Observability and diagnosability of finite state systems: A unifying framework

نویسندگان

  • Elena De Santis
  • Maria Domenica Di Benedetto
چکیده

In this paper, a general framework is proposed for the analysis and characterization of observability and diagnosability of finite state systems. Observability corresponds to the reconstruction of the system’s discrete state, while diagnosability corresponds to the possibility of determining the past occurrence of some particular states, for example faulty states. A unifying framework is proposed where observability and diagnosability properties are defined with respect to a critical set, i.e. a set of discrete states representing a set of faults, or more generally a set of interest. These properties are characterized and the involved conditions provide an estimation of the delay required for the detection of a critical state, of the precision of the delay estimation and of the duration of a possible initial transient where the diagnosis is not possible or not required. Our framework makes it possible to precisely compare some of the observabllity and diagnosability notions existing in the literature with the ones introduced in our paper, and this comparison is presented.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Rcd Rules and Power Systems Observability

Power system state estimation is a process to find the bus voltage magnitudes and phase angles at every bus based on a given measurement set. The state estimation convergency is related to the sufficiency of the measurement set. Observability analysis actually tests this kind of problem and guarantees the state estimation accuracy. A new and useful algorithm is proposed and applied in this pape...

متن کامل

ON CONTROLLABILITY AND OBSERVABILITY OF FUZZY CONTROL SYSTEMS

In order to more effectively cope with the real world problems of vagueness, imprecise and subjectivity, fuzzy event systems were proposed recently. In this paper, we investigate the controllability and the observability property of two systems that one of them has fuzzy variables and the other one has fuzzy coefficients and fuzzy variables (fully fuzzy system). Also, sufficient conditions for ...

متن کامل

Symbolic Synthesis of Observability Requirements for Diagnosability

Given a partially observable dynamic system and a diagnoser observing its evolution over time, diagnosability analysis formally verifies (at design time) if the diagnosis system will be able to infer (at runtime) the required information on the hidden part of the dynamic state. Diagnosability directly depends on the availability of observations, and can be guaranteed by different sets of sensor...

متن کامل

Diagnosability Analysis of Multi-Station Manufacturing Processes

Variation propagation in a multi-station manufacturing process (MMP) is described by the theory of ‘‘Stream of Variation.’’ Given that the measurements are obtained via certain sensor distribution scheme, the problem of whether the stream of variation of an MMP is diagnosable is of great interest to both academia and industry. We present a comprehensive study of the diagnosability of MMPs in th...

متن کامل

A Jointree Algorithm for Diagnosability and its Application to the Verification of Distributed Software Systems∗

Diagnosability is an essential property that determines how accurate any diagnostic reasoning can be on a system. While diagnosability in a discrete event system can be decided by synchronising finite state machines representing ambiguous paths in individual subsystems, this synchronisation operation remains prohibitively complex. We propose a novel algorithm that exploits structure and localit...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Automatica

دوره 81  شماره 

صفحات  -

تاریخ انتشار 2017