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ORCIDM. Syed Ali 0001
Muhamed Syed Ali – Muhammed Syed Ali
Person information
- affiliation: Thiruvalluvar University, Department of Mathematics, Vellore, India
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2020 – today
- 2024
[j119]Saravanan Shanmugam, M. Syed Ali
, Govindasamy Narayanan, Mohamed Rhaima:
Finite-Time Boundedness of Switched Time-Varying Delay Systems With Actuator Saturation: Applications in Water Pollution Control. IEEE Access 12: 11700-11710 (2024)- [j118]Govindasamy Narayanan, M. Syed Ali, Rajagopal Karthikeyan, Grienggrai Rajchakit, Ganesh Kumar Thakur, Sudesh Kumar Garg:
Global Mittag-Leffler boundedness of nabla discrete-time fractional-order fuzzy complex-valued molecular models of mRNA and protein in regulatory mechanisms. Commun. Nonlinear Sci. Numer. Simul. 129: 107669 (2024) - [j117]Saravanan Shanmugam, Govindasamy Narayanan, Rajagopal Karthikeyan, M. Syed Ali:
Finite-time synchronization of complex-valued neural networks with reaction-diffusion terms: an adaptive intermittent control approach. Neural Comput. Appl. 36(13): 7389-7404 (2024) - [j116]V. Gokulakrishnan, R. Srinivasan, M. Syed Ali, Grienggrai Rajchakit, Bandana Priya:
Novel LMI-Based Boundary Stabilization of Stochastic Delayed Reaction-Diffusion Cohen-Grossberg BAM Neural Networks with Impulsive Effects. Neural Process. Lett. 56(2): 76 (2024) - [j115]S. Ravi Chandra, S. Padmanabhan, V. Umesha, M. Syed Ali, Grienggrai Rajchakit, Anuwat Jirawattanapanit:
New Insights on Bidirectional Associative Memory Neural Networks with Leakage Delay Components and Time-Varying Delays Using Sampled-Data Control. Neural Process. Lett. 56(2): 94 (2024) - [j114]M. Mubeen Tajudeen, M. Syed Ali, R. Perumal, Hamed H. Alsulami, Bashir Ahmad:
Observer-based security control for Markov jump systems under hybrid cyber-attacks and its application via event-triggered scheme. Soft Comput. 28(6): 5155-5171 (2024) - 2023
- [j113]Govindasamy Narayanan, M. Syed Ali, Grienggrai Rajchakit, Anuwat Jirawattanapanit, Bandana Priya:
Stability analysis for Nabla discrete fractional-order of Glucose-Insulin Regulatory System on diabetes mellitus with Mittag-Leffler kernel. Biomed. Signal Process. Control. 80(Part): 104295 (2023) - [j112]Govindasamy Narayanan, M. Syed Ali, Rajagopal Karthikeyan, Grienggrai Rajchakit, Anuwat Jirawattanapanit:
Impulsive control strategies of mRNA and protein dynamics on fractional-order genetic regulatory networks with actuator saturation and its oscillations in repressilator model. Biomed. Signal Process. Control. 82: 104576 (2023) - [j111]V. Gokulakrishnan, R. Srinivasan, M. Syed Ali, Grienggrai Rajchakit:
Finite-time guaranteed cost control for stochastic nonlinear switched systems with time-varying delays and reaction-diffusion. Int. J. Comput. Math. 100(5): 1031-1051 (2023) - [j110]V. Gokulakrishnan, R. Srinivasan, M. Syed Ali, Grienggrai Rajchakit, Ganesh Kumar Thakur:
Novel LMI-based adaptive boundary synchronisation of fractional-order fuzzy reaction-diffusion BAM neural networks with leakage delay. Int. J. Syst. Sci. 54(16): 2975-2998 (2023) - [j109]R. Suresh, M. Syed Ali, Sumit Saroha:
Global exponential stability of memristor based uncertain neural networks with time-varying delays via Lagrange sense. J. Exp. Theor. Artif. Intell. 35(2): 275-288 (2023) - [j108]Govindasamy Narayanan, M. Syed Ali, Hamed H. Alsulami, Tareq Saeed, Bashir Ahmad:
