Permanent magnet synchronous machine system is a nonlinear affine system.
永磁同步电动机系统是一类仿射非线性系统。
The problem of states estimate is converted into the one of extracting the differential and high orders differentials for nonlinear affine system.
对非线性仿射系统，将状态估计问题转化为微分和高阶微分提取问题。
A sampled-data control system approach is presented to a class of affine nonlinear networked control systems described by a hybrid dynamic system model.
利用采样数字控制系统的方法分析了一类混杂动态系统模型描述的仿射非线性网络控制系统的稳定性问题。
A novel indirect adaptive controller based on dynamic recurrent fuzzy neural network (DRFNN) is proposed for affine nonlinear system.
针对仿射非线性系统，提出了一种新型的基于动态递归模糊神经网络(DRFNN)的间接自适应控制器。
The interconnection and damping assignment passivity-based control (IDA-PBC) methodology is extended to solve the regulation problem of affine nonlinear differential algebraic system.
将连接与阻尼分配？无源控制方法进行从常微分方程到微分代数方程的拓展，求解一类仿射非线性微分代数系统的调节问题。
A non - affine nonlinear model for a single - machine infinite - bus system with static VAR compensator SVC is established.
对于含静止无功补偿器的单机无穷大系统建立了非仿射非线性模型。
The dynamic model is presented for the steady state operation point of six-effect countercurrent evaporation system. And then the model is converted to an affine nonlinear system.
为了研究蒸发过程的非线性控制，对六效逆流蒸发系统的稳态工作点附近建立了动态模型，并将模型转化为仿射非线性系统的形式。
The present nonlinear model reduction methods unfit for nonlinear benchmark buildings as their vibration equations belong to non-affine system.
非线性基准建筑物的振动方程属于非仿射系统，目前的非线性模型降阶方法不能采用。
On the basis of some hypotheses of the state variation of air, a general mathematical plant model is constructed. The model indicates that the system is an affine nonlinear system.
在对系统气体状态变化作一些合理假设的基础上，本文较为详细地推导出系统比较完整的数学模型。
A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed, which are implicit function with respect to control input.
针对一类多输入多输出非仿射非线性系统，基于神经网络设计了一种自适应控制方案。
A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed, which are implicit function with respect to control input.
针对一类多输入多输出非仿射非线性系统，基于神经网络设计了一种自适应控制方案。
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