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As the feed zones characteristic, take the linear interconnection of bottom pressure and flow rate.
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Linear interconnection and a class of input and output interconnections have been involved.
In [4], the global asymptotical stability and generalized synchronization of phase synchronous dynamical networks composed of multiinput multioutput pendulum-like systems via linear interconnections are investigated.
Social complexity concepts such as complex systems, non-linear interconnection among macro and micro process, and emergence, have entered the vocabulary of computational sociology.
First, a relationship between the rational Bezout equation and a combined serial/parallel interconnection of linear systems is established.
This class contains models described by an interconnection of known linear dynamic systems and unknown static nonlinearities.
Structured nonlinear system identification is a block oriented identification method for systems that can be described by the interconnection of known linear dynamic systems and unknown static nonlinearities.
The approach is to represent the observer error system as the feedback interconnection of a linear system and a state-dependent multivariable nonlinearity.
The approach is to represent the observer error system as the feedback interconnection of a linear system and a time-varying multivariable sector nonlinearity.
In this paper, we deal with event-triggered feedback control for Lur'e systems that consist of negative feedback interconnection of nominal linear dynamics and an unknown static nonlinearity.
This general model, which is the interconnection of a linear delayed dynamic system and a bounded static nonlinear operator, covers several well-known neural networks, such as Hopfield neural networks, cellular neural networks (CNNs), bidirectional associative memory (BAM) networks, and recurrent multilayer perceptrons (RMLPs) with or without delays.
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