输入输出受限非线性系统的预测控制问题，可以看作是一个难以直接求解的约束非线性优化问题。
Predictive control algorithms for a multivariable nonlinear system with limited inputs and outputs can be formulated as a constrained nonlinear optimization problem which is hard to solve.
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。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
利用模糊T-S模型对一类输入受限的非线性时滞系统进行建模；
The problem of fuzzy modeling for a class of nonlinear time-delay systems with constraint inputs by fuzzy T-S model is addressed.
由于实际电力系统输入限幅、工作区域受限等因素的影响，采用神经网络逆系统方法对被控电力系统进行反馈线性化解耦后的复合系统并非理想的解耦线性系统。
As the system's controlling inputs and operating region are constrained in real power systems, the decoupled and linearized system derived by ANN inversion method is not an ideal one.
研究了控制输入受限情况下不确定系统的滑模控制问题，其中，系统不确定性同时存在于状态矩阵和控制增益矩阵中。
The problem of sliding mode control for uncertain systems subject to input constraint is considered. There exist uncertainties in state matrix and input matrix, respectively.
研究了控制输入受限情况下不确定系统的滑模控制问题，其中，系统不确定性同时存在于状态矩阵和控制增益矩阵中。
The problem of sliding mode control for uncertain systems subject to input constraint is considered. There exist uncertainties in state matrix and input matrix, respectively.
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