Global asymptotic stability of stochastic recurrent neural networks with multiple discrete delays and unbounded distributed delays. - Pagavathigounder Balasubramaniam; R. Rakkiyappan (Appl. Math. Comput., 2008)

Delay-dependent asymptotic stability for stochastic delayed recurrent neural networks with time varying delays. - R. Rakkiyappan; Pagavathigounder Balasubramaniam (Appl. Math. Comput., 2008)

LMI conditions for global asymptotic stability results for neutral-type neural networks with distributed time delays. - R. Rakkiyappan; Pagavathigounder Balasubramaniam (Appl. Math. Comput., 2008)

New global exponential stability results for neutral type neural networks with distributed time delays. - R. Rakkiyappan; Pagavathigounder Balasubramaniam (Neurocomputing, 2008)

Global exponential stability results for delayed neural networks of neutral type. - R. Rakkiyappan; Pagavathigounder Balasubramaniam (Int. J. Comput. Math., 2009)

Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties. - Pagavathigounder Balasubramaniam; Shanmugam Lakshmanan; R. Rakkiyappan (Neurocomputing, 2009)

Delay-dependent robust stability analysis of uncertain stochastic neural networks with discrete interval and distributed time-varying delays. - Pagavathigounder Balasubramaniam; R. Rakkiyappan (Neurocomputing, 2009)

Exponential stability results for uncertain neutral systems with interval time-varying delays and Markovian jumping parameters. - Pagavathigounder Balasubramaniam; A. Manivannan 001; R. Rakkiyappan (Appl. Math. Comput., 2010)

On exponential stability results for fuzzy impulsive neural networks. - R. Rakkiyappan; Pagavathigounder Balasubramaniam (Fuzzy Sets Syst., 2010)

Global exponential stability for neutral-type BAM neural networks with time-varying delays. - Pagavathigounder Balasubramaniam; R. Rakkiyappan (Int. J. Comput. Math., 2010)

Global Passivity Analysis of Interval Neural Networks with Discrete and Distributed Delays of Neutral Type. - Pagavathigounder Balasubramaniam; Gnaneswaran Nagamani; R. Rakkiyappan (Neural Process. Lett., 2010)

State estimation for fuzzy cellular neural networks with time delay in the leakage term, discrete and unbounded distributed delays. - Pagavathigounder Balasubramaniam; M. Kalpana; R. Rakkiyappan (Comput. Math. Appl., 2011)

Existence and Global Asymptotic Stability of Fuzzy Cellular Neural Networks with Time Delay in the Leakage Term and Unbounded Distributed Delays. - Pagavathigounder Balasubramaniam; M. Kalpana; Rajan Rakkiyappan (Circuits Syst. Signal Process., 2011)

Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters. - Pagavathigounder Balasubramaniam; R. Rakkiyappan; R. Sathy (Expert Syst. Appl., 2011)

A delay decomposition approach to fuzzy Markovian jumping genetic regulatory networks with time-varying delays. - Pagavathigounder Balasubramaniam; R. Sathy; R. Rakkiyappan (Fuzzy Sets Syst., 2011)

Stability results for stochastic bidirectional associative memory neural networks with multiple discrete and distributed time-varying delays. - Xiaodi Li 001; Pagavathigounder Balasubramaniam; R. Rakkiyappan (Int. J. Comput. Math., 2011)

Delay dependent stability analysis of neutral systems with mixed time-varying delays and nonlinear perturbations. - R. Rakkiyappan; Pagavathigounder Balasubramaniam; Ramasamy Krishnasamy (J. Comput. Appl. Math., 2011)

Existence and global stability analysis of equilibrium of fuzzy cellular neural networks with time delay in the leakage term under impulsive perturbations. - Xiaodi Li 001; R. Rakkiyappan; P. Balasubramaniam 001 (J. Frankl. Inst., 2011)

Global asymptotic stability of BAM fuzzy cellular neural networks with time delay in the leakage term, discrete and unbounded distributed delays. - Pagavathigounder Balasubramaniam; M. Kalpana; R. Rakkiyappan (Math. Comput. Model., 2011)

Leakage Delays in T-S Fuzzy Cellular Neural Networks. - Pagavathigounder Balasubramaniam; Vembarasan Vaitheeswaran; R. Rakkiyappan (Neural Process. Lett., 2011)

LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties. - Pagavathigounder Balasubramaniam; Shanmugam Lakshmanan; Rajan Rakkiyappan (Int. J. Appl. Math. Comput. Sci., 2012)

