Centre for Neuroscience is primarily dedicated to teaching and research in neuroscience including neural development, injury and repair, neural control systems, neuropharmacology, brain imaging, neuropathology, and virology, sensory neuropharmacology, membrane biology, genes and development, etc.
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Neural networks based control systems 基于神经网络控制系统
The analog neural controller can be applied in the control systems of robots.
该模拟神经控制器能应用于机器人控制系统中。
Neural Networks, an embranchment of nonlinear control which does not dependent on mathematic model, is adapt to controlled systems of uncertainties and highly nonlinear.
神经网络控制是非线性控制的一个分支，它基本上不依赖于系统的数学模型，比较适合于具有不确定性和高度非线性的被控对象。
A class of nonlinear neural network adaptive control systems is studied and a new design concept based on double errors was proposed in this paper.
本文研究一类非线性神经网络自适应控制系统，提出一种基于双误差——辨识误差和跟踪误差的新控制方案。
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