In this research, using the Modified Compression Field Theory (MCFT), a new truss based model is proposed to predict the behavior of reinforced concrete coupling beams with diagonal reinforcement. The model is able to consider the effects of shear and axial forces and bending moment, simultaneously. The proposed model includes a nonlinear shear spring, an axial spring, two inclined truss member...

In this paper, we consider the problem of synthesizing online optimal flight controllers, in the presence of multiple objectives. The problem is cast as an adaptive Multi-Objective Optimization (MO-Op) flight control problem, in which a control policy is sought that attempt to optimize over multiple, sometimes conflicting objectives. A solution strategy utilizing Gaussian Process (GP) based ada...

in this paper, a nonlinear model of the underactuated six degrees of freedom (6 dof) quadrotor helicopter was derived based on the newton-euler formalism. a new nonlinear robust control strategy was proposed to solve the stabilizing and path following problems in presence of external disturbances and parametric uncertainties. the proposed control structure consist of a sliding mode control base...

This paper presents a nonlinear control strategy utilizing the linearization and input-output decoupling approach for a nonlinear dynamic model of proton exchange membrane fuel cells (PEMFCs). The multiple-input single-output (MISO) nonlinear model of the PEMFC is derived first. The dynamic model is then transformed into a multiple-input multiple-output (MIMO) square system by adding additional...

In this paper, we present a novel optimization-based method for the combination of cluster ensembles. The information among the ensemble is formulated in 0-1 bit strings. The suggested model de ̄nes a constrained nonlinear objective function, called fuzzy string objective function (FSOF), which maximizes the agreement between the ensemble members and minimizes the disagreement simultaneously. De...

This paper presents a novel deep learning architecture to classify structured objects in datasets with a large number of visually similar categories. Our model extends the CRF objective function to a nonlinear form, by factorizing the pairwise potential matrix, to learn neighboring-class embedding. The embedding and the classifier are jointly trained to optimize this highly nonlinear CRF object...

Jahanshahloo et al. (Appl Math Comput 153:215–224, 2004) propose a method for ranking extremely efficient decision making units (DMUs) in data envelopment analysis (DEA) using super-efficiency technique and l1-norm and they show that the presented method is able to eliminate the existing difficulties in some methods. This paper suggests an alternative transformation to convert the nonlinear mod...

Nowadays, software systems are complex and large. To cope with this situation, teams of developers have to cooperate and work in parallel on software models. Thus, techniques to support the collaborative development of models are a must. To this end, several approaches exist to identify the change operations applied in parallel, to detect conflicts among them, as well as to construct a merged m...

Duffing harmonic oscillator is a common model for nonlinear phenomena in science and engineering. This paper presents He´s Energy Balance Method (EBM) for solving nonlinear differential equations. Two strong nonlinear cases have been studied analytically. Analytical results of the EBM are compared with the solutions obtained by using He´s Frequency Amplitude Formulation (FAF) and numerical solu...

the most important issues that should be considered in studying disaster management include temporary settlement of injured population, supplying relief commodities, designing an appropriate communication infrastructure for communication during disaster. for this purpose, in this paper a model has been proposed for locating shelters, warehouses of relief commodities, and also telecom towers, wh...