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A probabilistic approach to Model Predictive Control
52nd IEEE Conference on Decision and Control, 2013This paper presents a novel Model Predictive Control (MPC) algorithm for linear systems subject to stochastic noise and probabilistic constraints on the state and control variables. The method is based on the reformulation of these constraints in terms of deterministic ones, on the use of terminal constraints on the mean value and on the covariance of ...
FARINA, MARCELLO +3 more
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Predictability in Probabilistic Discrete Event Systems
2016Predictability is a key property allowing one to expect in advance the occurrence of a fault in a system based on its observed events. Existing works give a binary answer to the question of knowing whether a system is predictable or not. In this paper, we consider discrete event systems where probabilities of the transitions are available.
Nouioua, Farid +2 more
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Calibrated probabilistic predictions for biomedical applications
2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), 2012Venn Prediction (VP) is a machine learning framework that can be used to develop methods that provide well-calibrated probabilistic outputs. Unlike other probabilistic methods, the VP framework guarantees validity under the assumption that the data are independently and identically distributed (i.i.d.).
Antonis Lambrou +2 more
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Local Probabilistic Models for Link Prediction
Seventh IEEE International Conference on Data Mining (ICDM 2007), 2007One of the core tasks in social network analysis is to predict the formation of links (i.e. various types of relationships) over time. Previous research has generally represented the social network in the form of a graph and has leveraged topological and semantic measures of similarity between two nodes to evaluate the probability of link formation ...
Chao Wang 0050 +2 more
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Probabilistic Prediction of Landslides Induced by Rainfall
Vulnerability, Uncertainty, and Risk, 2014Landslides are widespread and cause every year casualties and extensive damages. Predicting their spatial and temporal occurrence of landslides is a problem of scientific and societal interest. Empirical threshold model approaches proposed in the literature have limitations related to the heuristic identification of rainfall conditions triggering ...
Rossi M +5 more
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Probabilistic property prediction
Engineering Fracture Mechanics, 2007Uncertainty must be characterized accurately for engineering applications because it arises from a number of sources each of which are exacerbated as the complexity increases. Having limited data also intensifies concerns about the uncertainty. Historically the design of structural components for high reliability applications has required an extensive ...
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An architecture modeling framework for probabilistic prediction
Information Systems and e-Business Management, 2014In the design phase of business and IT system development, it is desirable to predict the properties of the system-to-be. A number of formalisms to assess qualities such as performance, reliability and security have therefore previously been proposed. However, existing prediction systems do not allow the modeler to express uncertainty with respect to ...
Pontus Johnson +4 more
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A probabilistically constrained model predictive controller
Automatica, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pu Li 0001, Moritz Wendt, Günter Wozny
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Probabilistic Performance Prediction
2011In modern multimedia systems, multiple applications execute concurrently. While traditionally a mobile phone had to support only a handful of applications like communicating with the base station, sending and receiving short messages, and encoding and decoding voice; modern high-end mobile devices also act as music and video player, camera, gps, mobile
Akash Kumar +3 more
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A new probabilistic approach in predictive microbiology
2011In this thesis a new probabilistic model in predictive microbiology, the NPMPM, is presented. It is based on a new approach for including variability and uncertainty. The NPMPM was developed for risk assessment of bacterial contaminations in the food supply chain. It is introduced by the example of a contamination of the milk supply chain with Listeria
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