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Linear interconnection and a class of input and output interconnections have been involved.
As the feed zones characteristic, take the linear interconnection of bottom pressure and flow rate.
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Based on the well-known describing function approach, it is shown in this paper that such limit cycles can be avoided as soon as H∞ constraints are simultaneously satisfied by appropriately chosen linear interconnections.
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.
The underlying idea of the proposed observer approach consists in designing the tubular reactor data-assimilation scheme so that the estimation error dynamics are given by a two-dissipative system interconnection: one linear distributed dynamical system with the convective and diffusive mechanisms, and one nonlinear lumped static system with the reaction kinetics.
It is also shown how the new methodology can produce improved results if interconnections have linear parts that are known a priori.
It takes inspiration from nature in exploring how systems can become less linear and more interconnected – where waste of one part of the ecosystem is input for another, and hence there is no need for wasteful emissions of any kind (whether gas, liquid or solid waste), as long as the right interconnections are in place.
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.
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