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  • 1.
    Fodor, George A.
    et al.
    ABB Automation Products AB, Vasterås; Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, USA.
    Grantner, Janos L.
    Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, USA.
    Driankov, Dimiter
    University of Linköping, Linköping.
    The implications of the object/unified modeling language approach to the problem of fault detection and isolation in dynamical systems1999In: Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design: August 22-27, 1999, Hapuna Beach Prince Hotel Kohala Coast-Island of Hawaii, Hawaii, USA, New York, USA: IEEE conference proceedings, 1999, p. 176-181Conference paper (Refereed)
    Abstract [en]

    There is a growing trend to use object-based implementations and modeling in industrial control applications. However, the object-based approach imposes new theoretical and practical problems. Those problems are due to a higher abstraction level that is achievable with objects as compared to the more traditional, state-based fault detection and isolation methods (FDI) approaches. This paper presents a description of the problems and solutions to them in the framework of a discrete FDI method referred to as ontological control. The results are also relevant in respect to domain-independent failure recovery methods... (Fodor et al., 1997)

  • 2.
    Fodor, George
    et al.
    ABB Industrial Systems AB, Västerås, Sweden.
    Grantner, Janos L.
    Western Michigan University, Department of Electrical and Computer Engineering, Kalamazoo, USA.
    Driankov, Dimiter
    Linköping University, Linköping, Sweden.
    Modeling the real-time recovery of complex control systems: A fuzzy approach1997In: 1997 IEEE International Conference on Systems, Man, and Cybernetics: Computational Cybernetics and Simulation (Volume:3), New York, USA: IEEE conference proceedings, 1997, p. 2163-2168Conference paper (Refereed)
    Abstract [en]

    This paper presents an approach to complex system recovery based on a fuzzy specification method. The method can be applied when controllers of different types and makes are connected in a common control architecture. The method allows a controller B to trigger a recovery operation on a controller A when B has the recovery specification of A. The approach has important potential applications in industry, e.g. as a possible complement to PLC standards such as IEC1131, and to the design of hybrid and complex control systems

  • 3.
    Grantner, Janos L.
    et al.
    Western Michigan University, Dept. of Electrical and Computer Engineering, USA.
    Fodor, George. A.
    ABB Automation Products AB, Västerås, Sweden; Western Michigan University, Dept. of Electrical and Computer Engineering, USA.
    Driankov, Dimiter
    Department of Information and Computer Science, University of Linköping, Linköping, Sweden.
    The virtual fuzzy state machine approach: a domain-independent fault detection and recovery method for object-based control systems1999In: Proceedings of the 18th International Conference of the North American  Fuzzy Information Processing Society (NAFIPS), IEEE conference proceedings, 1999, p. 158-162Conference paper (Refereed)
    Abstract [en]

    The current trend of using object based design for real time control systems has the implication that traditional state based fault detection and recovery methods cannot be used directly. This problem is even more difficult for domain independent fault detection and recovery since most such methods are based on a formal analysis of the global state set. The paper presents a domain independent fault isolation, detection and recovery method for object based control systems based on constraints of the object architecture. Variations of the control behavior from normal cases are detected using a fuzzy state machine approach

  • 4.
    Grantner, Janos L.
    et al.
    Western Michigan University, Department of Electrical and Computer, Kalamazoo, USA .
    Fodor, George
    ABB Industrial Systems AB, ISY/AMC, Västerås; Western Michigan University, Department of Electrical and Computer, Kalamazoo, USA .
    Driankov, Dimiter
    University of Linköping, Department of Information and Computer Science, Linköping.
    Using fuzzy logic for bounded recovery of autonomous agents1997In: 1997 Annual Meeting of the North American Fuzzy Information Processing Society: NAFIPS, New York, USA: IEEE conference proceedings, 1997, p. 317-322Conference paper (Refereed)
    Abstract [en]

    The solution to the problem of application-independent fault recovery of autonomous agents requires a specification method for the agent's capacity to act outside of its normal operational limits. This paper presents a recovery method based upon the theory of a fuzzy finite state machine. A fuzzy specification is given for the bounds within which an autonomous agent is capable to recover after an unexpected situation has occurred in its environment. It has been shown that the three main components of the recovery problem: fault detection, fault recovery, and the properties of the actuator/sensor gear of an autonomous agent are interrelated. The suggested method can be implemented either by an application-independent software algorithm, or by fuzzy logic hardware

  • 5.
    Grantner, J.L.
    et al.
    Western Michigan University, Kalamazoo, USA.
    Fodor, George
    George Fodor, Al3B Industrial Systems AB, ISY/AMC, Västerås.
    Driankov, Dimiter
    University of Linköping, Linköping.
    Hybrid fuzzy-Boolean automata for ontological controllers1998In: The 1998 IEEE International Conference on Fuzzy Systems Proceedings: IEEE World Congress on Computational Intelligence  (Volume:1), New York, USA: IEEE conference proceedings, 1998, p. 400-404Conference paper (Refereed)
    Abstract [en]

    This paper introduces a hybrid fuzzy-Boolean finite state machine (HFB FSM) model for ontological control. Ontological control is a novel type supervisory control that deals with the problems of error detection and recovery in complex control systems. The HFB FSM is used as a specification method for the problem of recovery when an autonomous control system encounters unexpected changes in its environment. The method allows a controller B (the ontological controller) to trigger a recovery operation on controller A when B has the recovery specification of A. The approach has important potential applications in industry

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