非完整系统
控制理论(社会学)
反推
积分器
国家(计算机科学)
自适应控制
李雅普诺夫函数
计算机科学
控制Lyapunov函数
控制(管理)
Lyapunov重新设计
非线性系统
机器人
移动机器人
物理
计算机网络
带宽(计算)
算法
人工智能
量子力学
作者
Zhongcai Zhang,Xueli Hu,Yang Gao,Xiaodan Hou
出处
期刊:Mathematics
[Multidisciplinary Digital Publishing Institute]
日期:2023-12-24
卷期号:12 (1): 59-59
被引量:1
摘要
In this paper, two systematic control design strategies are proposed for strict-feedback nonholonomic systems with full-state constraints to solve stabilization and adaptive stabilization problems. The stabilization schemes involve the introduction of state scaling, the barrier Lyapunov function (BLF), the integrator backstepping method, and the tuning function approach. In addition, a discontinuous switching control strategy is proposed to achieve the control goal if the first system state’s initial state is confined to zero. In both stabilization and adaptive stabilization control, the system states can be regulated at the origin, and meanwhile, the full-state constraints are realized. Finally, it is shown that the simulation results are consistent with the theory analysis results, which further demonstrates the effectiveness of the proposed control schemes.
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