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For: Deng S, Yang L. Reliable H∞ control design of discrete-time Takagi–Sugeno fuzzy systems with actuator faults. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.09.053] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]

For:	Deng S, Yang L. Reliable H∞ control design of discrete-time Takagi–Sugeno fuzzy systems with actuator faults. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.09.053] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]

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Cited by Other Article(s)

Witczak P, Patan K, Witczak M, Mrugalski M. A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling. Neurocomputing 2017. [DOI: 10.1016/j.neucom.2016.10.076] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]

Song X, Song S, Liu L, Inés Tejado B. Adaptive interval type-2 fuzzy sliding mode control for fractional-order systems based on finite-time scheme. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017. [DOI: 10.3233/jifs-161284] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]