Synchronization of T-S Fuzzy Fractional-Order Discrete-Time Complex-Valued Molecular Models of mRNA and Protein in Regulatory Mechanisms with Leakage Effects. Neural Process. Lett. 55(3): 3305-3331 (2023) - [j107]Govindasamy Narayanan, M. Syed Ali, Quanxin Zhu, Bandana Priya, Ganesh Kumar Thakur:
Fuzzy Observer-Based Consensus Tracking Control for Fractional-Order Multi-Agent Systems Under Cyber-Attacks and Its Application to Electronic Circuits. IEEE Trans. Netw. Sci. Eng. 10(2): 698-708 (2023) - [j106]Govindasamy Narayanan, M. Syed Ali, Young Hoon Joo, R. Perumal, Bashir Ahmad, Hamed H. Alsulami:
Robust Adaptive Fractional Sliding-Mode Controller Design for Mittag-Leffler Synchronization of Fractional-Order PMSG-Based Wind Turbine System. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7646-7655 (2023) - 2022
- [j105]Govindasamy Narayanan, G. Muhiuddin, M. Syed Ali, Ahmed A. Zaki Diab, Jehad F. Al-Amri, H. I. Abdul-Ghaffar:
Impulsive Synchronization Control Mechanism for Fractional-Order Complex-Valued Reaction-Diffusion Systems With Sampled-Data Control: Its Application to Image Encryption. IEEE Access 10: 83620-83635 (2022) - [j104]Govindasamy Narayanan, M. Syed Ali, Hamed H. Alsulami, Bashir Ahmad, Juan J. Trujillo:
A hybrid impulsive and sampled-data control for fractional-order delayed reaction-diffusion system of mRNA and protein in regulatory mechanisms. Commun. Nonlinear Sci. Numer. Simul. 111: 106374 (2022) - [j103]M. Mubeen Tajudeen, M. Syed Ali, Syeda Asma Kauser, Khanyaluck Subkrajang, Anuwat Jirawattanapanit, Grienggrai Rajchakit:
Adaptive Event-Triggered Control for Complex Dynamical Network with Random Coupling Delay under Stochastic Deception Attacks. Complex. 2022: 8761612:1-8761612:12 (2022) - [j102]Ganesh Kumar Thakur, M. Syed Ali, Bandana Priya, V. Gokulakrishnan, Syeda Asma Kauser:
Impulsive effects on stochastic bidirectional associative memory neural networks with reaction-diffusion and leakage delays. Int. J. Comput. Math. 99(8): 1669-1686 (2022) - [j101]Govindasamy Narayanan, M. Syed Ali, Hamed H. Alsulami, Gani Tr. Stamov, Ivanka M. Stamova, Bashir Ahmad:
Impulsive security control for fractional-order delayed multi-agent systems with uncertain parameters and switching topology under DoS attack. Inf. Sci. 618: 169-190 (2022) - [j100]Nallappan Gunasekaran, M. Syed Ali, Sabri Arik, H. I. Abdul Ghaffar, Ahmed A. Zaki Diab:
Finite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal. Neural Networks 149: 137-145 (2022) - [j99]Ramasamy Saravanakumar, M. Syed Ali:
Extended Dissipative Criteria for Generalized Markovian Jump Neural Networks Including Asynchronous Mode-Dependent Delayed States. Neural Process. Lett. 54(3): 1623-1645 (2022) - [j98]M. Syed Ali, Govindasamy Narayanan, Saeid Nahavandi, Jin-Liang Wang, Jinde Cao:
Global Dissipativity Analysis and Stability Analysis for Fractional-Order Quaternion-Valued Neural Networks With Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4046-4056 (2022) - 2021
- [j97]Govindasamy Narayanan, M. Syed Ali, Md Irshad Alam, Grienggrai Rajchakit, Nattakan Boonsatit, Pankaj Kumar, Porpattama Hammachukiattikul:
Adaptive Fuzzy Feedback Controller Design for Finite-Time Mittag-Leffler Synchronization of Fractional-Order Quaternion-Valued Reaction-Diffusion Fuzzy Molecular Modeling of Delayed Neural Networks. IEEE Access 9: 130862-130883 (2021) - [j96]Shanmugam Saravanan, M. Syed Ali, Grienggrai Rajchakit, Bussakorn Hammachukiattikul, Bandana Priya, Ganesh Kumar Thakur:
