推导了基于远程预报辨识的非线性广义预测控制算法。
A nonlinear generalized predictive control algorithm based on a Hammerstein model with long range predictive identification is presented.
最后，将广义预测控制引入到舵减纵摇的研究中，探讨了基于状态空间的广义预测控制算法。
Finally, the algorithm of predictive control based on state space is studied by introducing the generalized predictive control into the research of anti-pitching for ship.
广义预测控制算法是一种新型的计算机控制方法，自从其出现后，受到了工业界和控制界的青睐。
Generalized predicative control (GPC) is a new computer control method, after it presented, it was got favor by industry and control area.
并着重研究了广义预测控制与自校正机制相结合的问题，提出了一种直接自校正广义预测控制算法。
The focus of research in this thesis is the combination of the self-tuning method and GPC. As a result of study, a new direct self-tuning GPC algorithm is proposed.
为了充分利用对象的可知信息以实现串联系统的最优控制，提出了串联系统的多前馈-反馈广义预测控制算法。
A multiple feed forward and feedback GPC algorithm for cascade system is developed to make full use of the knowable information of the plant so as to bring about the optimum control performance.
因此我们针对死区非线性特性，采用非线性逆函数的全局I/O线性化方法，提出了具有非线性补偿的广义预测控制算法。
So with the wide I/O linearization method of nonlinear reverse function, the generalized prediction control algorithm with dead area nonlinear compensation is suggested.
当前研究的目标是设计并实现一个基于神经网络广义预测控制的合适算法。
The objective of the current study is to design and implement a proper algorithm based on NN generalized predictive control (GPC).
基于多变量灰色系统模型，提出了一种MIMO系统的广义预测控制直接算法。
A direct generalized predictive control algorithm of MIMO systems based on multivariable grey model is presented.
本文中提出了基于ARMAX模型的新型广义预测控制，揭示了其控制策略与模型算法控制(MAC)之间的内在联系。
In this paper, a new type of generalized predictive control based on ARMAX model is proposed. The internal relations between the control strategy and model Algorithmic control (MAC) are revealed.
针对单弧度弯曲大变形无裂纹轴校直问题，根据广义预测控制理论，建立了多步校直行程预测算法。
However to the large deformation shaft without crack, general predictive theory has been applied to built up the multi-steps straightening stroke predictive algorithm.
仿真结果表明：采用广义预测控制并用预报误差代替一般的误差校正算法，液压弯辊板形控制系统精度和鲁棒性明显提高。
The simulation results show that the system precision and robust is greatly improved through generalized predictive control and output error compensation instead of error correction.
本文应用GPC（广义预测控制）算法实现对一阶惯性加纯滞后对象的控制。
This paper uses GPC (Generalized Predictive Control) algorithm to control a one-order inertia plant with time delay.
对广义预测控制的误差结构进行了深入的分析，并进而对gpc算法提出了改进，改进后的算法具有较强的鲁棒性。
In this paper, the error of the GPC is analysized and then its structure is realized. A modified algorithm with powerful robustness for GPC is presented.
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.
研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。
Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.
本文提出了两种改进算法：基于LM优化的神经网络广义预测控制和基于跳步预测的多网络并行广义预测控制。
Two improved algorithm were proposed: neural network generalized predictive control based on LM optimizer and multi parallel network generalized predictive control based on jump predictive.
控制律由最优广义预测控制(OGPC)算法和泛函连接网络(FLN)直接自适应律组成。
The control law consists of the optimal generalized predictive controller (OGPC) and the functional link network (FLN) direct adaptive law.
控制律由最优广义预测控制(OGPC)算法和泛函连接网络(FLN)直接自适应律组成。
The control law consists of the optimal generalized predictive controller (OGPC) and the functional link network (FLN) direct adaptive law.
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