Sentence examples for model of dynamical from inspiring English sources
The subsumption of the new theorems by the classical stability theorems serves as a model of dynamical subsumption, forming the basis of the design methodology.
A stable adaptive neural-network-based control scheme for dynamical systems is presented and a continuous recurrent neural network model of dynamical systems is constructed in this paper.
Based on the above-mentioned information and the immature Dengue vaccine, a delayed mathematical model of dynamical Dengue transmission between mosquitoes and humans, incorporating a control strategy of imperfect vaccination, is proposed in this paper, aiming to discuss the influences of vaccination and a maturation delay for controlling and eliminating the Dengue virus.
Given a model of dynamical elements and the wiring diagram among them, what can we conclude of the dynamics such as synchronization arising from the model?
The TT responses in left VLPFC (BA 45/46/47) in the present study further this set of observations by tying activity in this region to an explicit model of dynamical musical structure.
A linear state-space model of dynamical systems can be written as x (t + 1 ) = A x (t ) + B u (t ) + w y (t ) = C x (t ) + D u (t ) + v where x t) is the state vector, y(t) the output vector, and u(t) the input vector, all at time t; w and v are independent noise terms assumed to be white Gaussian with zero means and covariance Q and R, respectively.
System identification concerns the construction and validation of mathematical models of dynamical systems from experimental data.
Positive dynamical systems play an important role in the modeling of dynamical phenomena whose variables are restricted to be nonnegative.
In almost all fields of mechanical engineering, the mathematical models of dynamical systems become more and more computationally expensive.
The paper presents a general approach to fault detection and isolation based on symbolic models of dynamical systems.
A novel procedure is developed for the identification of linear discrete models of dynamical systems from noisy data.