Delay-dependent robust asymptotic state estimation of Takagi-Sugeno fuzzy Hopfield neural networks with mixed interval time-varying delays. - Pagavathigounder Balasubramaniam; Vembarasan Vaitheeswaran; R. Rakkiyappan (Expert Syst. Appl., 2012)

Global robust asymptotic stability analysis of uncertain switched Hopfield neural networks with time delay in the leakage term. - Pagavathigounder Balasubramaniam; Vembarasan Vaitheeswaran; R. Rakkiyappan (Neural Comput. Appl., 2012)

Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays. - Shanmugam Lakshmanan; Ju H. Park 001; Tae H. Lee; Ho Y. Jung; R. Rakkiyappan (Appl. Math. Comput., 2013)

Sampled-data state estimation for Markovian jumping fuzzy cellular neural networks with mode-dependent probabilistic time-varying delays. - R. Rakkiyappan; Natarajan Sakthivel; Ju H. Park 001; O. M. Kwon 001 (Appl. Math. Comput., 2013)

Impulsive controller design for exponential synchronization of chaotic neural networks with mixed delays. - Xiaodi Li 001; R. Rakkiyappan (Commun. Nonlinear Sci. Numer. Simul., 2013)

Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays. - R. Rakkiyappan; Shanmugam Lakshmanan; Pagavathigounder Balasubramaniam (Circuits Syst. Signal Process., 2013)

A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays. - Shanmugam Lakshmanan; Ju H. Park 001; Ho Y. Jung; O. M. Kwon 001; R. Rakkiyappan (Neurocomputing, 2013)

Effects of leakage time-varying delays in Markovian jump neural networks with impulse control. - R. Rakkiyappan; A. Chandrasekar 001; Shanmugam Lakshmanan; Ju H. Park 001; Ho Y. Jung (Neurocomputing, 2013)

Stationary oscillation of interval fuzzy cellular neural networks with mixed delays under impulsive perturbations. - Pagavathigounder Balasubramaniam; M. Kalpana; R. Rakkiyappan (Neural Comput. Appl., 2013)

Stability results for Takagi-Sugeno fuzzy uncertain BAM neural networks with time delays in the leakage term. - Xiaodi Li 001; R. Rakkiyappan (Neural Comput. Appl., 2013)

Dynamic analysis for high-order Hopfield neural networks with leakage delay and impulsive effects. - R. Rakkiyappan; Chandrasekar Pradeep; A. Vinodkumar; Fathalla A. Rihan (Neural Comput. Appl., 2013)

Delay-dependent stability analysis for a class of dynamical systems with leakage delay and nonlinear perturbations. - Xiaodi Li 001; Xilin Fu; R. Rakkiyappan (Appl. Math. Comput., 2014)

Improved stability criteria for neutral type Lur'e systems with time-varying delays. - Sivasamy Ramasamy; R. Rakkiyappan (Appl. Math. Lett., 2014)

State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory. - R. Rakkiyappan; A. Chandrasekar 001; Shanmugam Lakshmanan; Ju H. Park 001 (Complex., 2014)

Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control. - A. Chandrasekar 001; R. Rakkiyappan; Fathalla A. Rihan; Shanmugam Lakshmanan (Neurocomputing, 2014)

Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. - R. Rakkiyappan; A. Chandrasekar 001; Shanmugam Lakshmanan; Ju H. Park 001 (Neurocomputing, 2014)

Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays. - R. Rakkiyappan; K. Sivaranjani; G. Velmurugan (Neurocomputing, 2014)

Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control. - Quanxin Zhu; R. Rakkiyappan; A. Chandrasekar 001 (Neurocomputing, 2014)

Stability of stochastic neural networks of neutral type with Markovian jumping parameters: A delay-fractioning approach. - R. Rakkiyappan; Quanxin Zhu; A. Chandrasekar 001 (J. Frankl. Inst., 2014)

Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. - A. Chandrasekar 001; R. Rakkiyappan; Jinde Cao; Shanmugam Lakshmanan (Neural Networks, 2014)

LMI-based stability for singularly perturbed nonlinear impulsive differential systems with delays of small parameter. - Xiaodi Li 001; Jianhua Shen; Haydar Akça; R. Rakkiyappan (Appl. Math. Comput., 2015)

Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control. - R. Rakkiyappan; A. Chandrasekar 001; Shanmugam Lakshmanan; Ju H. Park 001 (Complex., 2015)

