Performance degradation due to interruptions is a critical issue, particularly when people are supervising highly autonomous systems in time and safety critical environments. Previous research in the development of automated support to help supervisory control operators resume task activities after an interruption has had limited success. This paper describes two new interruption recovery appro...

Traditionally batch control is one of the most difficult and complex control system for implementation since it includes basic regulatory as well as logic control operating under supervisory recipe-based sequential control. In order to enhance the reliability and reusability and to enable fast reconfiguration of batch plants, a new approach for sequential control at the supervisory level is pro...

In today’s competitive world, manufacturers have realized that they need to embrace automation as their mantra to success. However, the impact of automation primarily concerns with the effectiveness of process monitoring and control systems. There is a need for a closed loop supervisory system, which integrates and coordinates individual process modules for real-time adjustment, conflict resolu...

A new hybrid direct/indirect adaptive fuzzy neural network (FNN) controller with a state observer and supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The hybrid adaptive FNN controller, the free parameters of which can be tuned on-line by an observer-based output feedback control law and adaptive law, is a combination of direct and indirect ...

This paper describes research on control of heterogeneous information systems, which run as parallel interlinked processes. A formalized process control description language is proposed. It is a domain-specific language which provides opportunity to automate process execution control mechanism. The language separates two types of processes: base and supervisory processes. Supervisory processes ...

This article reports efforts to devise frameworks for quickly and easily characterizing 13 different supervisory control applications developed and tested by the international participants in a North Atlantic Treaty Organization working group on supervisory control of multiple uninhabited vehicles (UVs). Multiple prior frameworks for supervisory control are reviewed, and two novel ones (a more ...

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...

Behavioral models of human operators engaged in complex, time-critical high-risk domains, such as those typical in Human Supervisory Control (HSC) settings, are of great value because of the high cost of operator failure. We propose that Hidden Semi-Markov Models (HSMMs) can be employed to model behaviors of operators in HSC settings where there is some intermittent human interaction with a sys...

In the Model-Based Engineering (MBE) paradigm, models are the core elements in the design process of a system from its requirements to the actual implementation of the system. By means of Supervisory Control Theory (SCT), supervisory controllers (supervisors) can be synthesized instead of designing themmanually. In this paper, a framework based on the Compositional Interchange Format for hybrid...

In the Model-Based Engineering (MBE) paradigm, models are the core elements in the design process of a system from its requirements to the actual implementation of the system. By means of Supervisory Control Theory (SCT), supervisory controllers (supervisors) can be synthesized instead of designing themmanually. In this paper, a framework based on the Compositional Interchange Format for hybrid...