In this paper, we propose a framework for real time monitoring and diagnosis of automated vehicles in an IVHS. The supervisory control methodology proposed here is concerned with fault detection, fault isolation, and control reconfiguration of the many sensors, actuators and controllers that are used in the control process. This supervisory control architecture operates at two levels of the AVC...

1 I n t r o d u c t i o n One of the well-estabilished approaches for controlling time-varying uncertain plants is the introduction of adaptation in the feedback loop [2]. However, converttional continuous adaptation is not always capable of performing satisfactorily mainly because of its inherent difficulty in taking advantage of prior knowledge of potential plant changes. This is particulartl...

based on the problems caused by today conventional vehicles, much attention has been put on the fuel cell vehicles researches. however, using a fuel cell system is not adequate alone in transportation applications, because the load power profile includes transient that is not compatible with the fuel cell dynamic. to resolve this problem, hybridization of the fuel cell and energy storage device...

In this paper, a robust local controller has been designed to balance the power for distributed energy resources (DERs) in an islanded microgrid. Three different DER types are considered in this study; photovoltaic systems, battery energy storage systems, and synchronous generators. Since DER dynamics are nonlinear and uncertain, which may destabilize the power system or decrease the performanc...

This paper deals with the design and evaluation of the performance of fuzzy predictive controller in supervisory mode for a solar-concentration-based power plant, with cylindrical-parabolic solar collectors. For the design of the controller, the inner control loops present in this solar platform are included in the model of the plant. That is, a control loop consisting of a PI plus a feed-forwa...

This paper presents the design of a hierarchical control system consisting of a model based centralized supervisory controller and a group of embedded controllers for a set of integrated biological reactors, which is a part of NASA’s advanced regenerative wastewater treatment system. A first principle model developed by [Zhang and Hoo, 2007] is used to design the centralized model predictive co...

In this paper we deal with the problem of designing a controller for a discrete event system. We argue that the classical approach of supervisory control theory (SCT) can be used as an essential step of such a procedure. However, some of the features that make supervisory control an attractive paradigm to solve theoretical problems are often a major source of difficulty in implementing a contro...

In this paper, a new reliable hierarchical model is suggested for a two-wagon train Networked Control System. Each wagon has a Controller that carries the control load and an Entertainment server that handles the entertainment. A supervisory controller runs on top of the two controllers and the two entertainment servers. Contrary to a similar model in the literature, the Supervisory node replac...

Abstmct We focus on the training scheme for the neural networks t o learn in the regions of unstable equilibrium states and the identification and the control using these networks. These can be achieved by introducing a supervisory controller during the learning period of the neural networks. The supervisory controller is derigned based on Lyapunov theory and it guarantees the bonndednese of th...

Heaps models are powerful models for concurrent timed discrete event systems. They admit linear description using dioid algebras. Inspired by supervisory control of logical discrete event systems we introduce parallel composition of heap models, called synchronous product, to formally describe the action of supervisor (represented by another heap model) on the system. This additional explicit c...