控制理论(社会学)
反推
计算机科学
跟踪误差
趋同(经济学)
理论(学习稳定性)
非线性系统
模糊逻辑
模糊控制系统
控制器(灌溉)
自适应控制
数学优化
数学
控制(管理)
人工智能
机器学习
经济
物理
生物
量子力学
经济增长
农学
作者
Qian Wang,Jinde Cao,Heng Liu
标识
DOI:10.1109/tfuzz.2022.3169852
摘要
In this article, an adaptive fuzzy predefined time and accuracy tracking control scheme is proposed for strict-feedback nonlinear systems. A sufficient condition that can be used to determine whether the tracking error converges to a predefined region within a predefined time is first derived based on the definition of predefined time stability. Under the proposed stability criterion, an adaptive fuzzy controller is developed by applying the backstepping technique, and the stability time and convergence accuracy of the tracking error can be set previously, which facilitates the engineering application with requirements for convergence time and accuracy. Especially, to reduce chattering and decrease energy consumptions on the premise of ensuring the stability of the system, an inequality is introduced to construct a continuous term which can replace the sign function. Finally, a practical example is presented to illustrate the feasibility of main results.
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