Finite-Time Stability Analysis of Switched Genetic Regulatory Networks with Time-Varying Delays via Wirtinger's Integral Inequality. Complex. 2021: 9540548:1-9540548:21 (2021) - [j95]M. Syed Ali, M. Usha, O. M. Kwon, Nallappan Gunasekaran, Ganesh Kumar Thakur:
ℋ∞/passive non-fragile synchronisation of Markovian jump stochastic complex dynamical networks with time-varying delays. Int. J. Syst. Sci. 52(7): 1270-1283 (2021) - [j94]M. Syed Ali, R. Agalya, Banadana Priya, Ganesh Kumar Thakur, Vineet Shekher:
Stability analysis of quasi one-sided Lipschitz non-linear multi-agent system via sampled data control subject to directed switching topology. IMA J. Math. Control. Inf. 38(3): 783-793 (2021) - [j93]R. Vadivel, M. Syed Ali, Young Hoon Joo:
Robust H∞ performance for discrete time T-S fuzzy switched memristive stochasticneural networks with mixed time-varying delays. J. Exp. Theor. Artif. Intell. 33(1): 79-107 (2021) - [j92]R. Vadivel, Porpattama Hammachukiattikul, Grienggrai Rajchakit, M. Syed Ali, Bundit Unyong:
Finite-time event-triggered approach for recurrent neural networks with leakage term and its application. Math. Comput. Simul. 182: 765-790 (2021) - [j91]M. Syed Ali, Govindasamy Narayanan, Sumit Saroha, Bandana Priya, Ganesh Kumar Thakur:
Finite-time stability analysis of fractional-order memristive fuzzy cellular neural networks with time delay and leakage term. Math. Comput. Simul. 185: 468-485 (2021) - [j90]M. Syed Ali, R. Agalya, Zeynep Orman, Sabri Arik:
Leader-Following Consensus of Non-linear Multi-agent Systems with Interval Time-Varying Delay via Impulsive Control. Neural Process. Lett. 53(1): 69-83 (2021) - [j89]Nallappan Gunasekaran, M. Syed Ali:
Design of Stochastic Passivity and Passification for Delayed BAM Neural Networks with Markov Jump Parameters via Non-uniform Sampled-Data Control. Neural Process. Lett. 53(1): 391-404 (2021) - [j88]M. Syed Ali, M. Hymavathi:
Synchronization of Fractional Order Neutral Type Fuzzy Cellular Neural Networks with Discrete and Distributed Delays via State Feedback Control. Neural Process. Lett. 53(2): 929-957 (2021) - [c2]Govindasamy Narayanan, M. Syed Ali, Shahanawaj Ahamad:
Cyber secure consensus of discrete-time fractional-order multi-agent systems with distributed delayed control against attacks. SMC 2021: 2191-2196 - 2020
- [j87]M. Syed Ali, M. Hymavathi, Grienggrai Rajchakit, Sumit Saroha, L. Palanisamy, Porpattama Hammachukiattikul:
Synchronization of Fractional Order Fuzzy BAM Neural Networks With Time Varying Delays and Reaction Diffusion Terms. IEEE Access 8: 186551-186571 (2020) - [j86]M. Syed Ali, Govindasamy Narayanan, Vineet Shekher, Hamed H. Alsulami, Tareq Saeed:
Dynamic stability analysis of stochastic fractional-order memristor fuzzy BAM neural networks with delay and leakage terms. Appl. Math. Comput. 369 (2020) - [j85]M. Syed Ali, Govindasamy Narayanan, Vineet Shekher, Ahmed Alsaedi, Bashir Ahmad:
Global Mittag-Leffler stability analysis of impulsive fractional-order complex-valued BAM neural networks with time varying delays. Commun. Nonlinear Sci. Numer. Simul. 83: 105088 (2020) - [j84]J. Yogambigai, M. Syed Ali, Hamed H. Alsulami, Mohammed Sh. Alhodaly:
Impulsive and pinning control synchronization of Markovian jumping complex dynamical networks with hybrid coupling and additive interval time-varying delays. Commun. Nonlinear Sci. Numer. Simul. 85: 105215 (2020) - [j83]S. Saravanan, M. Syed Ali, Hamed H. Alsulami, Mohammed Sh. Alhodaly:
