This paper presents the application of discrete event system in the field of power system. In power system there are various components which required control and coordination when they are in operation. The theory of discrete event system has been applied in the application part of power system. The discrete nature of ULTC and discrete switching behavior of SVC are best suited for the supervis...

The automation of complex industrial batch processes is a difficult problem due to the extremely nonlinear and variable system behavior or the conflicting goals within the different process phases. The introduction of a single multipleinput multiple-output controller (e.g. fuzzy logic (FL) controller) is not useful because of the rather high design effort and the low transparency of its complex...

The system of banking supervision in Europe is undergoing substantial reforms. According to Stigler’s capture theory regulation often follows the preferences of producers. Therefore, the interests of the financial industry might be a major driving force for the ongoing supervisory reform debate. This paper identifies possible interests of the regulated industries: Either they might favour stric...

Methods to combine speedup terms and supervisory concept injection are presented. The speedup is based upon iterative optimization of the convex divergence. The injection of supervisory information is realized by adding a term which reduces an additional cost for a specified concept. Since the convex divergence includes usual logarithmic information measures, its direct application gives faster...

This paper discusses recent results related to the approximation of optimal sensor selection and information sharing policies for the supervisory control of discrete-event systems. Although the framework of supervisory control is used, the results and methods contained herein are also applicable to fault diagnosis systems. It is shown how the problems of computing an optimal sensor selection is...

The goal of our control system is to improve the reliability, accuracy, and economy of operation of a sequence of interrelated processes. We achieve this task by using well known, rigorous statistical techniques to continuously monitor process parameters, detect out-of-control equipment, and then optimally adjust relevant machine inputs to bring the process back on target. We have implemented t...

Supervisory Controllers are Discrete Event Dynamic Systems (DEDSs) forming the discrete core of a Hybrid Control System. We address the problem of automatic synthesis of Optimal Finite State Supervisory Controllers (OSCs). We show that Boolean First Order Logic (BFOL) and Binary Decision Diagrams (BDDs) are an eeective meth-odological and practical framework for Optimal Finite State Supervisory...

The objective of this work is automatic labelling of characters in TV video and movies, given weak supervisory information provided by an aligned transcript. We make four contributions: (i) a new strategy for obtaining stronger supervisory information from aligned transcripts; (ii) an explicit model for classifying background characters, based on their face-tracks; and (iii) employing new ConvN...

This paper presents a supervisory generalized predictive control (GPC) by combining GPC with statistical process control (SPC) for the control of the thin film deposition process. In the supervised GPC, the deposition process is described as an ARMAX model for each production run and GPC is applied to the in situ thickness-sensing data for thickness control. Supervisory strategies, developed fr...

The object-oriented paradigm has been used extensively both in CASE tools for modeling and design of distributed real-time systems as well as in software tools for developing supervisory control systems. Supervisory tools are very useful in the context of real-time industrial automation systems. Recent researches prove that the use of object-orientation paradigm in the development of these syst...