K. Subramanian
Orcid: 0000-0002-7532-2528Affiliations:
- Deemed University, Gandhigram Rural Institute, Department of Mathematics, Gandhigram, India
According to our database1,
K. Subramanian
authored at least 17 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Switched sampled-data-based membership function-dependent H∞ control for PMSG-based WTS with actuator failures.
Math. Comput. Simul., 2024
2023
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Practical consensus for heterogeneous multi-agent systems with gain fluctuations via resilient sampled-data control.
Eur. J. Control, 2023
2022
Resilient Reliable H<sub>θ</sub> Load Frequency Control of Power System With Random Gain Fluctuations.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Stabilization Criteria for T-S Fuzzy Systems With Multiplicative Sampled-Data Control Gain Uncertainties.
IEEE Trans. Fuzzy Syst., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Fuzzy membership function-dependent switched control for nonlinear systems with memory sampled-data information.
Soft Comput., 2022
J. Frankl. Inst., 2022
Fault-tolerant load frequency control for DFIG-based interconnected wind power systems.
Inf. Sci., 2022
Hidden Markov model based non-fragile sampled-data control design for mode-dependent fuzzy systems with actuator faults.
Appl. Math. Comput., 2022
2021
Memory-Based Integral Sliding-Mode Control for T-S Fuzzy Systems With PMSM via Disturbance Observer.
IEEE Trans. Cybern., 2021
2020
Nonfragile Retarded Sampled-Data Switched Control of T-S Fuzzy Systems and Its Applications.
IEEE Trans. Fuzzy Syst., 2020
2018
Existence, uniqueness, and global asymptotic stability analysis for delayed complex-valued Cohen-Grossberg BAM neural networks.
Neural Comput. Appl., 2018
State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties.
Appl. Math. Comput., 2018
2016
Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays.
J. Frankl. Inst., 2016
Stability criteria for Markovian jump neural networks with mode-dependent additive time-varying delays via quadratic convex combination.
Neurocomputing, 2016