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通过使用从属于系统状态区域上开覆盖的单位分解,首先将若干个局部生成的模糊逻辑系统合成而产生一种函数逼近器,与通常的模糊逻辑系统相比较,这种逼近器不仅具有万能逼近性质,而且由于局部模糊逻辑系统具有较少规则而能够保持语言可解释性;然后,通过将适当的参数植入这种函数逼近器中,能够为某些非线性不确定系统设计自适应镇定控制器;最后,通过仿真例子验证了所提出方法的有效性.
By using the unit decomposition dependent on the overlay in the system state area, we first combine several locally generated fuzzy logic systems to produce a function approximator. Compared with the conventional fuzzy logic system, this approximation not only has the universal approximation Properties, and can maintain linguistic interpretability due to the fact that local fuzzy logic systems have fewer rules. Then adaptive imputation control can be designed for some nonlinear uncertain systems by imposing appropriate parameters on such function approximators Finally, the effectiveness of the proposed method is verified through simulation examples.