On Robustness Analysis of Large-scale Transportation Networks

Scale-free Networks and Commercial Air Carrier Transportation in the United States

Network science, or the art of describing system structure, may be useful for the analysis and control of large, complex systems. For example, networks exhibiting scale-free structure have been found to be particularly well suited to deal with environmental uncertainty and large demand growth. Changes in the demand for air transportation are inevitable, and indeed seem to be upon us. The Nation...

Algebraic Connectivity Optimization of Large Scale and Directed Air Transportation Network

In transportation networks the robustness of a network regarding nodes and links failures is a key factor for its design. A common way to measure the robustness of a network is to evaluate its algebraic connectivity. In our previous work we formulated a new air transportation network model and showed the algebraic connectivity optimization problem is important because the two sub-problems of ad...

A Variable Structure Observer Based Control Design for a Class of Large scale MIMO Nonlinear Systems

This paper fully discusses how to design an observer based decentralized fuzzy adaptive controller for a class of large scale multivariable non-canonical nonlinear systems with unknown functions of subsystems’ states. On-line tuning mechanisms to adjust both the parameters of the direct adaptive controller and observer that guarantee the ultimately boundedness of both the tracking error and tha...

Decentralized Adaptive Control of Large-Scale Non-affine Nonlinear Time-Delay Systems Using Neural Networks

In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...

The application of DEA and queuing models to large scale computer networks

یک نگرش ترکیب سطوح برای تخمین ماتریس مبدأ و مقصد در شبکه‌های بزرگ مقیاس

Transportation problems are usually considered in large-scale networks, where finding the optimal solution of these problems is so time-consuming and costly. Therefore, a useful method to solve the large-scale network problems is dividing them into some smaller sub-problems. In this paper, for the first time, the origin-destination (o-d) matrix estimation problem is considered through a mixed p...