The conditioning theory of the generalized inverse CA‡ is considered in this article. First, we introduce three kinds condition numbers for CA‡, i.e., normwise, mixed and componentwise ones, present their explicit expressions. Then, using intermediate result, which derivative can recover number expressions solution equality constrained indefinite least squares problem. Furthermore, augment syst...

In this paper, we present an implicit finite difference method for the numerical solution of Black–Scholes model American put options without dividend payments. We combine proposed by using a front-fixing approach where option price and early exercise boundary are computed simultaneously. study consistency prove stability fixing values free its first derivative. improve accuracy via mesh refine...

This study provides a new development regarding uncertainty and disturbance estimation (UDE) based on fixed-time sliding mode control (FTSMC) for the secure communication of electronic circuits in chaos-based system. Takagi-Sugeno (T-S) fuzzy systems were used to remodel chaotic with aim softening design synchronization The master slave system maintained formats. originality proposed estimator ...

Digitization has drastically lowered the costs of replicating and distributing music, enabling piracy on the demand side, as well as supply side re-use and recontextualization. This paper examines cumulative creativity and re-use through the release of derivative works in the popular music industry. Combining novel data on “digital sampling” and cover songs with a new proprietary Spotify data-s...

In this paper, a novel stator current based Model Reference Adaptive System (MRAS) estimator for speed estimation in the speed-sensorless vector controlled induction motor drives is presented. In the proposed MRAS estimator, measured stator current of the induction motor is considered as a reference model. The estimated stator current is produced in an adjustable model to compare with the measu...

In this paper an estimator for speech enhancement based on Laplacian Mixture Model has been proposed. The proposed method, estimates the complex DFT coefficients of clean speech from noisy speech using the MMSE  estimator, when the clean speech DFT coefficients are supposed mixture of Laplacians and the DFT coefficients of  noise are assumed zero-mean Gaussian distribution. Furthermore, the MMS...

Assuming a first-order auto-regressive model for the auto-correlation structure between observations, in this paper, a transformation method is first employed to eliminate the effect of auto-correlation. Then, a maximum likelihood estimator (MLE) of a step change in the parameters of the transformed model is derived and three separate EWMA control charts are used to monitor the parameters of th...

Sometimes the relationship between dependent and explanatory variable(s) known as profile is monitored. Simple linear profiles among the other types of profiles have been more considered due to their applications especially in calibration. There are some studies on the monitoring them when the observations within each profile are autocorrelated. On the other hand, estimating the change point le...

In this paper, the distributed fuzzy fault-tolerant tracking consensus problem of leader-follower multi-agent systems (MASs) is studied. The objective system includes actuator faults, mismatched parameter uncertainties, nonlinear functions, and exogenous disturbances under switching communication topologies. To solve problem, a controller proposed for each follower by adaptive mechanisms to tra...

in this article, we survey the asymptotic stability analysis of fractional differential systems with the prabhakar fractional derivatives. we present the stability regions for these types of fractional differential systems. a brief comparison with the stability aspects of fractional differential systems in the sense of riemann-liouville fractional derivatives is also given.