2023 - Research.com Electronics and Electrical Engineering in India Leader Award
2022 - Research.com Electronics and Electrical Engineering in India Leader Award
Rathinasamy Sakthivel mainly focuses on Control theory, Artificial neural network, Nonlinear system, Mathematical analysis and Exponential stability. His research investigates the link between Control theory and topics such as Fuzzy logic that cross with problems in Bounded function. His biological study spans a wide range of topics, including Memristor, Lyapunov function, Linear matrix and Synchronization.
In the field of Nonlinear system, his study on Nonlinear control overlaps with subjects such as Set and Physical model. His work in Mathematical analysis tackles topics such as Controllability which are related to areas like Linear system, Fixed-point theorem, Fixed point, Distributed parameter system and Semigroup. His work investigates the relationship between Control theory and topics such as Actuator that intersect with problems in Fault tolerance.
Rathinasamy Sakthivel focuses on Control theory, Nonlinear system, Control theory, Linear matrix inequality and Exponential stability. His Control theory study integrates concerns from other disciplines, such as Artificial neural network and Fuzzy logic. His Nonlinear system research also works with subjects such as
His studies deal with areas such as Observer, Matrix, Lyapunov function and Dissipative system as well as Control theory. His work deals with themes such as Passivity, Lyapunov stability, Stability, Discrete time and continuous time and Full state feedback, which intersect with Linear matrix inequality. His studies in Exponential stability integrate themes in fields like Equilibrium point, State, Mathematical optimization and Exponential function.
The scientist’s investigation covers issues in Control theory, Nonlinear system, Control theory, Fuzzy logic and Actuator. His Control theory research is multidisciplinary, relying on both Fault and Artificial neural network. His Nonlinear system research incorporates themes from Multi-agent system, Controllability and Mathematical analysis, Uniqueness.
His study in Control theory is interdisciplinary in nature, drawing from both Stability, Exponential stability, Lyapunov function, Fault tolerance and MATLAB. Rathinasamy Sakthivel interconnects Differential inclusion, Bounded function, Robotic arm and Applied mathematics in the investigation of issues within Fuzzy logic. His Actuator research includes elements of Function and State.
Rathinasamy Sakthivel mainly focuses on Control theory, Control theory, Nonlinear system, Fuzzy logic and Artificial neural network. His Control theory research integrates issues from Matrix and Dissipative system. His Control theory study combines topics in areas such as Stability, Exponential stability, Actuator and Synchronization.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Chaotic, Controllability, Multi-agent system and Applied mathematics. His studies examine the connections between Fuzzy logic and genetics, as well as such issues in Complex network, with regards to Control and Function. Rathinasamy Sakthivel has researched Artificial neural network in several fields, including Type, Topology, Delay dependent, Exponential function and Differential inclusion.
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.
Unscented FastSLAM: A Robust and Efficient Solution to the SLAM Problem
C. Kim;R. Sakthivel;W.K. Chung.
IEEE Transactions on Robotics (2008)
Existence of solutions for nonlinear fractional stochastic differential equations
R. Sakthivel;P. Revathi;Yong Ren.
Nonlinear Analysis-theory Methods & Applications (2013)
On the approximate controllability of semilinear fractional differential systems
R. Sakthivel;Yong Ren;N. I. Mahmudov.
Computers & Mathematics With Applications (2011)
Neural network based optimization approach for energy demand prediction in smart grid
K. Muralitharan;R. Sakthivel;R. Vishnuvarthan.
Neurocomputing (2018)
Approximate controllability of fractional stochastic evolution equations
R. Sakthivel;S. Suganya;S. M. Anthoni.
Computers & Mathematics With Applications (2012)
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)
Asymptotic stability of nonlinear impulsive stochastic differential equations
R. Sakthivel;J. Luo.
Statistics & Probability Letters (2009)
Asymptotic stability of impulsive stochastic partial differential equations with infinite delays
R. Sakthivel;J. Luo.
Journal of Mathematical Analysis and Applications (2009)
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)
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)
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