Robust Decentralized Adaptive Fuzzy Control of Large-Scale Nonaffine Nonlinear Systems With Strong Interconnection and Application to Automated Highway Systems
Robust Decentralized Adaptive Fuzzy Control of Large-Scale Nonaffine Nonlinear Systems With Strong Interconnection and Application to Automated Highway Systems
复制标题
强互连大规模非仿射非线性系统的鲁棒分散自适应模糊控制及其在自动化公路系统中的应用
DOI：
10.1002/asjc.1834
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发表时间：
2019
影响因子：
2.4
通讯作者：
Yi Shao Huang
中科院分区：
文献类型：
--
作者：
Zhengwu Wang;Yi Shao Huang
针对一类不确定非仿射非线性大系统，提出了一种新的分散自适应模糊控制器。结合模糊系统、隐函数定理和鲁棒控制技术的优点，将子系统间的关联关系推广到一般的未知非线性函数。Noa priorknowledge的下限和上限集中的不确定性，需要实现每个本地控制器。由此产生的闭环大系统被证明是渐近稳定的。控制器的设计是适用于自动化高速公路系统和仿真结果证实了其实用性。
A novel decentralized adaptive fuzzy controller is developed for a class of large‐scale uncertain nonaffine nonlinear systems in this paper. Incorporating the benefits of fuzzy systems, implicit function theorem, and robust control technique, the interconnections between subsystems are extended to general unknown nonlinear functions. Noa prioriknowledge of lower and upper bounds on lumped uncertainties is required to implement each local controller. The resulting closed‐loop large‐scale system is proved to be asymptotically stable. The controller design is applicable to an automated highway system and simulation results confirm its practical usefulness.