Functional analysis and identification of separable nonlinear control systems using pseudorandom inputs
The analysis and identification of separable nonlinear single valued systems is carried out from a functional standpoint, by modifying the Volterra series to separate bias and steady state gain from dynamic effects. This analysis is applied to the development of generalised expressions for output bi...
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University of Surrey
1977
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.466087 |