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R Robles
R Robles
Universidad pública en Valencia, España
Bestätigte E-Mail-Adresse bei upvnet.upv.es
Titel
Zitiert von
Zitiert von
Jahr
Performance‐oriented quasi‐LPV modeling of nonlinear systems
R Robles, A Sala, M Bernal
International Journal of Robust and Nonlinear Control 29 (5), 1230-1248, 2019
222019
Subspace-Based Takagi-Sugeno Modeling for Improved LMI Performance
R Robles, A Sala, M Bernal, T Gonzalez
IEEE Transactions on Fuzzy Systems, 2016
182016
Piecewise-Takagi–Sugeno asymptotically exact estimation of the domain of attraction of nonlinear systems
T González, A Sala, M Bernal, R Robles
Journal of the Franklin Institute 354 (3), 1514-1541, 2017
142017
Gain-scheduled control via convex nonlinear parameter varying models
A Sala, C Ariño, R Robles
IFAC-PapersOnLine 52 (28), 70-75, 2019
102019
Comments on “Exact Output Regulation for Nonlinear Systems Described by Takagi–Sugeno Fuzzy Models”
R Robles, M Bernal
IEEE Transactions on Fuzzy Systems 23 (1), 230-233, 2014
92014
A generalisation of line-integral Lyapunov function for Takagi-Sugeno systems
T Gonzalez, A Sala, M Bernal, R Robles
IFAC-PapersOnLine 50 (1), 2983-2988, 2017
82017
Choosing a Takagi-Sugeno model for improved performance
R Robles, A Sala, M Bernal, T González
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2015
62015
Invariant sets of nonlinear models via piecewise affine Takagi-Sugeno models
T González, A Sala, M Bernal, R Robles
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2015
42015
Set‐based gain‐scheduled control via quasi‐convex difference inclusions
A Sala, C Ariño, R Robles
International Journal of Robust and Nonlinear Control 31 (17), 8124-8146, 2021
12021
Optimal-Performance Takagi-Sugeno Models via the LMI Null Space
R Robles, A Sala, M Bernal, T González
IFAC-PapersOnLine 49 (5), 13-18, 2016
12016
Nonlinear output regulation via Takagi-Sugeno models: the synchronization case
R Robles, S Angulo, A Tapia, M Bernal, R Márquez
IFAC Proceedings Volumes 46 (20), 188-193, 2013
2013
Generalized Adaptive Fuzzy Rule Interpolation...................................... L. Yang, F. Chao, and Q. Shen 839 State-Based Decentralized Diagnosis of Bi-Fuzzy Discrete …
C Wang, Y Qi, M Shao, Q Hu, D Chen, Y Qian, Y Lin, R Robles, A Sala, ...
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