Similarity-based non-singleton fuzzy logic control for improved performance in UAVs
As non-singleton fuzzy logic controllers (NSFLCs) are capable of capturing input uncertainties, they have been effectively used to control and navigate unmanned aerial vehicles (UAVs) recently. To further enhance the capability to handle the input uncertainty for the UAV applications, a novel NSFLC...
| Main Authors: | Fu, Changhong, Sarabakha, Andriy, Kayacan, Erdal, Wagner, Christian, John, Robert, Garibaldi, Jonathan M. |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
IEEE
2017
|
| Online Access: | https://eprints.nottingham.ac.uk/42286/ |
Similar Items
A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers
by: Fu, Changhong, et al.
Published: (2016)
by: Fu, Changhong, et al.
Published: (2016)
Input uncertainty sensitivity enhanced non-singleton fuzzy logic controllers for long-term navigation of quadrotor UAVs
by: Fu, Changhong, et al.
Published: (2018)
by: Fu, Changhong, et al.
Published: (2018)
A similarity-based inference engine for non-singleton fuzzy logic systems
by: Wagner, Christian, et al.
Published: (2016)
by: Wagner, Christian, et al.
Published: (2016)
Noise parameter estimation for non-singleton fuzzy logic systems
by: Pekaslan, Direnc, et al.
Published: (2018)
by: Pekaslan, Direnc, et al.
Published: (2018)
Determining firing strengths through a novel similarity measure to enhance uncertainty handling in non-singleton fuzzy logic systems
by: Pekaslan, Direnc, et al.
Published: (2017)
by: Pekaslan, Direnc, et al.
Published: (2017)
Exploring subsethood to determine firing strength in non-singleton fuzzy logic systems
by: Pekaslan, Direnc, et al.
Published: (2018)
by: Pekaslan, Direnc, et al.
Published: (2018)
Improved uncertainty capture for non-singleton fuzzy systems
by: Pourabdollah, Amir, et al.
Published: (2016)
by: Pourabdollah, Amir, et al.
Published: (2016)
Contrasting singleton type-1 and interval type-2 non-singleton type-1 fuzzy logic systems
by: Aladi, Jabran Hussain, et al.
Published: (2016)
by: Aladi, Jabran Hussain, et al.
Published: (2016)
Type-2 fuzzy elliptic membership functions for modeling uncertainty
by: Kayacan, Erdal, et al.
Published: (2018)
by: Kayacan, Erdal, et al.
Published: (2018)
A new dynamic approach for non-singleton fuzzification in noisy time-series prediction
by: Pourabdollah, Amir, et al.
Published: (2017)
by: Pourabdollah, Amir, et al.
Published: (2017)
Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems
by: Eyoh, Imo, et al.
Published: (2018)
by: Eyoh, Imo, et al.
Published: (2018)
Elliptic membership functions and the modeling uncertainty in type-2 fuzzy logic systems as applied to time series prediction
by: Kayacan, Erdal, et al.
Published: (2017)
by: Kayacan, Erdal, et al.
Published: (2017)
Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study
by: Marchal, P. Cano, et al.
Published: (2016)
by: Marchal, P. Cano, et al.
Published: (2016)
Interpretability and complexity of design in the creation of fuzzy logic systems: a user study
by: Razak, Tajul Rosli, et al.
Published: (2018)
by: Razak, Tajul Rosli, et al.
Published: (2018)
Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal Secondary membership functions
by: McCulloch, Josie, et al.
Published: (2016)
by: McCulloch, Josie, et al.
Published: (2016)
Analysing fuzzy sets through combining measures of similarity and distance
by: McCulloch, Josie, et al.
Published: (2014)
by: McCulloch, Josie, et al.
Published: (2014)
The outcome of singleton breech delivery
by: Yaakob, Che Anuar Che
Published: (1995)
by: Yaakob, Che Anuar Che
Published: (1995)
A bidirectional subsethood based similarity measure for fuzzy sets
by: Kabir, Shaily, et al.
Published: (2018)
by: Kabir, Shaily, et al.
Published: (2018)
Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets
by: McCulloch, Josie, et al.
Published: (2013)
by: McCulloch, Josie, et al.
Published: (2013)
Intuitionistic fuzzy similarity measures and their role in classification
by: Baccour, Leila, et al.
