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Robustification
Known as:
Robustification analysis
, Robustify
Robustification is a form of optimisation whereby a system is made less sensitive to the effects of random variability, or noise, that is present in…
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Related topics
Related topics
3 relations
Monte Carlo method
Taguchi methods
Broader (1)
Reliability engineering
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Robust Adaptive Cooperative Control for Formation-Tracking Problem in a Network of Non-Affine Nonlinear Agents
M. Mahyuddin
,
A. Safaei
2017
Corpus ID: 195930248
In this chapter, a decentralized cooperative control protocol is proposed with application to any network of agents with non…
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2017
2017
Learning the post-contact reconfiguration of the hand object system for adaptive grasping mechanisms
Minas Liarokapis
,
A. Dollar
IEEE/RJS International Conference on Intelligent…
2017
Corpus ID: 3151671
A new class of simple, adaptive, under-actuated and compliant robot hands has recently attracted the interest of the robotics…
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2011
2011
Using Finite Mixtures to Robustify Statistical Models
M. Rohan
2011
Corpus ID: 116773657
Abstract This thesis is concerned with robust estimation of the parameters of statistical models. Although robust estimation is a…
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2009
2009
Delta-k Wideband SAR Interferometry for DEM Generation and Persistent Scatterers using TerraSAR-X Data
R. Brcic
,
M. Eineder
,
+7 authors
M. Süss
2009
Corpus ID: 23194809
Wideband SAR systems such as TerraSAR-X allow estimation of the absolute interferometric phase without resorting to error prone…
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2009
2009
Fuzzy mega cluster based anomaly network intrusion detection
N. Hubballi
,
S. Biswas
,
Sukumar Nandi
International Conference on Network and Service…
2009
Corpus ID: 16966761
Most of the anomaly based techniques produce vast number of alert messages that include a large percentage of false alarms. One…
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2007
2007
Experiments with small helicopter automated landings at unusual attitudes
S. Bayraktar
,
E. Feron
arXiv.org
2007
Corpus ID: 440
This paper describes a set of experiments involving small helicopters landing automated landing at unusual attitudes. By…
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2006
2006
Fuzzy based approach to the recognition of handwritten numerals
M. S. Bawa
2006
Corpus ID: 12454366
The theory of fuzzy set provides an approximate but effective means of describing the behavior of ill-defined systems. Patterns…
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2006
2006
Robustification of explicit predictive control laws
Sorin Olaru
,
P. Rodríguez-Ayerbe
Proceedings of the 45th IEEE Conference on…
2006
Corpus ID: 42656175
This paper deals with the control laws based on parametric programming and concentrates on the a posteriori robustification of…
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2004
2004
Decomposition of the mini-max multimodel optimal problem via integral sliding mode control
L. Fridman
,
A. Poznyak
,
F. Bejarano
Proceedings of the American Control Conference
2004
Corpus ID: 3015842
An original linear time varying system with matched and unmatched disturbances and uncertainties is replaced by a finite set of…
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1996
1996
An improved possibilistic C-Means algorithm with finite rejection and robust scale estimation
O. Nasraoui
,
R. Krishnapuram
Proceedings of North American Fuzzy Information…
1996
Corpus ID: 123363276
We propose an improved Possibilistic C-Means (PCM) algorithm called the New Possibilistic C-Means algorithm (NPCM). The NPCM…
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