Browsing by Subject "Dynamical systems"
Now showing items 21-31 of 31
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Article
Nonconcurrent error correction in the presence of roundoff noise
(2009)This paper analyzes the effects of roundoff noise on our ability to nonconcurrently detect and identify transient faults that corrupt state variables during the operation of a fault-tolerant discrete-time linear time-invariant ...
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Conference Object
Nonconcurrent error correction in the presence of roundoff noise
(2006)This paper analyzes the effects of roundoff noise on our ability to nonconcurrently detect and identify transient faults that corrupt state variables during the operation of a fault-tolerant discrete-time (DT) linear ...
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Conference Object
On the fixed point problem in the abstract rate distortion theory
(University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering, 2006)This paper introduces a general framework for dealing with the subject of rate distortion or source coding with fidelity criterion, in Polish spaces. The problem is ad-dressed using a variational approach on the space of ...
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Conference Object
Optimal stochastic control of discrete-time systems subject to total variation distance uncertainty
(2010)This paper presents another application of the results in [1], [2], where existence of the maximizing measure over the total variation distance constraint is established, while the maximizing pay-off is shown to be equivalent ...
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Article
Power conserving bond graph based modal representations and model reduction of lumped parameter systems
(2014)Dynamic analysis is extensively used to study the behavior of continuous and lumped parameter linear systems. In addition to the physical space, analyses can also be performed in the modal space where very useful frequency ...
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Conference Object
A review of proper modeling techniques
(Affiliation: University of Michigan, Department of Mechanical Engineering, Ann Arbor, MI, United StatesAffiliation: University of Cyprus, Department of Mechanical and Manufacturing Engineering, Nicosia, CyprusAffiliation: Memorial University of Newfoundland, Department of Engineering and Applied Science, St. John's, NL, CanadaCorrespondence Address: Ersal, T.University of Michigan, Department of Mechanical Engineering, Ann Arbor, MI, United Statesemail: tersal@umich.edu, 2008)A dynamic system model is proper for a particular application if it achieves the accuracy required by the application with minimal complexity. Because model complexity often - but not always - correlates inversely with ...
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Article
Robust coding for a class of sources: Applications in control and reliable communication over limited capacity channels
(2008)This paper is concerned with the control of a class of dynamical systems over finite capacity communication channels. Necessary conditions for reliable data reconstruction and stability of a class of dynamical systems are ...
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Conference Object
Robust control of a class of feedback systems subject to limited capacity constraints
(2007)In this paper we are concerned with uniform mean square reliable data reconstruction and robust stability for a class of dynamical systems over Additive White Gaussian Noise (AWGN) channels, subject to the limited capacity ...
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Conference Object
Robust stabilizing scheme for uncertain systems controlled over limited capacity additive white Gaussian noise channels
(2008)In this paper we propose an encoding scheme and a stability scheme for reliable data reconstruction and robust stability of uncertain dynamical systems controlled over Additive White Gaussian Noise (AWGN) channels subject ...
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Article
Stability and reliable data reconstruction of uncertain dynamic systems over finite capacity channels
(2010)In this paper we present an encoder, decoder and a stabilizing controller for reliable data reconstruction and robust stability of uncertain dynamic systems controlled over Additive White Gaussian Noise (AWGN) channels. ...
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Article
Systematic identification of decoupling in dynamic system models
(2007)This paper proposes a technique to quantitatively and systematically search for decoupling among elements of a dynamic system model, and to partition models in which decoupling is found. The method can validate simplifying ...