Cluster synchronization for T-S fuzzy complex networks using pinning control with probabilistic time-varying delays. - Rajan Rakkiyappan; Natarajan Sakthivel (Complex., 2015)

Asymptotic synchronization of continuous/discrete complex dynamical networks by optimal partitioning method. - Rajan Rakkiyappan; Rathinasamy Sasirekha (Complex., 2015)

Non-fragile synchronization control for complex networks with additive time-varying delays. - Natarajan Sakthivel; Rajan Rakkiyappan; Ju H. Park 001 (Complex., 2015)

Stochastic Sampled-Data Control for Exponential Synchronization of Markovian Jumping Complex Dynamical Networks with Mode-Dependent Time-Varying Coupling Delay. - R. Rakkiyappan; Natarajan Sakthivel (Circuits Syst. Signal Process., 2015)

Synchronization of Identical and Nonidentical Memristor-based Chaotic Systems Via Active Backstepping Control Technique. - R. Rakkiyappan; Sivasamy Ramasamy; Xiaodi Li 001 (Circuits Syst. Signal Process., 2015)

New delay-dependent stability criteria for switched Hopfield neural networks of neutral type with additive time-varying delay components. - Shanmugavel Dharani; Rajan Rakkiyappan; Jinde Cao (Neurocomputing, 2015)

Leader-following consensus of multi-agent systems via sampled-data control with randomly missing data. - R. Rakkiyappan; B. Kaviarasan 001; Jinde Cao (Neurocomputing, 2015)

Leader-following consensus for networked multi-teleoperator systems via stochastic sampled-data control. - R. Rakkiyappan; B. Kaviarasan 001; Ju H. Park 001 (Neurocomputing, 2015)

Pinning sampled-data control for synchronization of complex networks with probabilistic time-varying delays using quadratic convex approach. - R. Rakkiyappan; Natarajan Sakthivel (Neurocomputing, 2015)

Comments and further improvements on "Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays"[Neurocomputing 144 (2014) 391-407]. - R. Rakkiyappan; K. Sivaranjani; G. Velmurugan (Neurocomputing, 2015)

Multiple μ-stability analysis of complex-valued neural networks with unbounded time-varying delays. - R. Rakkiyappan; G. Velmurugan; Jinde Cao (Neurocomputing, 2015)

Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays. - Xiaodi Li 001; R. Rakkiyappan; G. Velmurugan (Inf. Sci., 2015)

Stochastic sampled-data H∞ synchronization of coupled neutral-type delay partial differential systems. - R. Rakkiyappan; Shanmugavel Dharani; Quanxin Zhu (J. Frankl. Inst., 2015)

Synchronization of singular Markovian jumping complex networks with additive time-varying delays via pinning control. - R. Rakkiyappan; B. Kaviarasan 001; Fathalla A. Rihan; Shanmugam Lakshmanan (J. Frankl. Inst., 2015)

Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach. - A. Chandrasekar 001; R. Rakkiyappan; Jinde Cao (Neural Networks, 2015)

Stochastic sampled-data control for synchronization of complex dynamical networks with control packet loss and additive time-varying delays. - R. Rakkiyappan; Natarajan Sakthivel; Jinde Cao (Neural Networks, 2015)

Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays. - G. Velmurugan; R. Rakkiyappan; Jinde Cao (Neural Networks, 2015)

Complete Stability Analysis of Complex-Valued Neural Networks with Time Delays and Impulses. - R. Rakkiyappan; G. Velmurugan; Xiaodi Li 001 (Neural Process. Lett., 2015)

Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays. - G. Velmurugan; R. Rakkiyappan; Shanmugam Lakshmanan (Neural Process. Lett., 2015)

Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays. - Rajan Rakkiyappan; A. Chandrasekar 001; Jinde Cao (IEEE Trans. Neural Networks Learn. Syst., 2015)

Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays. - R. Rakkiyappan; Jinde Cao; G. Velmurugan (IEEE Trans. Neural Networks Learn. Syst., 2015)

Synchronization of Neural Networks With Control Packet Loss and Time-Varying Delay via Stochastic Sampled-Data Controller. - Rajan Rakkiyappan; Shanmugavel Dharani; Jinde Cao (IEEE Trans. Neural Networks Learn. Syst., 2015)

Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives. - Rajivganthi Chinnathambi; Fathalla A. Rihan; Shanmugam Lakshmanan; Rajan Rakkiyappan; Muthukumar Palanisamy (Complex., 2016)

