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- Kalidass Mathiyalagan

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Electronics and Electrical Engineering
D-index
33
Citations
3,213
88
World Ranking
2909
National Ranking
27

- Control theory
- Mathematical analysis
- Nonlinear system

Kalidass Mathiyalagan mostly deals with Control theory, Linear matrix inequality, Passivity, Exponential stability and Stability theory. His research is interdisciplinary, bridging the disciplines of Bounded function and Control theory. His work deals with themes such as Norm and Linear fractional transformation, which intersect with Bounded function.

While the research belongs to areas of Linear matrix inequality, he spends his time largely on the problem of Lyapunov function, intersecting his research to questions surrounding Stability conditions. His research investigates the connection between Passivity and topics such as Class that intersect with issues in Mathematical optimization. In his work, Stability is strongly intertwined with Applied mathematics, which is a subfield of Exponential stability.

- Synchronization for delayed memristive BAM neural networks using impulsive control with random nonlinearities (133 citations)
- Exponential $\mathcal {H}_{\infty }$ Filtering for Discrete-Time Switched Neural Networks With Random Delays (97 citations)
- Robust mixed H ∞ and passive filtering for networked Markov jump systems with impulses (96 citations)

His primary areas of investigation include Control theory, Linear matrix inequality, Exponential stability, Control theory and Computer science. Kalidass Mathiyalagan conducted interdisciplinary study in his works that combined Control theory and Set. His biological study spans a wide range of topics, including Full state feedback and Lyapunov function, Robust control, Nonlinear system.

His Exponential stability research is multidisciplinary, incorporating elements of Mathematical optimization and Exponential function. Kalidass Mathiyalagan has included themes like Numerical analysis and Actuator in his Control theory study. His Stability theory research focuses on subjects like H-infinity methods in control theory, which are linked to Norm.

- Control theory (97.85%)
- Linear matrix inequality (47.31%)
- Exponential stability (32.26%)

- Control theory (97.85%)
- Sliding mode control (4.30%)
- Nonlinear system (13.98%)

Kalidass Mathiyalagan mainly focuses on Control theory, Sliding mode control, Nonlinear system, Computer science and Linear-quadratic regulator. Kalidass Mathiyalagan applies his multidisciplinary studies on Control theory and Filter design in his research. As part of the same scientific family, he usually focuses on Sliding mode control, concentrating on Time complexity and intersecting with Numerical stability and Lyapunov stability.

Kalidass Mathiyalagan studies Stability theory, a branch of Nonlinear system. His Stability theory research is multidisciplinary, relying on both Linear matrix and Discrete time nonlinear systems. His studies link Linear matrix inequality with Linear-quadratic regulator.

- Robust reliable dissipative filtering for Markovian jump nonlinear systems with uncertainties (15 citations)
- Finite-time stabilization of nonlinear time delay systems using LQR based sliding mode control (14 citations)
- Robust energy-to-peak filtering for discrete-time nonlinear systems with measurement quantization (13 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Synchronization for delayed memristive BAM neural networks using impulsive control with random nonlinearities

K. Mathiyalagan;Ju H. Park;R. Sakthivel.

Applied Mathematics and Computation **(2015)**

147 Citations

Exponential $\mathcal {H}_{\infty }$ Filtering for Discrete-Time Switched Neural Networks With Random Delays

Kalidass Mathiyalagan;Hongye Su;Peng Shi;Rathinasamy Sakthivel.

IEEE Transactions on Systems, Man, and Cybernetics **(2015)**

144 Citations

Reliable Mixed $H_\infty $ and Passivity-Based Control for Fuzzy Markovian Switching Systems With Probabilistic Time Delays and Actuator Failures

Rathinasamy Sakthivel;Subramaniam Selvi;Kalidass Mathiyalagan;Peng Shi.

IEEE Transactions on Systems, Man, and Cybernetics **(2015)**

132 Citations

Design of state estimator for bidirectional associative memory neural networks with leakage delays

R. Sakthivel;P. Vadivel;K. Mathiyalagan;A. Arunkumar.

Information Sciences **(2015)**

109 Citations

Robust mixed H ∞ and passive filtering for networked Markov jump systems with impulses

K. Mathiyalagan;Ju H. Park;R. Sakthivel;S. Marshal Anthoni.

Signal Processing **(2014)**

106 Citations

Non-fragile H ∞ synchronization of memristor-based neural networks using passivity theory

K. Mathiyalagan;R. Anbuvithya;R. Sakthivel;Ju H. Park.

Neural Networks **(2016)**

106 Citations

Reliable anti-synchronization conditions for BAM memristive neural networks with different memductance functions

R. Sakthivel;R. Anbuvithya;K. Mathiyalagan;Yong-Ki Ma.

Applied Mathematics and Computation **(2016)**

88 Citations

Robust passivity analysis of fuzzy Cohen–Grossberg BAM neural networks with time-varying delays

R. Sakthivel;A. Arunkumar;K. Mathiyalagan;S. Marshal Anthoni.

Applied Mathematics and Computation **(2011)**

80 Citations

Mixed H∞ and passive control for singular Markovian jump systems with time delays

Rathinasamy Sakthivel;Maya Joby;K. Mathiyalagan;Srimanta Santra.

Journal of The Franklin Institute-engineering and Applied Mathematics **(2015)**

80 Citations

Exponential synchronization for fractional-order chaotic systems with mixed uncertainties

Kalidass Mathiyalagan;Ju H. Park;Rathinasamy Sakthivel.

Complexity **(2015)**

75 Citations

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