Control, 62(8):4167-4172.

[26]VerhoekC, BerberichJ, HaesaertS, et al., 2024. Data-driven dissipativity analysis of linear parameter-varying systems. IEEE Transactions on Automatic Control, 69(12):8603-8616.

[27]VošahlíkD, HanišT, 2023. Traction control allocation employing vehicle motion feedback controller for four-wheel-independent-drive vehicle. IEEE Transactions on Intelligent Transportation Systems, 24(12):14570-14579.

[28]WangX, ZhaoJ, 2017. Autonomous switched control of load shifting robot manipulators. IEEE Transactions on Industrial Electronics, 64(9):7161-7170.

[29]XieYL, ZhangXL, ZhengSQ, et al., 2022. Asynchronous H continuous stabilization of mode-dependent switched mobile robot. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(11):6906-6920.

[30]YangZY, XuXH, WangX, et al., 2024. Optimal configuration for mobile robotic grinding of large complex components based on redundant parameters. IEEE Transactions on Industrial Electronics, 71(8):9287-9296.

[31]YaresheFT, MadeboNW, AbdissaCM, et al., 2025. Trajectory tracking of fixed-wing UAV using ANFIS-based sliding mode controller. IEEE Access, 13:61986-62003.

[32]ZengTY, MohammadA, MadrigalAG, et al., 2024. A robust human-robot collaborative control approach based on model predictive control. IEEE Transactions on Industrial Electronics, 71(7):7360-7369.

[33]ZhangB, ZhaoWZ, WangCY, et al., 2023. Layered time-delay robust control strategy for yaw stability of SbW vehicles. IEEE Transactions on Intelligent Vehicles, 8(7):3913-3924.

[34]ZhangJD, ZhangLP, LiuSS, et al., 2024. Cooperative control of active suspension and four-wheel steering for intelligent electric vehicles with corner module structure on severe roads. IEEE Transactions on Intelligent Vehicles, 9(12):7876-7884.

[35]ZhangS, PuigV, IfqirS, 2024. Robust LPV fault diagnosis using the set-based approach for autonomous ground vehicles. IEEE Transactions on Intelligent Transportation Systems, 25(8):9078-9090.

[36]ZhaoJP, YangGH, 2024. Fuzzy adaptive finite-time resilient control against unknown false data injection attacks for MIMO nonlinear switched systems with unknown dead zone. IEEE Transactions on Cybernetics, 54(1):586-598.

[37]ZhaoXQ, LiuZ, JiangBP, et al., 2023. Switched controller design for robotic manipulator via neural network-based sliding mode approach. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(2):561-565.

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On-line Access: 2026-05-26

Received: 2025-07-23

Revision Accepted: 2025-12-21

Crosschecked: 2026-05-26

Cited: 0

Clicked: 1307

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Liquan JIANG

https://orcid.org/0000-0002-7203-5953

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