Robust stability analysis of stochastic neural networks with Markovian jumping parameters and probabilistic time-varying delays. - Chandrasekar Pradeep; Arunachalam Chandrasekar; Rangasamy Murugesu; Rajan Rakkiyappan (Complex., 2016)

Stability analysis of memristor-based complex-valued recurrent neural networks with time delays. - Rajan Rakkiyappan; Gandhi Velmurugan; Fathalla A. Rihan; Shanmugam Lakshmanan (Complex., 2016)

Pinning sampled-data synchronization of complex dynamical networks with Markovian jumping and mixed delays using multiple integral approach. - K. Sivaranjani; R. Rakkiyappan (Complex., 2016)

Sampled-Data (H_{ infty } ) Synchronization of Chaotic Lur'e Systems with Time Delay. - Jinde Cao; Sivasamy Ramasamy; R. Rakkiyappan (Circuits Syst. Signal Process., 2016)

Exponential stability results for fixed and random type impulsive Hopfield neural networks. - A. Vinodkumar; R. Rakkiyappan (Int. J. Comput. Sci. Math., 2016)

Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks. - A. Chandrasekar 001; R. Rakkiyappan (Neurocomputing, 2016)

Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions. - A. Chandrasekar 001; R. Rakkiyappan; Xiaodi Li 001 (Neurocomputing, 2016)

Synchronization and periodicity of coupled inertial memristive neural networks with supremums. - R. Rakkiyappan; E. Udhaya Kumari; A. Chandrasekar 001; Ramasamy Krishnasamy (Neurocomputing, 2016)

An improved stability criterion for generalized neural networks with additive time-varying delays. - R. Rakkiyappan; Sivasamy Ramasamy; Ju H. Park 001; Tae H. Lee (Neurocomputing, 2016)

Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays. - R. Rakkiyappan; A. Chandrasekar 001; S. Lakshmanan (Int. J. Syst. Sci., 2016)

Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control. - R. Rakkiyappan; Rathinasamy Sasirekha; Shanmugam Lakshmanan; Chee Peng Lim (J. Frankl. Inst., 2016)

H∞ state estimator design for discrete-time switched neural networks with multiple missing measurements and sojourn probabilities. - Rajan Rakkiyappan; Rathinasamy Sasirekha; Yanzheng Zhu; Lixian Zhang (J. Frankl. Inst., 2016)

Global dissipativity of memristor-based complex-valued neural networks with time-varying delays. - R. Rakkiyappan; G. Velmurugan; Xiaodi Li 001; Donal O'Regan (Neural Comput. Appl., 2016)

Analysis of global O(t-α) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays. - R. Rakkiyappan; R. Sivaranjani; G. Velmurugan; Jinde Cao (Neural Networks, 2016)

Finite-time synchronization of fractional-order memristor-based neural networks with time delays. - G. Velmurugan; R. Rakkiyappan; Jinde Cao (Neural Networks, 2016)

Exponential synchronization of Lur'e complex dynamical networks with uncertain inner coupling and pinning impulsive control. - R. Rakkiyappan; G. Velmurugan; J. Nicholas George; Rajendran Selvamani (Appl. Math. Comput., 2017)

Synchronization of nonlinear singularly perturbed complex networks with uncertain inner coupling via event triggered control. - K. Sivaranjani; R. Rakkiyappan; Jinde Cao; Ahmed Alsaedi (Appl. Math. Comput., 2017)

Exponential (H_{ infty } ) Synchronization of Lur'e Complex Dynamical Networks Using Pinning Sampled-Data Control. - R. Rakkiyappan; V. Preethi Latha; K. Sivaranjani (Circuits Syst. Signal Process., 2017)

Pinning sampled-data synchronization of coupled inertial neural networks with reaction-diffusion terms and time-varying delays. - Shanmugavel Dharani; R. Rakkiyappan; Ju H. Park 001 (Neurocomputing, 2017)

Non-weighted H∞ state estimation for discrete-time switched neural networks with persistent dwell time switching regularities based on Finsler's lemma. - R. Rakkiyappan; K. Maheswari; K. Sivaranjani (Neurocomputing, 2017)

Extended dissipativity state estimation for switched discrete-time complex dynamical networks with multiple communication channels: A sojourn probability dependent approach. - Rathinasamy Sasirekha; R. Rakkiyappan (Neurocomputing, 2017)

Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations. - K. Sivaranjani; R. Rakkiyappan; Shanmugam Lakshmanan; Chee Peng Lim (IMA J. Math. Control. Inf., 2017)

Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances. - Reza Mohajerpoor; Shanmugam Lakshmanan; Hamid Abdi; Rajan Rakkiyappan; Saeid Nahavandi; Ju H. Park 001 (J. Frankl. Inst., 2017)

Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with Markovian jumping and mixed delays using multiple integral approach. - R. Rakkiyappan; Shanmugavel Dharani (Neural Comput. Appl., 2017)

Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay. - G. Velmurugan; R. Rakkiyappan; Vembarasan Vaitheeswaran; Jinde Cao; Ahmed Alsaedi (Neural Networks, 2017)

Persistent impulsive effects on stability of functional differential equations with finite or infinite delay. - Xiaodi Li 001; Jianhua Shen; R. Rakkiyappan (Appl. Math. Comput., 2018)

LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: A non-fragile state estimation approach. - Chinnamuniyandi Maharajan; Rajan Rakkiyappan; Jinde Cao; Grienggrai Rajchakit; Zhengwen Tu; Ahmed Alsaedi (Appl. Math. Comput., 2018)

Comparison principle for impulsive functional differential equations with infinite delays and applications. - Xiaodi Li 001; Jianhua Shen; Haydar Akça; R. Rakkiyappan (Commun. Nonlinear Sci. Numer. Simul., 2018)

Applications of Delay Differential Equations in Biological Systems. - Fathalla A. Rihan; Cemil Tunç; S. H. Saker; Shanmugam Lakshmanan; R. Rakkiyappan (Complex., 2018)

Impulsive Cohen-Grossberg BAM neural networks with mixed time-delays: An exponential stability analysis issue. - Chinnamuniyandi Maharajan; R. Rakkiyappan; Jinde Cao; Grienggrai Rajchakit; Ahmed Alsaedi (Neurocomputing, 2018)

Stability analysis of nonlinear telerobotic systems with time-varying communication channel delays using general integral inequalities. - Rajaram Baranitha; R. Rakkiyappan; Reza Mohajerpoor; Saba Al-Wais (Inf. Sci., 2018)

A fractional-order model for Ebola virus infection with delayed immune response on heterogeneous complex networks. - V. Preethi Latha; Fathalla A. Rihan; R. Rakkiyappan; G. Velmurugan (J. Comput. Appl. Math., 2018)

Event triggered reliable synchronization of semi-Markovian jumping complex dynamical networks via generalized integral inequalities. - K. Sivaranjani; R. Rakkiyappan; Young Hoon Joo (J. Frankl. Inst., 2018)

Event-triggered H∞ state estimation for semi-Markov jumping discrete-time neural networks with quantization. - R. Rakkiyappan; K. Maheswari; G. Velmurugan; Ju H. Park 001 (Neural Networks, 2018)

Delayed state-feedback control for stabilization of neural networks with leakage delay. - Haitao Zhu; R. Rakkiyappan; Xiaodi Li 001 (Neural Networks, 2018)

Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication. - Shanmugam Lakshmanan; Mani Prakash; Chee Peng Lim; Rajan Rakkiyappan; Pagavathigounder Balasubramaniam; Saeid Nahavandi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dynamical analysis of antigen-driven T-cell infection model with multiple delays. - Mani Prakash; R. Rakkiyappan; A. Manivannan 001; Jinde Cao (Appl. Math. Comput., 2019)

A Fractional-Order Model for Zika Virus Infection with Multiple Delays. - R. Rakkiyappan; V. Preethi Latha; Fathalla A. Rihan (Complex., 2019)

Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection. - Samayan Narayanamoorthy; Selvaraj Geetha; R. Rakkiyappan; Young Hoon Joo (Expert Syst. Appl., 2019)

Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption. - Mani Prakash; Rajan Rakkiyappan; Shanmugam Lakshmanan; Young Hoon Joo (Inf. Sci., 2019)

An event-triggered synchronization of semi-Markov jump neural networks with time-varying delays based on generalized free-weighting-matrix approach. - Chandrasekar Pradeep; Yang Cao 003; Rangasamy Murugesu; R. Rakkiyappan (Math. Comput. Simul., 2019)

Exponential Synchronization of Inertial Memristor-Based Neural Networks with Time Delay Using Average Impulsive Interval Approach. - R. Rakkiyappan; D. Gayathri; G. Velmurugan; Jinde Cao (Neural Process. Lett., 2019)

Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model. - Mani Prakash; Rajan Rakkiyappan; Shanmugam Lakshmanan; Young Hoon Joo (IEEE Trans. Fuzzy Syst., 2019)

