
MPT
 Referenced in 160 articles
[sw04732]
 systems with persistent additive and polytopic uncertainties. Users can add custom constraints, such as polytopic...

Robust Control Toolbox
 Referenced in 108 articles
[sw07907]
 analyze the impact of plant model uncertainty on control system performance and identify worstcase...

DAKOTA
 Referenced in 39 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...

FRIL
 Referenced in 38 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...

FLINTSTONES
 Referenced in 40 articles
[sw17950]
 widespread methodologies to deal with uncertainty in realworld decision making problems, the computing...

RMAX
 Referenced in 32 articles
[sw02539]
 formally justifies the “optimism under uncertainty” bias used in many RL algorithms...

LFRtoolbox
 Referenced in 18 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...

ROOT
 Referenced in 31 articles
[sw06817]
 including cost function selection, complexity control and uncertainty estimation. An example of such application...

BLOG
 Referenced in 31 articles
[sw22025]
 over worlds with unknown objects and identity uncertainty. BLOG unifies and extends several existing approaches...

refund
 Referenced in 22 articles
[sw07434]
 obtaining correct curve estimates by accounting for uncertainty in FPC decompositions. Additionally, pointwise and simultaneous ... bootstrap procedure is implemented to understand the uncertainty in principal component decomposition quantities. Our method...

ALEA
 Referenced in 22 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...

POMDPS
 Referenced in 30 articles
[sw03055]
 rich framework for sequential decisionmaking under uncertainty in stochastic domains. However, solving a POMDP...

CORO
 Referenced in 21 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...

HTCondor MW
 Referenced in 26 articles
[sw04425]
 will handle all this variation and uncertainty in the opportunistic environment of HTCondor...

ValEncIAIVP
 Referenced in 24 articles
[sw04846]
 applications. If guaran teed bounds for the uncertainties are known, interval meth...

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...

QUESO
 Referenced in 17 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...

PITA
 Referenced in 12 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...

DeLorean
 Referenced in 15 articles
[sw22920]
 knowledge representations able to deal with uncertainty, which is a very common requirement in real ... ontologies are not suitable to deal with uncertainty and, consequently, several extensions with fuzzy logic...