基于局部模糊逻辑系统合成的一类非线性不确定系统自适应控制

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.

Adaptive control for a class of nonlinear uncertain systems based on synthesis of local fuzzy systems

By employing the partition of unity subordinated to an open covering of the system state domain, firstly several
local fuzzy logic systems are synthesized to product a function approximator. Compared with the existing results, this
approximator possesses not only the property of universal approximation but also the language interpretability due to the
local fuzzy logic systems with fewer rules. Then, a time-varying parameter is introduced into the approximator to design
adaptive controllers for a class of nonlinear systems with uncertainties. Finally, simulations show the effectiveness of the
proposed method.