Almost periodic dynamics of memristive inertial neural networks with mixed delays. - Rajan Rakkiyappan; Gandhi Velmurugan; Premalatha Soundharajan; Young Hoon Joo (Inf. Sci., 2020)

Mittag-Leffler stability analysis of multiple equilibrium points in impulsive fractional-order quaternion-valued neural networks. - K. Udhayakumar 001; R. Rakkiyappan; Jinde Cao; Xuegang Tan (Frontiers Inf. Technol. Electron. Eng., 2020)

Adaptive Synchronization of Reaction-Diffusion Neural Networks and Its Application to Secure Communication. - Shanmugam Lakshmanan; Mani Prakash; Rajan Rakkiyappan; Young Hoon Joo (IEEE Trans. Cybern., 2020)

T-S Fuzzy Model-Based Single-Master Multislave Teleoperation Systems With Decentralized Communication Structure and Varying Time Delays. - Rajaram Baranitha; Rajan Rakkiyappan; Xiaodi Li 001 (IEEE Trans. Fuzzy Syst., 2020)

Quasi-Synchronization and Bifurcation Results on Fractional-Order Quaternion-Valued Neural Networks. - Udhayakumar Kandasamy; Xiaodi Li 001; Rajan Rakkiyappan (IEEE Trans. Neural Networks Learn. Syst., 2020)

Stabilization of stochastic delayed systems: Event-triggered impulsive control. - Dongxue Peng; Xiaodi Li 001; R. Rakkiyappan; Yanhui Ding (Appl. Math. Comput., 2021)

Mutiple ψ-type stability of fractional-order quaternion-valued neural networks. - K. Udhayakumar 001; R. Rakkiyappan; Xiaodi Li 001; Jinde Cao (Appl. Math. Comput., 2021)

Finite-time and fixed-time synchronization control of discontinuous fuzzy Cohen-Grossberg neural networks with uncertain external perturbations and mixed time delays. - Fanchao Kong; Rajan Rakkiyappan (Fuzzy Sets Syst., 2021)

Robust synchronisation control of discontinuous CGNNs with time-varying delays. - Fanchao Kong; Quanxin Zhu; Rajan Rakkiyappan (Int. J. Control, 2021)

Bilateral Teleoperation of Single-Master Multislave Systems With Semi-Markovian Jump Stochastic Interval Time-Varying Delayed Communication Channels. - Rajaram Baranitha; Reza Mohajerpoor; R. Rakkiyappan (IEEE Trans. Cybern., 2021)

Design of Observer-Based Event-Triggered Fuzzy ISMC for T-S Fuzzy Model and its Application to PMSG. - Mani Prakash; Rajan Rakkiyappan; Young Hoon Joo (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Fuzzy Sampled-Data Control for DFIG-Based Wind Turbine With Stochastic Actuator Failures. - V. Sharmila; R. Rakkiyappan; Young Hoon Joo (IEEE Trans. Syst. Man Cybern. Syst., 2021)

New Fixed-Time Stability Theorems for Delayed Fractional-Order Systems and Applications. - Udhayakumar Kandasamy; Fathalla A. Rihan; Rajan Rakkiyappan; Mahmoud M. El-Khouly (IEEE Access, 2022)

Complex probabilistic fuzzy set and their aggregation operators in group decision making extended to TOPSIS. - K. Janani; R. Rakkiyappan (Eng. Appl. Artif. Intell., 2022)

Complex Pythagorean fuzzy einstein aggregation operators in selecting the best breed of Horsegram. - K. Janani; Kumarasamy Pradeepa Veerakumari; Krishnan Vasanth; Rajan Rakkiyappan (Expert Syst. Appl., 2022)

Dynamic analysis of delayed neural networks: Event-triggered impulsive Halanay inequality approach. - Wenlu Liu; Xueyan Yang; Rajan Rakkiyappan; Xiaodi Li 001 (Neurocomputing, 2022)

Centralized and decentralized controller design for synchronization of coupled delayed inertial neural networks via reduced and non-reduced orders. - S. Shanmugasundaram; Ardak Kashkynbayev; K. Udhayakumar 001; R. Rakkiyappan (Neurocomputing, 2022)

Event-triggered impulsive control design for synchronization of inertial neural networks with time delays. - S. Shanmugasundaram; Udhayakumar Kandasamy; D. Gunasekaran; R. Rakkiyappan (Neurocomputing, 2022)

Projective Multi-Synchronization of Fractional-order Complex-valued Coupled Multi-stable Neural Networks with Impulsive Control. - K. Udhayakumar 001; R. Rakkiyappan; Fathalla A. Rihan; Santo Banerjee (Neurocomputing, 2022)

