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中文摘要：
针对一类不确定非线性大系统提出了一种新的组合型自适应分散模糊滑模控制算法．借助模糊逻辑系统与滑模方法设计的控制器加权组合了间接与直接自适应两种模糊控制器，可以同时融合被控对象知识与控制知识两种模糊信息来提高自适应效果．在一类大系统框架下基于统一的格式提出了间接与直接自适应模糊控制设计方案，并进一步消除了现有各种相关控制算法的缺陷．闭环大系统被证明是一致渐近稳定的．该算法应用于自动公路系统车辆的跟随控制，仿真结果表明提出的组合型自适应模糊控制系统比通常间接或直接自适应模糊控制系统具有更好的跟踪性能．
英文摘要：
A novel combined adaptive decentralized fuzzy sliding mode control algorithm is presented for a class of large-scale uncertain nonlinear systems. By means of fuzzy logic systems and a sliding mode method, the designed controller is a weighted combination of both indirect and direct adaptive fuzzy controllers （IAFC and DAFC ） so that two kinds of fuzzy information, i.e. plant knowledge and control knowledge can be incorporated at the same time to raise adaptive effect. The indirect and direct adaptive fuzzy control design schemes are proposed in a united format under a large-scale system framework, which further overcomes the drawbacks of the existing relative control algorithms. The closed-loop large-scale system is proven to be uniformly asymptotically stable. The algorithm is applied to the following control of vehicles in an automated highway system and simulation results show the proposed combined adaptive fuzzy control systems display better tracking performance than typical indirect or direct adaptive ones.
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