A Reference Model Architecture for Intelligent Hybrid Control Systems

Abstract The Real-time Control System (RCS) is an intelligent systems architecture that integrates continuous and discrete control concepts in a hierarchically layered net of hybrid control nodes, In each node, wscreteevents sequence tasks anda feedback loop is closed at a cycle rate much faster than the dynamics of the process being controlled. At successively lower levels in the hierarchy, the rate of events and the feedhack loop bandwidth increases by about an order of magnitude per level. RCS has been used in designing a numher of hyhrid control applications, most recently a four-axis machining center at the General Motors Powertrain plant in Pontiac, Michigan.

[1]  Marilyn Nashman,et al.  Visual Tracking for Autonomous Driving , 1993 .

[2]  R. Quintero,et al.  A software template approach to building complex large-scale intelligent control systems , 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

[3]  James S. Albus,et al.  Overview of the multiple autonomous underwater vehicles (MAUV) project , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[4]  Alex Meystel Autonomous Mobile Robots - Vehicles with Cognitive Control , 1991, Series in Automation.

[5]  Charles R. McLean,et al.  An Architecture for Real-Time Sensory-Interactive Control of Robots in a Manufacturing Facility , 1982 .

[6]  James S. Albus,et al.  A reference model architecture for intelligent systems design , 1993 .

[7]  James S. Albus,et al.  AN ARCHITECTURE FOR REAL-TIME SENSORY-INTERACTIVE CONTROL OF ROBOTS IN A MANUFACTURING FACILITY , 1982 .

[8]  John C. Fiala,et al.  The real-time control system of the Horizontal Workstation robot , 1987 .

[9]  Hui-Min Huang,et al.  A submarine maneuvering system demonstration based on the NIST real-time control system reference model , 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

[10]  James S. Albus,et al.  Outline for a theory of intelligence , 1991, IEEE Trans. Syst. Man Cybern..

[11]  James S. Albus,et al.  A Reference Model, Design Approach, and Development Illustration toward Hierarchical Real-Time System Control for Coal Mining Operations1 1This work is sponsored by the U. S. Bureau of Mines under Interagency Agreement (J0189027). , 1991 .

[12]  James S. Albus,et al.  Data Storage in the Cerebellar Model Articulation Controller (CMAC) , 1975 .

[13]  Keith A. Stouffer,et al.  ADACS-an automated system for part finishing , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.

[14]  John L. Michaloski,et al.  ADACS - An Automated System for Part Finishing | NIST , 1993 .

[15]  A. Meystel Nested hierarchical control , 1993 .

[16]  Karl Murphy,et al.  CAD Directed Robotic Deburring , 1988 .

[17]  Henry Schneiderman,et al.  A discriminating feature tracker for vision-based autonomous driving , 1994, IEEE Trans. Robotics Autom..

[18]  William G. Rippey,et al.  REFERENCE ARCHITECTURE FOR MACHINE CONTROL SYSTEMS INTEGRATION: INTERIM REPORT , 1994 .

[19]  S. Szabo,et al.  Control system architecture for a remotely operated unmanned land vehicle , 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

[20]  John L. Michaloski,et al.  Enhanced Machine Controller Architecture Overview | NIST , 1993 .

[21]  James S. Albus,et al.  NASA/NBS Standard Reference Model for Telerobot Control System Architecture (NASREM) , 1989 .

[22]  R.M. Dunn,et al.  Brains, behavior, and robotics , 1983, Proceedings of the IEEE.