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Kalidass Mathiyalagan

Kalidass Mathiyalagan

Bharathiar University
India

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Electronics and Electrical Engineering D-index 35 Citations 3,453 93 World Ranking 3776 National Ranking 33

Rising Stars D-index 35 Citations 3,457 94 World Ranking 758 National Ranking 29

Research.com Recognitions

Awards & Achievements

2023 - Research.com Rising Star of Science Award

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study Kalidass Mathiyalagan is best known for:

Lyapunov stability
Exponential stability
Algorithm

His research on Control theory (sociology) and Lyapunov stability is centered around Control (management). His Control theory (sociology) study frequently draws connections to adjacent fields such as Control (management). Kalidass Mathiyalagan connects relevant research areas such as Estimator and Discrete time and continuous time in the domain of Statistics. He undertakes multidisciplinary studies into Estimator and Statistics in his work. While working in this field, he studies both Discrete time and continuous time and Nonlinear system. Kalidass Mathiyalagan combines topics linked to Exponential stability with his work on Nonlinear system. Artificial intelligence is closely attributed to Chaotic in his research. He performs multidisciplinary study in Artificial neural network and Algorithm in his work. Kalidass Mathiyalagan merges Algorithm with Artificial intelligence in his research.

His most cited work include:

Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si43.gif" display="inline" overflow="scroll">mml:msub mml:mrow mml:miH</mml:mi></mml:mrow>mml:mrow mml:mi∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of memristor-based neural networks using passivity theory (114 citations)
Design of state estimator for bidirectional associative memory neural networks with leakage delays (111 citations)
Exponential <inline-formula> <tex-math notation="LaTeX">$\mathcal {H}_{\infty }$ </tex-math></inline-formula> Filtering for Discrete-Time Switched Neural Networks With Random Delays (110 citations)

What are the main themes of his work throughout his whole career to date

Kalidass Mathiyalagan links relevant research areas such as Discrete time and continuous time and Estimator in the realm of Statistics. He carries out multidisciplinary research, doing studies in Discrete time and continuous time and Nonlinear system. His study in Exponential stability extends to Nonlinear system with its themes. By researching both Estimator and Statistics, he produces research that crosses academic boundaries. Much of his study explores Mathematical analysis relationship to Bounded function and Upper and lower bounds. His Mathematical analysis research extends to the thematically linked field of Bounded function. Artificial intelligence and Actuator are commonly linked in his work. Actuator is frequently linked to Artificial intelligence in his study. His Control (management) study frequently draws connections to other fields, such as Control theory (sociology).

Kalidass Mathiyalagan most often published in these fields:

Artificial intelligence (98.77%)
Control (management) (92.59%)
Control theory (sociology) (91.36%)

What were the highlights of his more recent work (between 2016-2021)?

Artificial intelligence (100.00%)
Control (management) (100.00%)
Control theory (sociology) (100.00%)

In recent works Kalidass Mathiyalagan was focusing on the following fields of study:

A majority of his Quantum mechanics research is a blend of other scientific areas, such as Applied mathematics and Dissipative system. In his works, he undertakes multidisciplinary study on Applied mathematics and Quantum mechanics. His research on Algorithm often connects related areas such as State (computer science) and Reachability. His study in Algorithm extends to State (computer science) with its themes. Among his research on Geometry, you can see a combination of other fields of science like Quadratic equation and Conic section. Kalidass Mathiyalagan integrates many fields in his works, including Quadratic equation and Geometry. He applies the principles of MATLAB and Mode (computer interface) in his work under Operating system. His Mode (computer interface) study frequently links to other fields, such as Operating system. His work on Artificial intelligence is being expanded to include thematically relevant topics such as Lyapunov stability.

Between 2016 and 2021, his most popular works were:

Finite-time stabilization of nonlinear time delay systems using LQR based sliding mode control (35 citations)
Robust reliable dissipative filtering for Markovian jump nonlinear systems with uncertainties (18 citations)
Second-order sliding mode control for nonlinear fractional-order systems (14 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.

Best Publications

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)

157 Citations

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)

154 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)

152 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)

120 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)

119 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)

113 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)

94 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)

88 Citations

Exponential synchronization for fractional-order chaotic systems with mixed uncertainties

Kalidass Mathiyalagan;Ju H. Park;Rathinasamy Sakthivel.
Complexity (2015)

81 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)