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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
(2001-01-01)
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 barrier method for constrained nonlinear optimization using a modified Hopfield network
(2001-01-01)
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 ...
Economic implications of nonlinear pricing kernels
(FGV EPGE, 2017-10)
Based on a family of discrepancy functions, we derive nonparametric stochastic discount factor bounds that naturally generalize variance, entropy, and higher-moment bounds. These bounds are especially useful to identify ...
A BMI approach for H-infinity gain scheduling of discrete time-varying systems
(Wiley-blackwellMaldenEUA, 2010)
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 ...
Fractional adaptive systems in the presence of bounded disturbances and parameter variations
(Wiley, 2017)
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 ...
Continuous families of Holder functions that are not of bounded variation
(Akademiai KiadoBudapestHungria, 2004)
Analytic perturbation theory for bound states in the transfer matrix spectrum of weakly correlated lattice ferromagnetic spin systems
(SPRINGERNEW YORK, 2012)
We consider general d-dimensional lattice ferromagnetic spin systems with nearest neighbor interactions in the high temperature region ('beta' << 1). Each model is characterized by a single site apriori spin distribution ...