Objective: We develop a method for enabling human-like, flexible supervisory control via delegation to automation. Background: Real time supervisory relationships with automation are rarely as

Oil & Gas industry relies on automated, mission–critical equipment and complex systems built upon their interaction and cooperation. To assure continuous operation and avoid any supervision, architects embed Distributed Control Systems (DCS), a.k.a. Supervisory Control and Data Acquisition (SCADA) systems, on top of their equipment to generate data, monitor state and make critical online & offl...

Control and coordination is an important aspect of the development of complex machines due to an ever increasing demand for better functionality, quality, and performance. We develop a coordinator for maintenance procedures for a high-tech Océ printer that eliminates undesired behavior which stems from unrestricted interaction of its distributed components. To this end, we extend and employ a m...

Estimation of contact state is important to any multi-point interaction that involves frictional stick/slip phenomena. In particular, when there are more kinematic constraints than there are degrees of freedom, some contact interfaces must slip, leading to the need for contact state estimation. Fortunately, supervisory control techniques from adaptive control can be applied to this problem with...

This paper addresses the problem of implementing predictive controllers for supervisory level control systems. In this configuration the manipulated variables calculated by the Predictive Controller are used as command signals for the Distributed Control Systems, which provide references to the operator-tuned local PID controllers that act on the physical system. This structure introduces the p...

In this paper, a novel scheme of incorporating a learning mechanism into previous step supervisory controllers for adaptive fuzzy control is proposed to relax bounds required in the control process. In traditional supervisory adaptive fuzzy control approaches, the use of fuzzy estimators for approximating system functions and a robust supervisory control law are necessary to deal with any possi...