Robust H∞ filtering for finite-time boundedness of Markovian jump system with distributed time-varying delays. Int. J. Syst. Sci. 51(2): 368-380 (2020) - [j82]Ahmed Alsaedi, M. Usha, M. Syed Ali, Bashir Ahmad:
Finite-time synchronization of sampled-data Markovian jump complex dynamical networks with additive time-varying delays based on dissipative theory. J. Comput. Appl. Math. 368 (2020) - [j81]R. Vadivel, M. Syed Ali, Young Hoon Joo:
Event-triggered H∞ synchronization for switched discrete time delayed recurrent neural networks with actuator constraints and nonlinear perturbations. J. Frankl. Inst. 357(7): 4079-4108 (2020) - [j80]R. Vadivel, M. Syed Ali, Young Hoon Joo:
Drive-response synchronization of uncertain Markov jump generalized neural networks with interval time varying delays via decentralized event-triggered communication scheme. J. Frankl. Inst. 357(11): 6824-6857 (2020) - [j79]Emel Arslan, Govindasamy Narayanan, M. Syed Ali, Sabri Arik, Sumit Saroha:
Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays. Neural Networks 130: 60-74 (2020) - [j78]M. Syed Ali, Govindasamy Narayanan, Zeynep Orman, Vineet Shekher, Sabri Arik:
Finite Time Stability Analysis of Fractional-Order Complex-Valued Memristive Neural Networks with Proportional Delays. Neural Process. Lett. 51(1): 407-426 (2020) - [j77]Nallappan Gunasekaran, M. Syed Ali, S. Pavithra:
Finite-Time L∞ Performance State Estimation of Recurrent Neural Networks with Sampled-Data Signals. Neural Process. Lett. 51(2): 1379-1392 (2020) - [j76]M. Syed Ali, M. Usha, Ahmed Alsaedi, Bashir Ahmad:
Synchronization of Stochastic Complex Dynamical Networks with Mixed Time-Varying Coupling Delays. Neural Process. Lett. 52(2): 1233-1250 (2020) - [j75]M. Syed Ali, R. Vadivel, Ahmed Alsaedi, Bashir Ahmad:
Extended dissipativity and event-triggered synchronization for T-S fuzzy Markovian jumping delayed stochastic neural networks with leakage delays via fault-tolerant control. Soft Comput. 24(5): 3675-3694 (2020)
2010 – 2019
- 2019
- [j74]M. Syed Ali, Govindasamy Narayanan, Selcuk Sevgen, Vineet Shekher, Sabri Arik:
Global stability analysis of fractional-order fuzzy BAM neural networks with time delay and impulsive effects. Commun. Nonlinear Sci. Numer. Simul. 78: 104853 (2019) - [j73]M. Syed Ali, M. Hymavathi, Sibel Senan, Vineet Shekher, Sabri Arik:
Global asymptotic synchronization of impulsive fractional-order complex-valued memristor-based neural networks with time varying delays. Commun. Nonlinear Sci. Numer. Simul. 78: 104869 (2019) - [j72]Palani Baskar, S. Padmanabhan, M. Syed Ali:
Novel delay-dependent stability condition for mixed delayed stochastic neural networks with leakage delay signals. Int. J. Comput. Math. 96(6): 1107-1120 (2019) - [j71]M. Syed Ali, R. Vadivel, R. Saravanakumar:
Event-triggered state estimation for Markovian jumping impulsive neural networks with interval time-varying delays. Int. J. Control 92(2): 270-290 (2019) - [j70]M. Syed Ali, M. Usha, Jinde Cao, Guoping Lu:
Synchronisation analysis for stochastic T-S fuzzy complex networks with coupling delay. Int. J. Syst. Sci. 50(3): 585-598 (2019) - [j69]M. Syed Ali, R. Vadivel, O. M. Kwon:
Decentralised event-triggered impulsive synchronisation for semi-Markovian jump delayed neural networks with leakage delay and randomly occurring uncertainties. Int. J. Syst. Sci. 50(8): 1636-1660 (2019) - [j68]Nallappan Gunasekaran, Ramasamy Saravanakumar, M. Syed Ali, Quanxin Zhu:
Exponential sampled-data control for T-S fuzzy systems: application to Chua's circuit. Int. J. Syst. Sci. 50(16): 2979-2992 (2019) - [j67]M. Syed Ali, J. Yogambigai:
