The path following control system is obtained by a non-linear controller.
本文的路径跟踪控制系统由非线性控制器组成。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
According to the non-linear mapping relations between PID controller each control variable and error, design non-linear PID controller.
根据PID控制器各控制参数与偏差之间的非线性映射关系，设计非线性PID控制器。
On the basis, the position controller with a non-linear integrator combined with impulse signal is proposed.
在此基础上，提出了结合冲击信号的非线性积分器控制器。
Through analysis, we can find the controller has routine PID merit and works well in time delay or non - linear system, so it can be popularized and applied to the general industrial process.
分析发现，该控制器具有常规pid的优点，对于大纯滞后或非线性系统能够很好地工作，可以推广应用于一般工业过程。
The test results showed that fuzzy controller had a good performances and feasibility which applied to a time-varying non-linear large-inertial system of greenhouse environmental parameters.
试验结果表明：这种模糊控制器对于时变、非线性、大惯量的温室系统是可行的，并且在温室控制中取得了很好的控制效果。
According to its simulation results, this method has good adaptability when the controlled member contains non-linear elements or the controller member varies in a large range.
仿真结果表明：这种控制方法不仅对被控对象含有的非线性环节，以及被控对象参数在较大范围内的变化具有较好的适应能力。
Researching on the non-linear PID controller.
非线性PID悬浮控制方法研究。
The large phase Angle allowance design method for a first class new type non - linear controller and second optimal control system is presented.
提出一类新型非线性控制器和二次优化控制系统大相角裕量设计法。
Finally the design of a non linear suspension controller was presen.
针对悬浮系统的非线性特征，设计了一种非线性悬浮控制器。
Then, a new sufficient condition for the stability of open-loop system is proposed based on linear matrix inequality (LMI); and a fuzzy controller is designed via non-quadratic PDC control law.
然后，基于一系列线性矩阵不等式，得到了开环系统稳定的充分条件，进而又基于非二次PD C控制律，设计出了模糊控制器。
The major contributions of this dissertation were as follows:The problem of non-fragile H_2control for linear systems was concerned in the presence of controller gain variation.
主要研究内容包括：针对控制器增益存在加性控制器增益摄动，研究了线性连续系统的非脆弱状态反馈H_2控制问题。
On the basis of time-related change, delay and non-linear characters of flow, this paper proposes a kind of controller that is based on the combination of artificial nerve-network and fussy-control.
结合流量的时变、滞后和非线性特性，提出了一种基于人工神经网络与模糊控制相结合的控制器。
On the basis of time-related change, delay and non-linear characters of flow, this paper proposes a kind of controller that is based on the combination of artificial nerve-network and fussy-control.
结合流量的时变、滞后和非线性特性，提出了一种基于人工神经网络与模糊控制相结合的控制器。
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