Published: (2015)
by: Baccour, Leila, et al.
Published: (2015)
A comparison between two types of Fuzzy TOPSIS method
by: Madi, Elissa, et al.
Published: (2015)
by: Madi, Elissa, et al.
Published: (2015)
An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS
by: Madi, Elissa, et al.
Published: (2016)
by: Madi, Elissa, et al.
Published: (2016)
Improving security requirements adequacy: an interval type 2 fuzzy logic security assessment system
by: Hibshi, Hanan, et al.
Published: (2016)
by: Hibshi, Hanan, et al.
Published: (2016)
Exploring the use of Type-2 fuzzy sets in multi-criteria decision making based on TOPSIS
by: Madi, Elissa, et al.
Published: (2017)
by: Madi, Elissa, et al.
Published: (2017)
Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction
by: Eyoh, Imo, et al.
Published: (2016)
by: Eyoh, Imo, et al.
Published: (2016)
Interpretability indices for hierarchical fuzzy systems
by: Razak, T.R., et al.
Published: (2017)
by: Razak, T.R., et al.
Published: (2017)
Performance measurement under increasing environmental uncertainty in the context of interval type-2 fuzzy logic based robotic sailing
by: Benatar, Naisan, et al.
Published: (2013)
by: Benatar, Naisan, et al.
Published: (2013)
Fuzzy logic control for non linear car air conditioning
by: Othman, Mohd Fauzi, et al.
Published: (2006)
by: Othman, Mohd Fauzi, et al.
Published: (2006)
From interval-valued data to general type-2 fuzzy sets
by: Wagner, Christian, et al.
Published: (2014)
by: Wagner, Christian, et al.
Published: (2014)
Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms
by: Agrawal, Utkarsh, et al.
Published: (2018)
by: Agrawal, Utkarsh, et al.
Published: (2018)
Fuzzy logic control
by: Khalid, Marzuki, et al.
Published: (1993)
by: Khalid, Marzuki, et al.
Published: (1993)
Interval type-2 A-intuitionistic fuzzy logic for regression problems
by: Eyoh, Imo, et al.
Published: (2017)
by: Eyoh, Imo, et al.
Published: (2017)
A comparison of non-stationary, type-2 and dual surface fuzzy control
by: Benatar, Naisan, et al.
Published: (2011)
by: Benatar, Naisan, et al.
Published: (2011)
SPFI: shape-preserving Choquet fuzzy integral for non-normal fuzzy set-valued evidence
by: Havens, Timothy C., et al.
Published: (2018)
by: Havens, Timothy C., et al.
Published: (2018)
Time series forecasting with interval type-2 intuitionistic fuzzy logic systems
by: Eyoh, Imo, et al.
Published: (2017)
by: Eyoh, Imo, et al.
Published: (2017)
Interval type-2 intuitionistic fuzzy logic systems - a comparative evaluation
by: Eyoh, Imo, et al.
Published: (2018)
by: Eyoh, Imo, et al.
Published: (2018)
Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation
by: Eyoh, Imo, et al.
Published: (2018)
by: Eyoh, Imo, et al.
Published: (2018)
Introduction to Fuzzy Logic and Fuzzy Linear Programming
by: Vasant, Pandian
Published: (2008)
by: Vasant, Pandian
Published: (2008)
Application of Fuzzy Logic in Medicine
by: Zubir, Nazira, et al.
Published: (2016)
by: Zubir, Nazira, et al.
Published: (2016)
Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers
by: Havens, Timothy C., et al.
Published: (2015)
by: Havens, Timothy C., et al.
Published: (2015)
Similar Items
-
A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers
by: Fu, Changhong, et al.
Published: (2016) -
Input uncertainty sensitivity enhanced non-singleton fuzzy logic controllers for long-term navigation of quadrotor UAVs
by: Fu, Changhong, et al.
Published: (2018) -
A similarity-based inference engine for non-singleton fuzzy logic systems
by: Wagner, Christian, et al.
Published: (2016) -
Noise parameter estimation for non-singleton fuzzy logic systems
by: Pekaslan, Direnc, et al.
Published: (2018) -
Determining firing strengths through a novel similarity measure to enhance uncertainty handling in non-singleton fuzzy logic systems
by: Pekaslan, Direnc, et al.
Published: (2017)