In this paper we present a generalization of the predictor corrector method of linear programming problem to semideenite linear programming problem. We consider a direction which, we show, belongs to a family of directions presented by Kojima, Shin-doh and Hara, and, one of the directions analyzed by Monteiro. We show that starting with the initial complementary slackness violation of t 0 , in ...

We propose a continuous linear multistep method of order six using interpolation and collocation of power series approximant. The derived implicit scheme was implemented in predictor corrector mode in which the predictors are developed using block method. The basic properties of the derived scheme were investigated. Our method was found to compare favourably with the existing method when tested...

This Paper shows the synthesis of Sliding Mode Controller using model predictive structure of the process. The Smith predictor architecture is combined with the Sliding mode control theory. Two different linear models, with deadtime, are simulated and the performance of the controller is evaluated.

Interior point methods have been widely used to determine the solution of large-scale linear programming problems. The predictor-corrector method stands out among all variations of interior point methods due to its efficiency and fast convergence. In each iteration it is necessary to solve two linear systems to determine the predictor-corrector direction. Solving such systems corresponds to the...

In this paper we present a new model predictive control system for the depth of hypnosis in general anesthesia. The is measured by Bispectral Index Scale signal and controlled through propofol administration. proposed scheme based on an external predictor that, exploiting Wiener structure pharmacokinetic/pharmacodynamic propofol, compensates process nonlinearity increases robustness means addit...

Responsemodelingmethodology (RMM) is a new approach for empiricalmodeling.ML estimation procedures for theRMMmodel are developed. For relationalmodeling, theRMMmodel is estimated in two phases. In the first phase, the structure of the linear predictor (LP) is determined and its parameters estimated. This is accomplished by combining canonical correlation analysis with linear regression analysis...

Cepstral analysis is effective in separating source from filter in vocal and monophonic [pitched] recordings, but is it a good general-purpose framework for working with music audio? We evaluate covariance in spectral features as an alternative to means and variances in cepstral features (particularly MFCCs) as summaries of frame-level features. We find that spectral covariance is more effectiv...

This paper explores the perceptions of employees of different ages regarding the flexibility they need at work (flexibility fit) and their engagement with work. Using 49,209 observations representing 183,454 employees in 22 different companies, we estimated a hierarchical linear model (HLM) to explain variation in employee engagement as a function of flexibility fit and age. Although flexibilit...