The paper deals with the supervisory control of a nonlinear uncertain system in which the switching is directed by the recently introduced state-dependent dwell-time switching logic. The proposed supervisory control architecture is shown to regulate to zero the state of the system without requiring the switching to stop in 4nite time. A signi4cant class of systems to which the control architect...

In today's competitive electric market, utilities are expected to provide highly reliable power supplies at the lowest possible cost. Distribution automation and remote control are recognized as ways for intelligently using appropriate technology to increase the reliability at reduced system operation cost, automated operations and service restoration can eliminate the need to send out the pers...

This paper aims to propose an efficient control algorithm for the mobile robot path control. A supervisory fuzzy-Gaussian-neural-network (SFGNN) controller is proposed. This controller includes a fuzzy-Gaussian-neural-network (FGNN) controller and a supervisory controller. The FGNN controller is constructed in a form of neural network with a Gaussian-type fuzzy membership function; and the para...

Recent literature has introduced and validated a signed real measure of regular languages for quantitative analysis and synthesis of discrete-event supervisory (DES) control systems, where all events are assumed to be observable. This paper presents a modification of the language measure for supervisory control under partial observation and shows how to generalize the analysis when some of the ...

A supervisory Adaptive Network‐based Fuzzy Inference System (SANFIS) is proposed for the empirical control of a mobile robot. This controller includes an ANFIS controller and a supervisory controller. The ANFIS controller is off‐line tuned by an adaptive fuzzy inference system, the supervisory controller is designed to compensate for the approximation error bet...

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...