New finite-time stability for fractional-order time-varying time-delay linear systems: A Lyapunov approach. - Gokul P; R. Rakkiyappan (J. Frankl. Inst., 2022)

LMI based sampled-data controller for synchronization on the time-delay Darcy-Brinkman model. - R. Surendar; M. Muthtamilselvan; R. Rakkiyappan (J. Frankl. Inst., 2022)

Fixed-time synchronization of delayed impulsive inertial neural networks with discontinuous activation functions via indefinite LKF method. - K. Udhayakumar 001; S. Shanmugasundaram; K. Janani; S. Kathiresan; R. Rakkiyappan (J. Frankl. Inst., 2022)

Memory sampled data control for switched-type neural networks and its application in image secure communications. - Yang Cao 003; K. Udhayakumar 001; Kumarasamy Pradeepa Veerakumari; R. Rakkiyappan (Math. Comput. Simul., 2022)

Impulsive sampled-data controller design for synchronization of delayed T-S fuzzy Hindmarsh-Rose neuron model. - Prasath Nirvin; Fathalla A. Rihan; Rajan Rakkiyappan; Chandrasekar Pradeep (Math. Comput. Simul., 2022)

Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays. - K. Udhayakumar 001; Fathalla A. Rihan; R. Rakkiyappan; Jinde Cao (Neural Networks, 2022)

Corrigendum to "Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays" [Neural Networks 145 (2022) 319-330]. - K. Udhayakumar 001; Fathalla A. Rihan; R. Rakkiyappan; Jinde Cao (Neural Networks, 2022)

Hidden Markov-Model-Based Control Design for Multilateral Teleoperation System With Asymmetric Time-Varying Delays. - R. Rakkiyappan; Rajaram Baranitha; Zhigang Zeng (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Stability and stabilization analysis of T-S fuzzy systems with distributed time-delay using state-feedback control. - G. Bhuvaneshwari; Mani Prakash; R. Rakkiyappan; A. Manivannan 001 (Math. Comput. Simul., 2023)

Memory Sampled-Data Controller Design for Interval Type-2 Fuzzy Systems via Polynomial-Type Lyapunov-Krasovskii Functional. - V. Sharmila; R. Rakkiyappan (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Identifying native endemic plant species in Nilgiris using the interval type 2 q-rung orthopair fuzzy Bonferroni mean operator. - K. Janani; A. Vignesh; Kumarasamy Pradeepa Veerakumari; Krishnan Vasanth; R. Rakkiyappan (Comput. Appl. Math., 2023)

Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators. - K. Janani; S. S. Mohanrasu; Chee Peng Lim; Balachandran Manavalan; R. Rakkiyappan (Appl. Soft Comput., 2023)

A Comprehensive Review of Continuous-/Discontinuous-Time Fractional-Order Multidimensional Neural Networks. - Jinde Cao; Udhayakumar Kandasamy; R. Rakkiyappan; Xiaodi Li 001; Jianquan Lu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Ensemble feature selection using q-rung orthopair hesitant fuzzy Hamacher, Einstein and Dombi Aggregation operators. - S. Kavitha 004; K. Janani; S. S. Mohanrasu; J. Satheesh Kumar; T. Amudha; R. Rakkiyappan (Appl. Soft Comput., 2024)

HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach. - Nhat Truong Pham; Ying Zhang; Rajan Rakkiyappan; Balachandran Manavalan (Comput. Biol. Medicine, 2024)

Event-triggered-based fixed/preassigned-time synchronization control of second-order neural networks with distributed delays. - Guodong Zhang 001; Rajan Rakkiyappan; Leimin Wang (Commun. Nonlinear Sci. Numer. Simul., 2024)

Finite-time contractive stability for fractional-order nonlinear systems with delayed impulses: Applications to neural networks. - P. Gokul; G. Soundararajan; Ardak Kashkynbayev; R. Rakkiyappan (Neurocomputing, 2024)

International Conference on Mathematical Modeling 2023. - Jinde Cao; S. Saravanan 001; Ardak Kashkynbayev; M. Muthtamilselvan; R. Rakkiyappan (Math. Comput. Simul., 2024)

Minkowski distance measure in fuzzy PROMETHEE for ensemble feature selection. - K. Janani; S. S. Mohanrasu; Ardak Kashkynbayev; R. Rakkiyappan (Math. Comput. Simul., 2024)

