The control of process such as CSTR reactor can be very difficult due to their highly nonlinear nature.
对于像CSTR化学反应器的控制，由于其过程本身的严重非线性而变得十分困难。
The second control method can drive the BZ-CSTR chaotic dynamics to a new status of dynamics which may not be the original embedded intrinsic orbits of the chaos.
第二种控制方案可以驱动BZ - CSTR混沌动力学到达一系列规则的动力学状态，这些动力学状态可能并不是混沌轨道中内嵌的本征轨道。
This paper presents a unified fault tolerant control approach for nonlinear systems based on a continuous stirred tank reactor (CSTR).
针对连续搅拌箱式反映器，提出一种闭环非线性系统容错控制的混合方法。
The precise model of the CSTR is not necessary for design of control system.
控制系统的设计不需要CSTR系统的精确模型。
The first control method is a kind of perturbation control and can stabilize the BZ-CSTR chemical chaos to its embedded unstable periodic orbits (UPO).
第一种控制方案是一种微扰控制，并能将BZ-CSTR化学混沌稳定控制到其内嵌的不稳定周期轨道（UPO）上去。
In this paper, a predictive control strategy based on neuro-fuzzy model is applied to Continuous Stirred Tank Reactor (CSTR) process, which has characteristic of highly nonlinearity.
针对具有高度非线性特性的连续搅拌反应釜(CSTR)控制过程，研究了基于神经模糊模型的预测控制策略。
In this paper, a predictive control strategy based on neuro-fuzzy model is applied to Continuous Stirred Tank Reactor (CSTR) process, which has characteristic of highly nonlinearity.
针对具有高度非线性特性的连续搅拌反应釜(CSTR)控制过程，研究了基于神经模糊模型的预测控制策略。
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