Extended dissipative synchronization of complex dynamical networks with additive time-varying delay and discrete-time information. J. Comput. Appl. Math. 348: 328-341 (2019) - [j66]M. Syed Ali, J. Yogambigai, S. Saravanan, S. Elakkia:
Stochastic stability of neutral-type Markovian-jumping BAM neural networks with time varying delays. J. Comput. Appl. Math. 349: 142-156 (2019) - [j65]M. Syed Ali, L. Palanisamy, J. Yogambigai, Linshan Wang:
Passivity-based synchronization of Markovian jump complex dynamical networks with time-varying delays, parameter uncertainties, reaction-diffusion terms, and sampled-data control. J. Comput. Appl. Math. 352: 79-92 (2019) - [j64]R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo:
Exponential dissipativity criteria for generalized BAM neural networks with variable delays. Neural Comput. Appl. 31(7): 2717-2726 (2019) - [j63]M. Syed Ali, M. Usha, Zeynep Orman, Sabri Arik:
Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control. Neural Networks 114: 28-37 (2019) - [j62]M. Syed Ali, J. Yogambigai:
Synchronization Criterion of Complex Dynamical Networks with Both Leakage Delay and Coupling Delay on Time Scales. Neural Process. Lett. 49(2): 453-466 (2019) - [j61]S. Saravanan, M. Syed Ali, R. Saravanakumar:
Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks. Neural Process. Lett. 49(2): 573-591 (2019) - [j60]M. Syed Ali, R. Vadivel, O. M. Kwon, Kadarkarai Murugan:
Event Triggered Finite Time H∞ Boundedness of Uncertain Markov Jump Neural Networks with Distributed Time Varying Delays. Neural Process. Lett. 49(3): 1649-1680 (2019) - [j59]M. Syed Ali, J. Yogambigai, Faris Alzahrani:
Robust H∞ Filtering of Stochastic Switched Complex Dynamical Networks with Parameter Uncertainties, Disturbances, and Time-Varying Delays. Neural Process. Lett. 50(1): 227-245 (2019) - [j58]M. Syed Ali, Nallappan Gunasekaran, Young Hoon Joo:
Sampled-Data State Estimation of Neutral Type Neural Networks with Mixed Time-Varying Delays. Neural Process. Lett. 50(1): 357-378 (2019) - 2018
- [j57]M. Syed Ali, J. Yogambigai:
Passivity-based synchronization of stochastic switched complex dynamical networks with additive time-varying delays via impulsive control. Neurocomputing 273: 209-221 (2018) - [j56]M. Syed Ali, S. Saravanan:
Finite-time stability for memristor based switched neural networks with time-varying delays via average dwell time approach. Neurocomputing 275: 1637-1649 (2018) - [j55]S. Saravanan, V. Umesha, M. Syed Ali, S. Padmanabhan:
Exponential passivity for uncertain neural networks with time-varying delays based on weighted integral inequalities. Neurocomputing 314: 429-436 (2018) - [j54]M. Syed Ali, J. Yogambigai, O. M. Kwon:
Finite-time robust passive control for a class of switched reaction-diffusion stochastic complex dynamical networks with coupling delays and impulsive control. Int. J. Syst. Sci. 49(4): 718-735 (2018) - [j53]M. Syed Ali, Quanxin Zhu, S. Pavithra, Nallappan Gunasekaran:
A study on ⟨(Q, S, R)-γ⟩-dissipative synchronisation of coupled reaction-diffusion neural networks with time-varying delays. Int. J. Syst. Sci. 49(4): 755-765 (2018) - [j52]M. Syed Ali, Nallappan Gunasekaran, R. Agalya, Young Hoon Joo:
Non-fragile synchronisation of mixed delayed neural networks with randomly occurring controller gain fluctuations. Int. J. Syst. Sci. 49(16): 3354-3364 (2018) - [j51]M. Syed Ali, Nallappan Gunasekaran:
