Peng, H
Article
Article
Peng, H, Shi, Peng ORCID: 0000-0001-8218-586X and Xu, Y
(2018)
Passive state estimator design for Markovian complex networks with polytopic sensor failures.
Neurocomputing, 307.
205 - 212.
ISSN 0925-2312
Peng, H, Wang, J, Ming, J, Shi, Peng ORCID: 0000-0001-8218-586X, Pérez-Jiménez, MJ, Yu, W and Tao, C
(2018)
Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems.
IEEE Transactions on Smart Grid, 9 (5).
pp. 4777-4784.
ISSN 1949-3053
Peng, H, Lu, RQ, Shi, Peng ORCID: 0000-0001-8218-586X and Xu, Y
(2018)
Reduced-order filtering for networks with Markovian jumping parameters and missing measurements.
International Journal of Control.
ISSN 0020-7179
Peng, H, Wang, J, Shi, Peng ORCID: 0000-0001-8218-586X, Pérez-Jiménez, MJ and Riscos-Núñez, A
(2017)
Fault diagnosis of power systems using fuzzy tissue-like P systems.
Integrated Computer-Aided Engineering, 24 (4).
401 - 411.
ISSN 1069-2509
Peng, H, Shi, Peng ORCID: 0000-0001-8218-586X, Wang, J, Riscos-Núñez, A and Pérez-Jiménez, MJ
(2017)
Multiobjective fuzzy clustering approach based on tissue-like membrane systems.
Knowledge-Based Systems, 125.
74 - 82.
ISSN 0950-7051
Peng, H, Wang, J, Shi, Peng ORCID: 0000-0001-8218-586X, Pérez-Jiménez, MJ and Riscos-Núñez, A
(2016)
An extended membrane system with active membranes to solve automatic fuzzy clustering problems.
International Journal of Neural Systems, 26 (3).
ISSN 0129-0657
Wang, J, Peng, H, Tu, M, P´erez-Jim´enez, JM and Shi, Peng ORCID: 0000-0003-2668-7616
(2016)
A fault diagnosis method of power systems based on an improved adaptive fuzzy spiking neural P systems and PSO algorithms.
Chinese Journal of Electronics, 25 (2).
320 - 327.
ISSN 1022-4653
Wang, J, Shi, Peng ORCID: 0000-0003-2668-7616 and Peng, H
(2016)
Membrane computing model for IIR filter design.
Information Sciences, 329.
164 - 176.
ISSN 0020-0255
Peng, H, Wang, J, Shi, Peng ORCID: 0000-0003-2668-7616, Riscos-Núñez, A and Pérez-Jiménez, MJ
(2015)
An automatic clustering algorithm inspired by membrane computing.
Pattern Recognition Letters, 68 (P1).
34 - 40.
ISSN 0167-8655