Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the design of physically based control laws and, in particular, the fi...

This paper studies an n-player non-cooperative game where each player has expected-value payoff function and chance-constrained strategy set. We consider the case row vectors defining constraints are independent random whose probability distributions not completely known belong to a certain distributional uncertainty The sets defined using distributionally robust framework. one density based se...

The current paper presents a robust optimum design of friction stir welding (FSW) lap joint AA1100 aluminum alloy sheets using Monte Carlo simulation, NSGA-II and neural network. First, to find the relation between the inputs and outputs a perceptron neural network model was obtained. In this way, results of thirty friction stir welding tests are used for training and testing the neural network...

In this paper, we describe the vision system for the DeWaLoP (Developing Water Loss Prevention) robot. The robot working environment is inside a pipe (a cylinder), which fits perfectly to the vision system, based on omni-directional cameras. By unrolling the omni-directional camera image to a panoramic image, the circular features of the pipe become linear and by adding a line tracking algorith...

In this paper, a new approach is presented to fit arobust fuzzy regression model based on some fuzzy quantities. Inthis approach, we first introduce a new distance between two fuzzynumbers using the kernel function, and then, based on the leastsquares method, the parameters of fuzzy regression model isestimated. The proposed approach has a suitable performance to<b...

There are many real problems in which multiple responses should be optimized simultaneously by setting of process variables. One of the common approaches for optimization of multi-response problems is desirability function. In most real cases, there is a correlation structure between responses so ignoring the correlation may lead to mistake results. Hence, in this paper a robust approach based ...

BACKGROUND Individuals with unilateral lower limb amputation have a high risk of developing knee osteoarthritis (OA) in their intact limb as they age. This risk may be related to joint loading experienced earlier in life. We hypothesized that loading during walking would be greater in the intact limb of young US military service members with limb loss than in controls with no limb loss. METHO...

We introduce an algebraic modeling language, named ROME, for a class of robust optimizationproblems. ROME serves as an intermediate layer between the modeler and optimization solverengines, allowing modelers to express robust optimization problems in a mathematically meaningfulway. In this paper, we highlight key features of ROME which expediates the modeling and subsequentnumer...