A partners choice algorithm is proposed based on cooperative multi-input multi-output(MIMO) transmission in energy-constrained sensor networks.
针对无线传感器网络高能效传输要求，提出了一种基于虚拟多输入多输出（MIMO）传输的协作中继节点选择算法。
A systematic procedure has been developed for the synthesis of robust regulatory control systems comprising multi-input multi-output controllers.
本文对于包含多输入多输出控制器的鲁棒控制系统作了系统化的研究。
This paper shows that, for a multi-input-multi-output system, a generalized input can be derived.
本文证明，对于多输入、多输出系统可以导得一广义输入量。
A tuning method for decentralized PID controllers was developed based on probabilistic robustness for use in multi-input-multi-output plants with varying parameters.
基于概率鲁棒方法，针对具有实参数不确定性的多输入多输出被控对象，提出一种分散PID控制器设计方法。
The design problem of reduced order state observer for a class of multi input multi output (MIMO) nonlinear time varying systems is studied in this paper.
研究一类多输入多输出(MIMO)非线性时变系统的降维状态观测器设计问题。
A comparative study of two decoupling control methods based on vector control and nonlinear multi-input-multi-output state-feedback based on theory of differential geometry is researched.
对异步电动机的矢量控制和基于微分几何理论的非线性多输入多输出状态反馈两种解耦控制方案作理论和试验比较研究。
For this generalized input, Nyquist criterion can be used to determine the stability of a multi-input-multi-output system as in a single-input system.
对于这一广义输入量，可以象单输入系统那样应用奈魁斯特准则来判别系统的稳定性。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
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