A COPRAS-based Approach to Multi-Label Feature Selection for Text Classification. - S. S. Mohanrasu; K. Janani; R. Rakkiyappan (Math. Comput. Simul., 2024)

Finite-time/fixed-time synchronization of memristive shunting inhibitory cellular neural networks via sliding mode control. - Madina Otkel; Ganesan Soundara Rajan; Rajan Rakkiyappan; Ardak Kashkynbayev (Math. Comput. Simul., 2024)

Stabilization of Takagi-Sugeno fuzzy Hidden Markov Jump Systems with memory sampled-data control. - R. Rakkiyappan; V. Sharmila; K. Janani; Ardak Kashkynbayev (Math. Comput. Simul., 2024)

Fixed-time synchronization of delayed multiple inertial neural network with reaction-diffusion terms under cyber-physical attacks using distributed control and its application to multi-image encryption. - P. Kowsalya; S. Kathiresan; Ardak Kashkynbayev; R. Rakkiyappan (Neural Networks, 2024)

Sampled-data output tracking control based on T-S fuzzy model for cancer-tumor-immune systems. - Ardak Kashkynbayev; R. Rakkiyappan (Commun. Nonlinear Sci. Numer. Simul., 2024)

Finite-Time Stability of Fractional-Order Discontinuous Nonlinear Systems With State-Dependent Delayed Impulses. - Gokul Palanisamy; Ardak Kashkynbayev; Rajan Rakkiyappan (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach. - Sasikala Subramaniam; Chee Peng Lim; Rajan Rakkiyappan; Mani Prakash (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Finite-Time Synchronization of Fractional-Order Nonlinear Systems with State-Dependent Delayed Impulse Control. - Gokul P; S. S. Mohanrasu; Ardak Kashkynbayev; R. Rakkiyappan (Int. J. Bifurc. Chaos, 2024)

Prescribed-Time Quantified Intermittent Control for Stochastic FCNN and a Novel Cryptosystem. - Kavitha Ayyappan; Mani Prakash; Ardak Kashkynbayev; Rajan Rakkiyappan (IEEE Trans. Fuzzy Syst., 2024)

Chaotic synchronization and fractal interpolation-based image encryption: exploring event-triggered impulsive control in variable-order fractional lur'e systems. - T. M. C. Priyanka; K. Udhayakumar 001; S. S. Mohanrasu; A. Gowrisankar; R. Rakkiyappan (Multim. Tools Appl., 2024)

Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan study. - Nhat Truong Pham; Jinsol Ko; Masaud Shah; Rajan Rakkiyappan; Hyun Goo Woo; Balachandran Manavalan (Comput. Biol. Medicine, 2025)

REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare dataset. - Le Thi Phan; Rajan Rakkiyappan; Balachandran Manavalan (Comput. Biol. Medicine, 2025)

Finite-time contractive stabilization for fractional-order switched systems via event-triggered impulse control. - P. Gokul; Ardak Kashkynbayev; Mani Prakash; Rajan Rakkiyappan (Commun. Nonlinear Sci. Numer. Simul., 2025)

Pinning synchronization of delayed inertial neural networks with reaction-diffusion terms under stochastic deception attacks using Markov switched control and its application to image encryption. - P. Kowsalya; S. Kathiresan; Ardak Kashkynbayev; R. Rakkiyappan (Commun. Nonlinear Sci. Numer. Simul., 2025)

Fractional derivative of Hermite fractal splines on the fractional-order delayed neural networks synchronization. - S. S. Mohanrasu; T. M. C. Priyanka; A. Gowrisankar; Ardak Kashkynbayev; K. Udhayakumar 001; R. Rakkiyappan (Commun. Nonlinear Sci. Numer. Simul., 2025)

Ensemble feature selection via CoCoSo method extended to interval-valued intuitionistic fuzzy environment. - K. Janani; S. S. Mohanrasu; Ardak Kashkynbayev; R. Rakkiyappan (Math. Comput. Simul., 2025)

Ensemble feature selection using q-rung orthopair hesitant fuzzy multi criteria decision making extended to VIKOR. - S. Kavitha 004; J. Satheeshkumar 001; K. Janani; T. Amudha; R. Rakkiyappan (J. Exp. Theor. Artif. Intell., 2025)

Pinning exponential synchronization of coupled neural networks with delay under stochastic deception attacks using the Markov switched control. - Rubasri S; S. Kathiresan; Ardak Kashkynbayev; R. Rakkiyappan (Math. Comput. Simul., 2026)