nonlinear static procedure (nsp) is a common technique to predict seismic demands on various building structures by subjecting a monotonically increasing horizontal loading (pushover) to the structure. therefore, the pushover analysis is an important part of each nsp. accordingly, the current paper aims at investigating the efficiencyof various algorithms of lateral load patterns applied to the...

an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  online training of neurolinearizer is compared to model predictive recurrent training...

in this article, we propose an adaptive grid based on mesh equidistribution principle for two-parameter convection-diffusion boundary value problems with continuous and discontinuous data. a numerical algorithm based on an upwind finite difference operator and an appropriate adaptive grid is constructed. truncation errors are derived for both continuous and discontinuous problems. parameter uni...

Abstract:  The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solv...

Nowadays, there is an increasing use of sampling methods in network and spatial populations. Although the most common link-tracing designs such as adaptive cluster sampling and snowball sampling have advantages over conventional sampling designs such as simple random sampling and cluster sampling, these designs still present many drawbacks. Adaptive web sampling is a new link-tracing design tha...

despite providing robustness, high-gain observers impose a peaking phenomenon, which may cause instability, on the system states. in this paper, an adaptive saturation is proposed to attenuate the undesirable mentioned phenomenon in high-gain observers. a real-valued and differentiable sigmoid function is considered as the saturating element whose parameters (height and slope) are adaptively tu...

it is difficult to develop an algorithm which is able to generate the appropriate mesh around the interfaces in bimaterials. in this study, a corresponding algorithm is proposed for this class of unified structures made from different materials with arbitrary shapes. the non-uniform mesh is generated adaptively based on advancing front technique available in abaqus software. implementing severa...

In this paper, we study the problem of power efficient tracking interval management for distributed target tracking wireless sensor networks (WSNs). We first analyze the performance of a distributed target tracking network with one moving object, using a quantitative mathematical analysis. We show that previously proposed algorithms are efficient only for constant average velocity objects howev...

micrornas (mirnas) are small preserved non-coding rna molecules that regulate gene expression post-transcriptionally by targeting the 3' utr of mrnas for translational repression or degradation. the rising evidence has established the significant role of mirnas within the regulation of immune system and the prevention of autoimmunity. mir-146a has obtained an importance as a modulator of d...