Sampled-data state estimation of Markovian jump static neural networks with interval time-varying delays. J. Comput. Appl. Math. 343: 217-229 (2018) - [j50]Neyir Ozcan, M. Syed Ali, J. Yogambigai, Quanxin Zhu, Sabri Arik:
Robust synchronization of uncertain Markovian jump complex dynamical networks with time-varying delays and reaction-diffusion terms via sampled-data control. J. Frankl. Inst. 355(3): 1192-1216 (2018) - [j49]M. Syed Ali, S. Saravanan:
Finite-time L2-gain analysis for switched neural networks with time-varying delay. Neural Comput. Appl. 29(4): 975-984 (2018) - [j48]M. Syed Ali, Nallappan Gunasekaran, O. M. Kwon:
Delay-dependent ℋ∞ performance state estimation of static delayed neural networks using sampled-data control. Neural Comput. Appl. 30(2): 539-550 (2018) - [j47]M. Syed Ali, Nallappan Gunasekaran, R. Saravanakumar:
Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control. Neural Comput. Appl. 30(2): 595-605 (2018) - [j46]R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Zhengrong Xiang, Young Hoon Joo:
Robust extended dissipativity criteria for discrete-time uncertain neural networks with time-varying delays. Neural Comput. Appl. 30(12): 3893-3904 (2018) - [j45]M. Syed Ali, R. Vadivel:
Decentralized Event-Triggered Exponential Stability for Uncertain Delayed Genetic Regulatory Networks with Markov Jump Parameters and Distributed Delays. Neural Process. Lett. 47(3): 1219-1252 (2018) - [j44]M. Syed Ali, Nallappan Gunasekaran, Choon Ki Ahn, Peng Shi:
Sampled-Data Stabilization for Fuzzy Genetic Regulatory Networks with Leakage Delays. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 271-285 (2018) - 2017
- [j43]M. Syed Ali, Nallappan Gunasekaran, Quanxin Zhu:
State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control. Fuzzy Sets Syst. 306: 87-104 (2017) - [j42]Eylem Yücel, M. Syed Ali, Nallappan Gunasekaran, Sabri Arik:
Sampled-data filtering of Takagi-Sugeno fuzzy neural networks with interval time-varying delays. Fuzzy Sets Syst. 316: 69-81 (2017) - [j41]M. Syed Ali, Nallappan Gunasekaran, M. Esther Rani:
Robust stability of hopfield delayed neural networks via an augmented L-K functional. Neurocomputing 234: 198-204 (2017) - [j40]R. Saravanakumar, M. Syed Ali, Hamid Reza Karimi:
Robust H∞ control of uncertain stochastic Markovian jump systems with mixed time-varying delays. Int. J. Syst. Sci. 48(4): 862-872 (2017) - [j39]R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo:
Extended dissipativity of generalised neural networks including time delays. Int. J. Syst. Sci. 48(11): 2311-2320 (2017) - [j38]M. Syed Ali, Nallappan Gunasekaran, B. Aruna:
Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach. Int. J. Syst. Sci. 48(13): 2794-2810 (2017) - [j37]M. Syed Ali, S. Saravanan, Quanxin Zhu:
Finite-time stability of neutral-type neural networks with random time-varying delays. Int. J. Syst. Sci. 48(15): 3279-3295 (2017) - [j36]M. Syed Ali, R. Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi:
Stochastic H∞ filtering for neural networks with leakage delay and mixed time-varying delays. Inf. Sci. 388: 118-134 (2017) - [j35]M. Syed Ali, J. Yogambigai:
Finite-time robust stochastic synchronization of uncertain Markovian complex dynamical networks with mixed time-varying delays and reaction-diffusion terms via impulsive control. J. Frankl. Inst. 354(5): 2415-2436 (2017) - [j34]M. Syed Ali, S. Saravanan, Quanxin Zhu:
Non-fragile finite-time H∞ state estimation of neural networks with distributed time-varying delay. J. Frankl. Inst. 354(16): 7566-7584 (2017) - [j33]M. Syed Ali, Pagavathigounder Balasubramaniam, Quanxin Zhu:
