Now showing items 1-10 of 1150
Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
(Institute Of Electrical And Electronics Engineers, 2013-04)
The mutual coupling effect in a sensor array must be taken into account, since it degrades significantly the performance of the well-known signal direction finding algorithms. In this work, we derived the Cramér-Rao bound ...
A neural network approach for robust nonlinear parameter estimation in presence of unknown-but-bounded errors
(Elsevier B.V., 2000-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. This paper presents a ...
Bound States of Spinless Particles in a Short-Range Potential
(Walter De Gruyter Gmbh, 2015-04-01)
With a general mixing of vector and scalar couplings in a two-dimensional world, a short-range potential is used to explore certain features of the bound states of a spinless particle. Bound-state solutions are found in ...
Time-varying discrete-time linear systems with bounded rates of variation: Stability analysis and control design
(Pergamon-elsevier Science LtdOxfordInglaterra, 2009)
Bethe-Salpeter bound-state structure in Minkowski space
(Elsevier B.V., 2016-08-10)
The quantitative investigation of the scalar Bethe-Salpeter equation in Minkowski space, within the ladder-approximation framework, is extended to include the excited states. This study has been carried out for an interacting ...
Numerical analysis of leaving-face parameters in bound-constrained quadratic minimization
(Gordon Breach Publishing, Taylor & Francis GroupPhiladelphiaEUA, 2001)
H-infinity filtering for discrete-time linear systems with bounded time-varying parameters
(Elsevier Science BvAmsterdamHolanda, 2010)
A barrier method for constrained nonlinear optimization using a modified Hopfield network
The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel barrier method using artificial neural networks to solve robust parameter ...
A BMI approach for H-infinity gain scheduling of discrete time-varying systems
Fractional adaptive systems in the presence of bounded disturbances and parameter variations
This paper presents the analysis of fractional adaptive systems in the presence of bounded disturbances and parameter variations. Fractional adaptive systems are analyzed using the error model approach, to give generality ...