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Time delay appears in many realistic systems with feedback in science and engineering.
Time delay arises in many realistic systems with feedback in science and engineering.
It is worth noting that non-autonomous phenomena often occur in many realistic systems; for instance, when considering a long-term dynamical behavior of the system, the parameters of the system usually change along with time [18 22].
However, for many realistic systems, the number of reachable states is huge or even infinite and, in this case, numerical solution algorithms may not be applicable.
We adopt a network of Kuramoto phase oscillators, a useful model to display a large variety of synchronization patterns while being sufficiently exible to be adapted to many realistic systems [ 28].
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This paper is concerned with the issue of pinning synchronization of a general model of complex dynamical networks, which can well describe practical architectures of many realistic complex systems.
The set of non-linear equations to be solved for the Fourier coefficients can then be substantially reduced for many realistic large order mechanical systems.
Recently, the conjugate A-orthogonal residual squared (CORS) method is often competitive and superior to other Krylov subspace methods for solving complex non-Hermitian linear systems from many realistic problems.
Further, the implementation of ANFIS technique to match soft computing results with the analytic results makes our study to deal with complex dynamic behavior of the machining system in efficient computational manner by incorporating many realistic features.
The phase type model is flexible enough to comprise many realistic situations, and also manages to yield the explicit matrix representations of the system reliability measures.
So we do seem to have physically realistic systems that yield random behaviour without chance.
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many realistic choices
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many optical systems
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