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...

We study the problem of adaptively stabilizing time-varying plants using supervisory control, which employs multiple controllers and a supervisory unit that orchestrates switching among the controllers. We show that for bounded disturbances and noise, all the closed-loop signals remain bounded provided that the plant varies slowly enough and the unmodeled dynamics are small enough. Slow variati...

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...

In a multimode industrial control system, mode switching decisions have to follow standard operating procedures which are set for the safety of system based on limitations equipment. A rich literature can be found monitoring systems. However, that work is mainly focused identification and anomalies in process running under each mode. Instead, we present data-driven method modes’ constraints. Th...

This paper focuses on supervisory fault tolerant control design for a class of systems with faults ranging over a finite cover. The proposed framework is based on a switched system approach, and relies on a supervisory switching within a family of pre-computed candidate controllers without individual fault detection and isolation schemes. Each fault set can be accommodated either by one candida...

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...

Supervisory control usually involves timely switching among different courses of action over multiple time scales. In this work, intelligent process supervision is addressed in the context of semi-Markov decision processes and reinforcement learning. Temporally extended actions that represent a way of behaving together with a termination condition are used to achieve a set of operational goals/...

In this paper, we integrate nonlinear control and supervisory control theory to design a controller of a heating, ventilating and air conditioning (HVAC) system. First we design the nonlinear controllers by Lyapunov theory and backstepping. Then we create the discrete abstraction of this system and thus derive the discrete event system model from the continuous plant. Finally we design the supe...