Spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. In this paper we consider daily averages of troposphere ozone over Tehran city. For eliminating the trend of data, a dynamic linear model is used, then some featu...

in this research optimal reconfiguration strategy of the improved srr reconfigurable mobile robot based on force-angle stability measure has been designed using genetic algorithm. path tracking nonlinear controller which keeps robot’s maximum stability has been designed and simulated in matlab. motion equations of the robot have been derived in parametric form by means of newton- euler, lagrang...

In this paper we combine features of dynamic-epistemic logics with the spatial logics in order to obtain a decidable, fully axiomatized logic for expressing information flow in distributed multi-agent systems. Thus, Dynamic Epistemic Spatial Logic is as an extension of Hennessy-Milner logic with spatial and epistemic operators.

Any interesting model of economic geography must involve a tension between “centripetal” forces that tend to produce agglomerations and “centrifugal” forces that tend to pull them apart. This paper explores one such model, and shows that the model links together a number of themes in the geography literature. These include: the role of market access, as measured by a measure of “market potentia...

Planning robot trajectory is a complex task that plays a significant role in design and application of robots in task space. The problem is formulated as a trajectory optimization problem which is fundamentally a constrained nonlinear optimization problem. Open-loop optimal control method is proposed as an approach for trajectory optimization of cable parallel manipulator for a given two-end-po...