Fuzzy adaptive fixed-time control for output-constrained uncertain nonstrict-feedback time-delay systems

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-27 DOI:10.1016/j.jfranklin.2024.107302
Mojtaba Hosseini Toodeshki , Qijia Yao
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Abstract

This paper deals with the problem of fuzzy adaptive fixed-time control for a class of uncertain nonlinear nonstrict feedback systems with time delays and output constraints. The negative effects of time delays on system performance and stability are overcome by introducing a new Barrier Lyapunov–Krasovskii (BLK) function and an innovative inequality. In addition, the singularity problem that arises in the process of deriving the control and adaptive laws, is solved by the proposed BLK function. The controller is designed in the backstepping framework which ensures that the system output does not violate predefined constraints. The proposed controller needs less information from the system and therefore has less implementation complexity than previous references, which leads to a more straightforward implementation. A fuzzy system approximation is utilized to overcome the uncertainties of the model. It is guaranteed that all closed-loop system signals converge to small neighborhoods around zero in a fixed time. Finally, an example is presented to verify that the proposed method achieves the control objectives.
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输出受限不确定非严格反馈时延系统的模糊自适应固定时间控制
本文探讨了一类具有时间延迟和输出约束的不确定非线性非严格反馈系统的模糊自适应固定时间控制问题。通过引入新的障碍李亚普诺夫-克拉索夫斯基(BLK)函数和创新的不等式,克服了时间延迟对系统性能和稳定性的负面影响。此外,在推导控制和自适应定律的过程中出现的奇异性问题,也通过所提出的 BLK 函数得到了解决。控制器是在后步法框架下设计的,可确保系统输出不违反预定义的约束条件。与之前的参考文献相比,所提出的控制器需要的系统信息更少,因此执行复杂度更低,从而实现了更直接的执行。利用模糊系统近似来克服模型的不确定性。保证所有闭环系统信号都能在固定时间内收敛到零点附近的小邻域。最后,介绍了一个实例来验证所提出的方法是否实现了控制目标。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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