Research on Finite-Time Control for a Class of Stochastic Nonholonomic Systems with Unknown Terms

本文针对一类具有未知时变控制系数及随机噪声干扰的不确定项的随机非完整系统,研究其有限时间稳定问题。根据系统的特性,分两阶段进行控制设计:首先基于Lyapunov理论为子系统设计保证子系统稳定的控制输入;其次,通过对系统进行坐标变换转换成新形式系统,并采用递归反推法最终设计出全局控制输入。最终设计出全局控制输入理论分析表明,闭环系统的稳定性可通过随机Lyapunov函数的负定性严格证明,且系统状态在有限时间内收敛至平衡点。This paper investigates the finite-time stabilization problem for a class of stochastic nonholonomic systems with unknown time-varying control coefficients and stochastic noise disturbances. Based on the system characteristics, a two-phase control design framework is proposed. First, a Lyapunov-based control input is designed for the -subsystem to ensure its stability. Subsequently, the original -system is transformed into a new structure -system via coordinate transformation, and a recursive backstepping approach is employed to synthesize the global control input . Theoretical analysis demonstrates that the closed-loop system’s stability can be rigorously proven through the negative definiteness of the stochastic Lyapunov function , ensuring probabilistic convergence of system states to the equilibrium point within a finite time. The proposed method effectively addresses uncertainties arising from time-varying control coefficients and stochastic disturbances, providing a systematic solution for finite-time stabilization of stochastic nonholonomic systems.

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Publication Details

Journal
Pure Mathematics
Published
2025-01-01
DOI
https://doi.org/10.12677/pm.2025.155155
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Finite-Time Control for a Class of Stochastic Nonholonomic Systems with Unknown Terms

茜茜 武
Pure Mathematics
Control and Dynamics of Mobile Robots
article

Research on Finite-Time Control for a Class of Stochastic Nonholonomic Systems with Unknown Terms

茜茜 武
article en

Abstract

本文针对一类具有未知时变控制系数及随机噪声干扰的不确定项的随机非完整系统,研究其有限时间稳定问题。根据系统的特性,分两阶段进行控制设计:首先基于Lyapunov理论为子系统设计保证子系统稳定的控制输入;其次,通过对系统进行坐标变换转换成新形式系统,并采用递归反推法最终设计出全局控制输入。最终设计出全局控制输入理论分析表明,闭环系统的稳定性可通过随机Lyapunov函数的负定性严格证明,且系统状态在有限时间内收敛至平衡点。This paper investigates the finite-time stabilization problem for a class of stochastic nonholonomic systems with unknown time-varying control coefficients and stochastic noise disturbances. Based on the system characteristics, a two-phase control design framework is proposed. First, a Lyapunov-based control input is designed for the -subsystem to ensure its stability. Subsequently, the original -system is transformed into a new structure -system via coordinate transformation, and a recursive backstepping approach is employed to synthesize the global control input . Theoretical analysis demonstrates that the closed-loop system’s stability can be rigorously proven through the negative definiteness of the stochastic Lyapunov function , ensuring probabilistic convergence of system states to the equilibrium point within a finite time. The proposed method effectively addresses uncertainties arising from time-varying control coefficients and stochastic disturbances, providing a systematic solution for finite-time stabilization of stochastic nonholonomic systems.

Pure MathematicsVol. 15(05)
Openalex Percentile: Top 88%
Control and Dynamics of Mobile Robots
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