... The initial condition problem for fractional linear system initialisation is studied in this paper. It is based on the generalised initial value theorem. The new approach involves functions belonging to the space ...
... This paper revisited some existing block and multiparameter CG algorithms in the new con- text of multi-thread computing, proposing a cooperative conjugate gradient (CCG) method for linearsystems with ...
... In the previous sections the fractional linearsystems were studied in a formal way very close to the ordinary. Strangely the notion of fractional derivative was intro- duced but a formal defintion was not ...
... In the previous sections the fractional linearsystems were studied in a formal way very close to the ordinary. Strangely the notion of fractional derivative was intro- duced but a formal defintion was not ...
... order linearsystems and modular numbers ...a linear system was built from two successive elements where the principle diagonal elements are imposed for value one, and the other represents the image ...
... hybrid systems in [21]; and the interested reader is referred to the recent survey in [22] for further ...for linearsystems in order to quantify the impact of a given input on the state/output of ...
... Understanding the behavior of an infection network is typically addressed from either a microscopic or a macroscopic point-of-view. The trade-off is between following the individual states at some added complexity cost ...
... the linearsystems (1) simultaneously, where the coefficient matrices and right-hand sides are ...a linear operator to connect all the linearsystems (1) ...the linear operator ...
... The verified method for solving linearsystems of equations is based on the enclosure theory and uses an interval Newton-like iteration and Brouwer´s fixed point theorem. It is composed by the computation ...
... make linear control systems configurable by adding auxiliary species to CRN as control ...implementing linear control systems in biochemistry can be made more ...the linear system to be ...
... Another advantage of this neural structure (figure no.3) is that it allows the determination of the neural models of the component sub-systems. The suggested neural structure can estimate the internal variables of ...
... Propagate it through time using the uncertainty set defined for all the unknown signals in the model.. Final set represents all possible end values of the state/output.[r] ...
... Throughout the paper, we assume that A = I − L − U , where I is the identity matrix, −L and −U are strictly lower triangular and strictly upper triangular matrices of A, respectively. Then the iteration matrix of the AOR ...
... We applied the deflated GMRESDR method proposed by Morgan in [17] at the resolution of the linearsystems (7) and (8). The results were obtained using the program GMRESDR.m, kindly sent to us by R. Morgan ...
... a linear controller that achieves semi-global stabilization for null- controllable linearsystems using state ...a linear controller that achieves pole ...continuous-time linear system ...
... Fractal signals are introduced as output of special linear systems: fractional differaccumulators, systems that can be considered as having fractional poles or zeros.. [r] ...
... sparse linearsystems of equations in a parallel environment, since, unlike methods based on orthogonalization (such as Conjugate Gradient) it does not require computing computation-intensive inner products ...