Friction is a nonlinear phenomenon which has destructive effects on performance of control systems. To obviate these effects, friction compensation is an effectual solution. In this paper, an adaptive technique is proposed in order to eliminate limit cycles as one of the undesired behaviors due to presence of friction in control systems which happen frequently. The proposed approach works for n...

In this paper, we introduce a model of an adaptive dynamical network by integrating the complex network model and adaptive technique. In this model, the adaptive updating laws for each vertex in the network depend only on the state information of its neighborhood, besides itself and external controllers. This suggests that an adaptive technique be added to a complex network without breaking its...

In a real-time system, tasks are constrained by global endto-end (E-T-E) deadlines. In order to cater for high task schedulability, these deadlines must be distributed over component tasks in an intelligent way. In this paper, we present an improved version of the slicing technique and extend it to heterogeneous distributed hard real-time systems. The salient feature of the new technique is tha...

A new adaptive trellis decoding technique for block codes is proposed. The technique is based on a recently introduced encoding technique which allows the design of almost all known linear codes together with their minimal trellises. The proposed adaptive trellis decoding technique allows t h e implementation of a single sof t maximum likelihood trellis decoder for decoding of different codes. ...

Background: The electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful.Objective: Removing electrocardiogram contamination from electromyogram signals.Methods: In this paper, the clean electromyogram signal, electrocardiogram artifact and e...

In bio-medical signals, removal of noises is one of the major issues. In recent years, adaptive filtering plays an efficient role in processing and analysis of biomedical signals. An adaptive filter allows to detect time varying potentials and to track out the dynamic variations of the signals and it modify their behavior according to the input. This paper focuses on the enhancement of adaptive...

Document image binarization is a vital pre-processing technique for document image analysis that segments text from badly degraded document images. In this paper, we propose a robust document image binarization technique that is based on the concept of adaptive image contrast. The adaptive image contrast which is formed by combining local image contrast and the local image gradient makes it tol...

in this study, detection and identification of common faults in industrial gas turbines is investigated. we propose a model-based robust fault detection(fd) method based on multiple models. for residual generation a bank of local linear neuro-fuzzy (llnf) models is used. moreover, in fault detection step, a passive approach based on adaptive threshold is employed. to achieve this purpose, the a...

using a simple quadratic model in the trust region subproblem, a new adaptive nonmonotone trust region method is proposed for solving unconstrained optimization problems. in our method, based on a slight modification of the proposed approach in (j. optim. theory appl. 158(2):626-635, 2013), a new scalar approximation of the hessian at the current point is provided. our new proposed method is eq...

An efficient technique is presented for obtaining dense stereo correspondence using a new adaptive Block Matching technique. First, one of the color stereo images (e.g., the left) is segmented into chromatic and achromatic regions using perceptual attributes in the HSI color space. Then the Block Matching technique is applied to the stereo images using adaptive similarity measures. The results ...