The development of the discrete state space models for computer control and operation optimization of reheat furnaces is presented in this paper.
本文论述了一个应用于加热炉计算机控制和优化操作的离散状态空间模型的开发。
Firstly, the paper models the multivariable discrete state-space model of the air transmission unit by the lab method, using multi-dimensional inverse m series as input stimulus signal.
首先利用多维逆m序列作为激励输入信号，用实验法建立出空气传送部分的多变量离散状态空间模型。
The building of discrete state-space models including system noise provides a basis for the exact identification and effective control.
这种包含系统噪声的离散状态空间模型的建立，为网络化控制系统的准确辨识和有效控制奠定了基础。
Optimization controller for linear discrete-time state space model is designed.
设计出线性离散状态空间的最优控制器。
We consider asymptotic behaviors of stationary tail probabilities in the discrete time quasi-birth-and-death (QBD) process with a countable background state space.
考虑在可数背景状态下，时间离散的拟生灭过程(QBD过程)平稳分布的尾概率的渐近态。
First, based on fuzzy dynamic state space model, the fuzzy controller and observer are designed for the nonlinear discrete systems.
首先，论文完成了一大类非线性离散系统模糊控制器和观测器的设计。
In this paper, the model plant mismatch problem is classified and defined. An existed method of model plant mismatches assessment formulated in terms of discrete time state space model is introduced.
本文首先对模型失配问题进行了归类和定义，对一种已有的基于状态空间描述模型预测控制系统的模型失配评估方法进行了分析。
In this paper, the model plant mismatch problem is classified and defined. An existed method of model plant mismatches assessment formulated in terms of discrete time state space model is introduced.
本文首先对模型失配问题进行了归类和定义，对一种已有的基于状态空间描述模型预测控制系统的模型失配评估方法进行了分析。
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