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PID controllers are popular in industrial applications, as they are easy to install and reasonably robust. However, for highly nonlinear systems, the performance of PID controllers can deteriorate quite fast. It is necessary to develop nonlinear PID controllers for controlling nonlinear processes. An approach to design these controllers is to switch between several linear PID controllers using fuzzy...
This paper investigates the failure prediction problem for multivariable and multi-failure-mode complex systems based on performance degradation. In our treatment, neural network is employed to simulate system performance degradation and to predict the health states of functional modules. BP network and Learning Vector Quantization (LVQ) network are used simultaneously to simulate and to predict future...
A direct neural interface system (NIS) promises to provide communication and independence to persons with paralysis by harnessing intact motor cortical signals to enable controlling prosthetic devices. An intracortical NIS aims to achieve this by sensing extracellular neuronal signals through chronically implanted microelectrodes and by decoding the spiking activity of neurons into prosthetic control...
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