Towards Diagnosing Hybrid Systems

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Towards Diagnosing Hybrid Systems +  Has identifier

Towards Diagnosing Hybrid Systems +  Ksl tr id

Towards Diagnosing Hybrid Systems

Bibtype  inproceedings

Has publishing details  February,1999

Has title  Towards Diagnosing Hybrid Systems

Has where published  Knowledge Systems, AI Laboratory

Has year  1999

Title  Towards Diagnosing Hybrid Systems

Year  1999

Abstract  This paper reports on the findings of an o This paper reports on the findings of an on-going project to investigate techniques to diagnose complex dynamic systems that are modeled as hybrid systems. In particular, we examine continuous systems with embedded supervisory controllers which experience abrupt,partial or full failure of component devices. The problem we address is: given a hybrid model of system behavior, a history of executed controller actions, and a history of observations, including an observation of behavior that is aberrant relative to the model of expected behavior, determine what fault occurred to have caused the aberrant behavior. Determining a diagnosis can be cast as a search problem. Unfortunately, the search space is extremely large. To reduce search space size and to identify an initial set of candidate diagnoses, we propose to extend techniques originally applied to qualitative diagnosis of continuous systems. We refine these diagnoses using parameter estimation and data fitting techniques. Asa motivating case study, we have examined the problem of diagnosing NASA's Sprint AERCam, a small spherical robotic camera unit with 12thrusters that enable both linear and rotational motion. enable both linear and rotational motion.

Note  Working Notes of the AAAI 1999 Spring Symposium on Hybrid Systems and AI, 1999.

Author  Sheila A. McIlraith and Gautam Biswas and Dan Clancy and Vineet Gupta +

Booktitle  Knowledge Systems, AI Laboratory +

Has author  Sheila A. McIlraith and Gautam Biswas and Dan Clancy and Vineet Gupta +

Has identifier  Towards Diagnosing Hybrid Systems +

Ksl tr id  Towards Diagnosing Hybrid Systems +

Month  February +

Process note  NO +

Categories  InProceedings +, KSL Technical Report +, Publication +

 

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