Automation Theory and Learning Systems

Comparative uncertainty: theory and automation

In the last decades, qualitative approaches to probabilistic uncertainty are receiving wider and wider attention. We propose a characterization of partial preference orders through an uniform axiomatic treatment of a variety of qualitative uncertainty notions. To this aim we prove a representation result that connects qualitative notions of partial uncertainty to their numerical counterparts. W...

A Theory of Sequential Resource Allocation Systems for Automation

The integrating role that is sought by automation in many contemporary applications frequently can be abstracted to the need for pertinent supervision of a function that allocates a finite set of reusable resources to a set of concurrently executing processes. This article formalizes the corresponding supervisory control problem, surveys the major results that are currently available for it, an...

A Systems Approach to Information Technology (IT) Infrastructure Design for Utility Management Automation Systems

Almost all of electric utility companies are planning to improve their management automation system, in order to meet the changing requirements of new liberalized energy market and to benefit from the innovations in information and communication technology (ICT or IT). Architectural design of the utility management automation (UMA) systems for their IT-enabling requires proper selection of ...

Adaptive and learning systems: Theory and applications

THIS VOLUME is a selection of 28 papers taken from the Fourth Yale Workshop on Applications of Adaptive Systems Theory held in May 1985 at Yale University. The Yale workshops on adaptive control were first organized in 1979. The period 1980-1985 is especially significant in adaptive system theory, for it was during this period of time that the major results in what is now called robust adaptive...

Control Systems, Robotics, And Automation