As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
针对一类基于模糊T-S模型的输入受限非线性系统提出了鲁棒模型预测控制。
A nonlinear predictive control algorithm based on fuzzy model was presented for a family of complex systems with severe nonlinearity such as of Proton exchange membrane fuel cell (PEMFC).
针对质子交换膜燃料电池(pemfc)等一类具有严重非线性的复杂被控对象，提出一种基于模糊模型的模糊预测算法，并对PEMFC系统进行建模。
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