反推
控制理论(社会学)
非线性系统
积分器
参数统计
自适应控制
趋同(经济学)
Lyapunov稳定性
计算机科学
严格反馈表
李雅普诺夫函数
班级(哲学)
理论(学习稳定性)
方案(数学)
控制(管理)
数学
人工智能
计算机网络
带宽(计算)
数学分析
经济
物理
机器学习
统计
量子力学
经济增长
作者
Vijay Kumar Singh,Shyam Kamal,Sandip Ghosh
摘要
Summary In this article, we address the problem of achieving predefined‐time control for a class of nonlinear dynamical systems with parameter uncertainties. We introduce an adaptive predefined‐time control algorithm based on integrator backstepping for th order nonlinear systems. Using Lyapunov's stability theory, we establish that the proposed predefined time control approach, combined with an adaptive law, ensures the boundedness of all signals within the closed‐loop system. A notable advantage of our method is its potential to achieve convergence within a predetermined time frame. To validate our approach's efficacy, we present a practical example involving a 2 DOF helicopter, demonstrating the effectiveness of the proposed scheme.
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