Stability of stochastic fuzzy BAM neural networks with discrete and distributed time-varying delays. Int. J. Mach. Learn. Cybern. 8(1): 263-273 (2017) - [j32]Sibel Senan, M. Syed Ali, R. Vadivel, Sabri Arik:
Decentralized event-triggered synchronization of uncertain Markovian jumping neutral-type neural networks with mixed delays. Neural Networks 86: 32-41 (2017) - [j31]Emel Arslan, R. Vadivel, M. Syed Ali, Sabri Arik:
Event-triggered H∞ filtering for delayed neural networks via sampled-data. Neural Networks 91: 11-21 (2017) - [j30]Emel Arslan, M. Syed Ali, S. Saravanan:
Finite-Time Stability of Stochastic Cohen-Grossberg Neural Networks with Markovian Jumping Parameters and Distributed Time-Varying Delays. Neural Process. Lett. 46(1): 71-81 (2017) - [j29]M. Syed Ali, J. Yogambigai:
Exponential Stability of Semi-Markovian Switching Complex Dynamical Networks with Mixed Time Varying Delays and Impulse Control. Neural Process. Lett. 46(1): 113-133 (2017) - [j28]M. Syed Ali, S. Saravanan, M. Esther Rani, S. Elakkia, Jinde Cao, Ahmed Alsaedi, Tasawar Hayat:
Asymptotic Stability of Cohen-Grossberg BAM Neutral Type Neural Networks with Distributed Time Varying Delays. Neural Process. Lett. 46(3): 991-1007 (2017) - [j27]Ramasamy Saravanakumar, Muhammed Syed Ali, Choon Ki Ahn, Hamid Reza Karimi, Peng Shi:
Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1840-1850 (2017) - 2016
- [j26]M. Syed Ali, J. Yogambigai:
Synchronization of complex dynamical networks with hybrid coupling delays on time scales by handling multitude Kronecker product terms. Appl. Math. Comput. 291: 244-258 (2016) - [j25]Muhammed Syed Ali, Pagavathigounder Balasubramaniam, Fathalla A. Rihan, Shanmugam Lakshmanan:
Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays. Complex. 21(5): 143-154 (2016) - [j24]M. Syed Ali, R. Saravanakumar:
Improved H∞ performance analysis of uncertain Markovian jump systems with overlapping time-varying delays. Complex. 21(S1): 460-477 (2016) - [j23]M. Syed Ali, R. Saravanakumar, Sabri Arik:
Novel H∞ state estimation of static neural networks with interval time-varying delays via augmented Lyapunov-Krasovskii functional. Neurocomputing 171: 949-954 (2016) - [j22]M. Syed Ali, R. Saravanakumar, Jinde Cao:
New passivity criteria for memristor-based neutral-type stochastic BAM neural networks with mixed time-varying delays. Neurocomputing 171: 1533-1547 (2016) - [j21]M. Syed Ali, S. Saravanan:
Robust finite-time H∞ control for a class of uncertain switched neural networks of neutral-type with distributed time varying delays. Neurocomputing 177: 454-468 (2016) - [j20]M. Syed Ali, S. Saravanan, Sabri Arik:
Finite-time H∞ state estimation for switched neural networks with time-varying delays. Neurocomputing 207: 580-589 (2016) - [j19]M. Syed Ali, Sabri Arik, M. Esther Rani:
Passivity analysis of stochastic neural networks with leakage delay and Markovian jumping parameters. Neurocomputing 218: 139-145 (2016) - [j18]R. Saravanakumar, M. Syed Ali, Jinde Cao, He Huang:
H∞ state estimation of generalised neural networks with interval time-varying delays. Int. J. Syst. Sci. 47(16): 3888-3899 (2016) - [j17]R. Saravanakumar, M. Syed Ali, Mingang Hua:
H∞ state estimation of stochastic neural networks with mixed time-varying delays. Soft Comput. 20(9): 3475-3487 (2016) - 2015
- [j16]M. Syed Ali:
