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.
针对离散不确定模糊模型，提出了一种鲁棒非线性模型预测控制方法。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
进而通过建立预测模型，并结合广义预测控制的算法达到航向保持的目的，且具有较好的稳定性和鲁棒性。
A generalized predictive control algorithm is developed with the predictive model to realize the course maintenance with stability and robustness.
模型预测控制对模型精度要求不高，对模型失配、非最小相位系统、不确定干扰的影响具有较强的鲁棒性，具有较高的控制性能。
Model predictive control the accuracy of the model do not ask for much on the model mismatch, non-minimum phase systems, the impact of uncertain interference robustness, higher performance.
预测控制自上世纪70年代产生以来，因其对模型要求低、具有较强鲁棒性等特点，在生产过程中获得了广泛的应用。
Since 1970's, model predictive control (MPC), which has advantage of good robustness and easily modeling, has widely applied in the industry.
预测控制自上世纪70年代产生以来，因其对模型要求低、具有较强鲁棒性等特点，在生产过程中获得了广泛的应用。
Since 1970's, model predictive control (MPC), which has advantage of good robustness and easily modeling, has widely applied in the industry.
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