Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

Search 250 million research papers

Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.

About 10,000 papers for “Observability”

Observability

Todd Rogers · OSF Preprints (OSF Preprints) · 2016

Cited by 0

Observability

João Hespanha · Princeton University Press eBooks · 2018

Cited by 0

Observability

Peyman Setoodeh, Saeid Habibi, S. Haykin · 2022

This chapter is dedicated to the notion of observability in dynamic systems, which refers to the ability of reconstructing the state variables from system inputs and outputs. While state variables of deterministic systems may be either observable or unobservable, for stochastic systems a degree of observability is defined based on information-theoretic concepts. Observability is studied for both continuous-time and discrete-time systems. Observability conditions are presented for linear time-invariant, linear time-varying, and nonlinear systems. Furthermore, guidelines are provided for discretization of both linear and nonlinear continuous-time systems.

Cited by 0

Observability

Michelle S. Chong, Masashi Wakaiki, João P. Hespanha · 2016

Cited by 0

Observability

Anshul Agarwal, Vitobha Munigala, Krithi Ramamritham · 2016

Sensor driven building management involves tasks like reducing and optimizing power consumption, monitoring the health of the building appliances, maintaining quality of the atmosphere in the building and tracking occupants in various parts of the building (useful for purposes such as building safety and emergency evacuation), to name a few. But, installing numerous sensors in different parts of the building can a) be tedious and expensive b) cause inconvenience to the users c) increase the payback period and, d) affect the aesthetics of the building. The fact that a sensor, suitable for observing a particular facet, may in turn help to infer other facets can be exploited to reduce the number of physical sensors deployed in a building. We have applied our approach to monitor various facets in our academic building and show that impressive reductions are possible, in the number of hard sensors needed, without compromising on observability.

Cited by 5

Observability

Philippe Martin · Apress eBooks · 2020

When working with Kubernetes, observability is crucial. Kubernetes is made of an important quantity of moving parts, and you will need tools to understand what is happening or what happened between these different parts.

Cited by 1

Observability

Lecture notes in control and information sciences · 2007

Cited by 0

Observability

Todd Rogers · OSF Preprints (OSF Preprints) · 2016

Cited by 0

Observability

Todd Rogers · OSF Preprints (OSF Preprints) · 2016

Cited by 0

Observability

Todd Rogers · OSF Preprints (OSF Preprints) · 2016

Cited by 0

Observability relations and observability don't cares

H. Savoj, Robert K. Brayton · 2002

The observability relation O(x,z) or the Boolean relation provides a description of all the flexibility one has in implementing a Boolean network N. The authors represent and use this flexibility in a logic synthesis system by adding a single output node to the Boolean network N. The node function for the new node is O(x,z). The newly constructed network N' (called the observability network) has only one output and computes 1 for every input x. It is shown that the observability don't cares (ODCs) for a node y/sub i/ in N' provide the maximum flexibility for implementing y/sub i/ and subsume the flexibility obtained for y/sub i/ in N even with don't cares provided at each output. This gives rise to new methods for computing complete ODCs for N' and hence for N.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cited by 37

Formulae relating Controllability, Observability, and Co-Observability

Ratnesh Kumar Department, Ratnesh Kumar, Mark A. Shayman · 1998

In this note we present formulae relating controllability. observability, and coobservability. Given a discrete event plant G with event set \\Sigma, uncontrollable event set \\Sigma ui , and observation mask M i of the ith supervisor, we first show that the infimal prefixclosed, (L(G); T i \\Sigma ui )-controllable, and (L(G); \\Sigma ui ; M i )--co-observable superlanguage equals the intersection (taken over all i&amp;apos;s) of the infimal prefix-closed, (L(G); \\Sigma ui )- controllable, and (L(G); M i )-observable superlanguage. Next we show that the infimal prefix-closed, and (\\Sigma ; M)-observable superlanguage computation preserves (\\Sigma ; \\Sigma u )- controllability. These results can be used to compute individual supervisors in the decentralized control setting. This research was supported in part by the Center for Robotics and Manufacturing, University of Kentucky, and in part by the National Science Foundation under grants CDR-8803012, EEC-94-02384, ECS9312587, ECS-9409712...

Cited by 0

Observability Bifurcations

L Boutat-Baddas, J Barbot, I Belmouhoub · Automation and control engineering/Automation and control engineering series · 2005

Cited by 0