Stability of Markovian jumping recurrent neural networks with discrete and distributed time-varying delays. Neurocomputing 149: 1280-1285 (2015) - [j15]M. Syed Ali, Sabri Arik, R. Saravanakumar:
Delay-dependent stability criteria of uncertain Markovian jump neural networks with discrete interval and distributed time-varying delays. Neurocomputing 158: 167-173 (2015) - [j14]M. Syed Ali, R. Saravanakumar, Quanxin Zhu:
Less conservative delay-dependent H∞ control of uncertain neural networks with discrete interval and distributed time-varying delays. Neurocomputing 166: 84-95 (2015) - 2014
- [j13]M. Syed Ali, R. Saravanakumar:
Novel delay-dependent robust H∞ control of uncertain systems with distributed time-varying delays. Appl. Math. Comput. 249: 510-520 (2014) - [j12]M. Syed Ali:
Robust stability of stochastic uncertain recurrent neural networks with Markovian jumping parameters and time-varying delays. Int. J. Mach. Learn. Cybern. 5(1): 13-22 (2014) - 2011
- [j11]Pagavathigounder Balasubramaniam, M. Syed Ali:
Stochastic stability of uncertain fuzzy recurrent neural networks with Markovian jumping parameters. Int. J. Comput. Math. 88(5): 892-904 (2011) - [j10]Pagavathigounder Balasubramaniam, M. Syed Ali:
Stability analysis of Takagi-Sugeno stochastic fuzzy Hopfield neural networks with discrete and distributed time varying delays. Neurocomputing 74(10): 1520-1526 (2011) - [j9]Pagavathigounder Balasubramaniam, M. Syed Ali:
Stability analysis of Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays. Math. Comput. Model. 53(1-2): 151-160 (2011) - [j8]M. Syed Ali, M. Marudai:
Stochastic stability of discrete-time uncertain recurrent neural networks with Markovian jumping and time-varying delays. Math. Comput. Model. 54(9-10): 1979-1988 (2011) - 2010
- [j7]Pagavathigounder Balasubramaniam, M. Syed Ali, Sabri Arik:
Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple time-varying delays. Expert Syst. Appl. 37(12): 7737-7744 (2010) - [j6]Pagavathigounder Balasubramaniam, M. Syed Ali:
Robust exponential stability of uncertain fuzzy Cohen-Grossberg neural networks with time-varying delays. Fuzzy Sets Syst. 161(4): 608-618 (2010) - [j5]M. Syed Ali, Pagavathigounder Balasubramaniam:
Exponential stability of time-delay systems with nonlinear uncertainties. Int. J. Comput. Math. 87(6): 1363-1373 (2010) - [j4]Pagavathigounder Balasubramaniam, M. Syed Ali:
Robust stability of uncertain fuzzy cellular neural networks with time-varying delays and reaction diffusion terms. Neurocomputing 74(1-3): 439-446 (2010)
2000 – 2009
- 2009
- [j3]Pagavathigounder Balasubramaniam, M. Syed Ali, J. H. Kim:
Faedo-Galerkin approximate solutions for stochastic semilinear integrodifferential equations. Comput. Math. Appl. 58(1): 48-57 (2009) - [j2]M. Syed Ali, Pagavathigounder Balasubramaniam:
Robust stability of uncertain fuzzy Cohen-Grossberg BAM neural networks with time-varying delays. Expert Syst. Appl. 36(7): 10583-10588 (2009) - [j1]M. Syed Ali, Pagavathigounder Balasubramaniam:
Exponential stability of uncertain stochastic fuzzy BAM neural networks with time-varying delays. Neurocomputing 72(4-6): 1347-1354 (2009) - [c1]Muhamed Syed Ali, Pagavathigounder Balasubramaniam:
Stability analysis of Takagi-Sugeno fuzzy Hopfield neural networks with discrete and distributed time varying delays. IJCNN 2009: 108-113
Coauthor Index
P. Balasubramaniam 0001
aka: Pagavathigounder Balasubramaniam
aka: Pagavathigounder Balasubramaniam
R. Saravanakumar 0001
aka: Ramasamy Saravanakumar
aka: Ramasamy Saravanakumar
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