
MPT
 Referenced in 94 articles
[sw04732]
 systems with persistent additive and polytopic uncertainties. Users can add custom constraints, such as polytopic...

DAKOTA
 Referenced in 35 articles
[sw05202]
 Oriented Framework for Design Optimization,Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, The Dakota (Design ... optimization with gradient and nongradientbased methods; uncertainty quantification with sampling, reliability, and stochastic expansion ... mixed integer nonlinear programming, or optimization under uncertainty. By employing objectoriented design to implement...

Robust Control Toolbox
 Referenced in 55 articles
[sw07907]
 analyze the impact of plant model uncertainty on control system performance and identify worstcase...

FRIL
 Referenced in 34 articles
[sw18490]
 Artificial Intelligence. Presents a theory of uncertainty, consistent with and combining the theories of probability ... inference to permit the inclusion of uncertainties such as probabilistic knowledge and fuzzy incompleteness. Describes...

RMAX
 Referenced in 31 articles
[sw02539]
 formally justifies the “optimism under uncertainty” bias used in many RL algorithms...

ROOT
 Referenced in 30 articles
[sw06817]
 including cost function selection, complexity control and uncertainty estimation. An example of such application...

POMDPS
 Referenced in 29 articles
[sw03055]
 rich framework for sequential decisionmaking under uncertainty in stochastic domains. However, solving a POMDP...

FLINTSTONES
 Referenced in 29 articles
[sw17950]
 widespread methodologies to deal with uncertainty in realworld decision making problems, the computing...

CORO
 Referenced in 20 articles
[sw02197]
 supply, transformation and distribution optimization under uncertainty. The authors present a modeling framework ... Transformation and Distribution (STD) scheduling problem under uncertainty on the product demand, spot supply cost...

LFRtoolbox
 Referenced in 14 articles
[sw04756]
 toolbox for Matlab for building LFTbased uncertainty models and for LFTbased gain scheduling ... object definition supporting a large class of uncertainty descriptions: continuous and discretetime uncertain models ... regular and singular parametric expressions, more general uncertainty blocks (nonlinear, timevarying, etc.). By associating ... names to uncertainty blocks the reusability of generated LFTrepresentations and the user friendliness...

EVPI
 Referenced in 17 articles
[sw02644]
 decisions have to be made under future uncertainty. There are a variety of methods ... random data process determining the uncertainty in the problem. This paper describes a parallel implementation...

HTCondor MW
 Referenced in 22 articles
[sw04425]
 will handle all this variation and uncertainty in the opportunistic environment of HTCondor...

ALEA
 Referenced in 15 articles
[sw10167]
 spectral methods and lowrank approximations in uncertainty quantification. ALEA is intended as a research ... framework for numerical methods in Uncertainty Quantification (UQ). Its emphasis lies on: generalised polynomial chaos...

QUESO
 Referenced in 15 articles
[sw10555]
 Parallel C++ Statistical Library ‘QUESO’: Quantification of Uncertainty for Estimation, Simulation and Optimization. QUESO ... programming constructs supporting research into the uncertainty quantification (UQ) of models and their predictions...

ValEncIAIVP
 Referenced in 19 articles
[sw04846]
 applications. If guaran teed bounds for the uncertainties are known, interval meth...

SmartMobile
 Referenced in 12 articles
[sw10867]
 arithmetic and does not take into account uncertainty in the input data. The program SmartMobile ... correct and measure the influence of data uncertainty. In this paper, we outline the main...

ProTDB
 Referenced in 17 articles
[sw13843]
 structure, due to the possibility of uncertainty association at multiple granularities...

RACT
 Referenced in 15 articles
[sw06924]
 synthesis of control systems affected by various uncertainty structures...

PITA
 Referenced in 8 articles
[sw06950]
 tabling and answer subsumption for reasoning under uncertainty. Many real world domains require the representation ... measure of uncertainty. The most common such representation is probability, and the combination of probability ... logic programs adopt a simpler metric of uncertainty than probability.par Each of these approaches  general ... different domains depending on the form of uncertainty to be represented, on the form...

BioBayes
 Referenced in 10 articles
[sw08082]
 biology. MOTIVATION: There are several levels of uncertainty involved in the mathematical modelling of biochemical ... There often may be a degree of uncertainty about the values of kinetic parameters, about...