Various system parameter variations occur during operations in several existing process industries. These result shifts, thus, requiring adequate control strategies to compensate for these alterations, which consequently maintain desired response. A paradigm is the coupled tank systems; such systems, level and flow of liquid must be adequately controlled reaction equilibrium as well avoid spill...

As the autonomous decentralized system (ADS) philosophy is meeting increasing acceptance by the system engineering community, the type and number of highly autonomous subsystems will grow rapidly. Standardization of the methods and protocols by which autonomous subsystems interconnect or interact among themselves is an important issue with respect to further enhancing the economic advantages of...

Taking advantage of lower foreign tax rates using transfer pricing and taking advantage of lower production costs using offshoring are two strategies that global companies use to increase their profitability. Evidence suggests that firms employ these strategies independently. We study how global firms can jointly leverage tax and cost differences through coordinated transfer pricing and offshor...

Large international collaborations that use decentralized computing models are becoming a custom rather than an exception in High Energy Physics. A good computing model for such big collaborations has to deal with the distribution of the experiment-specific software

In this paper, we compare the two research fields of grid computing and autonomous decentralized systems (ADS). We point out that these two fields are closely related at the basic research level, and have a lot to offer each other. A grid computing system can be viewed as an autonomous decentralized system in many aspects, and as such, it needs inputs from the ADS research community. At the sam...

We introduce a new concept called scalability to adaptive control in this paper. In particular, we analyze how to scale learning rates of adaptive weight update laws of various adaptive control schemes with respect to given command profiles to achieve a predictable closed-loop response. An illustrative numerical example is provided to demonstrate the proposed concept, which emphasize that it ca...

The asymptotic behavior of adaptive systems has been a well researched topic during the last couple of decades, and it is well known that asymptotic tracking can be achieved using the Lyapunov redesign method. However, the transient behavior of the input and output signals can be very oscillatory with significant excursions [1]. There has been a great deal of effort to modify the control archit...

Recent natural or man-made disasters around the world have provided compelling evidence that transportation system plays a crucial role in the emergency evacuation and have stressed the need for effective evacuation traffic management to maximize the utilization of the transportation system and to minimize fatalities and losses. This paper presents a model reference adaptive control (MRAC) fram...

The purpose of this paper is to present and analyze flight test results of a Long Term Learning Adaptive Flight Controller implemented on a rotorcraft and a fixed wing Unmanned Aerial Vehicle. The adaptive control architecture used is based on a proven Model Reference Adaptive Control (MRAC) architecture employing a Neural Network as the adaptive element. The method employed for training the Ne...