A. Parivallal, O.M. Kwon, S. Yun, Y. M. Jung, Adaptive event‐based asynchronous approach for containment control of Markov jump multi‐agent systems with hidden Markov models, Asian Journal of Control, DOI: 10.1002/asjc.3652, (2025).

A. Parivallal, S. Yun and Y. M. Jung, Containment control of PDE-type T–S fuzzy multi-agent systems via event-triggered scheme, Communications in Nonlinear Science and Numerical Simulation, vol. 147 (2025), 108830.

S Manickavalli, A Parivallal, R Kavikumar and B Kaviarasan, Distributed bipartite consensus of multi-agent systems via disturbance rejection control strategy, Mathematics, vol. 12, no. 20 (2024), Article ID: 3225.

R. Sakthivel, A. Parivallal, O.M. Kwon and S. Manickavalli, Observer-based leader-following cluster consensus for positive multi-agent systems with input time-varying delay, International Journal of Systems Science, DOI:10.1080/00207721.2024.2364294 (2024).

A. Parivallal, S. Yun and Y. M. Jung, Hybrid-triggered output feedback containment control for multi-agent systems with missing measurements, IEEE Transactions on Signal and Information Processing over Networks, vol. 10 (2024), pp. 108-118.

A. Parivallal, Y.M. Jung and S. Yun, Dynamic event-triggered formation control for Takagi–Sugeno fuzzy multi-agent systems with mismatched membership functions, Chaos, Solitons & Fractals,  vol. 177 (2023), Article ID: 114188.

A. Parivallal, Y.M. Jung and S. Yun, Hybrid-triggered bipartite leader-following consensus for multi-agent systems with controller gain variations, Communications in Nonlinear Science and Numerical Simulation, vol. 126 (2023), Article ID: 107455.

R. Sakthivel, A. Parivallal, Fanchao Kong and Yong Ren, Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems with Gain Fluctuations, IEEE Transactions on Signal and Information Processing Over Networks, vol. 9 (2023), pp. 74-83.

J. Jeong, Y. Lim and A. Parivallal, An asymmetric Lyapunov-Krasovskii functional approach for event-triggered consensus of multi-agent systems with deception attacks,  Applied Mathematics and Computation, vol. 439 (2023), Article ID: 127584.

 D. Aravindh, A. Parivallal, R. Sakthivel and R. Kavikumar, Equivalent-Input-Disturbance Based Robust Control Design for Fuzzy Semi-Markovian Jump Systems via the Proportional-Integral Observer Approach, Mathematics, vol. 11, no. 11 (2023), Article ID: 2543.

S. Jeyachandran, R. Srinivasan, T. Ramesh, A. Parivallal, J. Lee and E. Sathiyamoorthi, Recent Development and Application of “Nanozyme” Artificial Enzymes—A Review, vol. 8, no. 5 (2023), Article ID: 446.

A. Parivallal, R. Sakthivel and Y. Lim, Intermediate estimator-based bipartite tracking control for consensus of multi-agent systems, International Journal of Adaptive Control and Signal Processing, vol. 36, no. 11 (2022), pp.  2701-2715.

A. Parivallal, Y. Lim and J. Jeong, Hybrid-triggered H∞ control for parabolic PDE systems under deception attacks, IEEE Access, vol. 10, pp.80289 - 80299, (2022).

R. Abinandhitha, R. Sakthivel, F. Kong and A. Parivallal, Robust non-fragile boundary control for non-linear parabolic PDE systems with semi-Markov switching and input quantization, European Journal of Control, vol. 67 (2022), Article ID: 100713.

A. Parivallal, R. Sakthivel and Chao Wang, Guaranteed cost leaderless consensus for uncertain Markov jumping multi-agent systems, Journal of Experimental & Theoretical Artificial Intelligence, vol. 35, no. 2 (2023), pp. 257-273.

A. Parivallal, R. Sakthivel and Chao Wang, Output feedback control for bipartite consensus of nonlinear multi-agent systems with disturbances and switching topologies, Physica A: Statistical Mechanics and its Applications, vol. 589 (2022), Article ID: 126589.

R. Sakthivel, S. Manickavalli, A. Parivallal and Yong Ren, Observer-based bipartite consensus for uncertain Markovian-jumping multi-agent systems with actuator saturation, European Journal of Control, vol. 61 (2021), pp. 13-23.

 R. Sakthivel, A. Parivallal, S. Manickavalli, Fanchao Kong and Yong Ren, Resilient dynamic output feedback control for bipartite consensus of multi-agent systems with Markov switching topologies, International Journal of Robust and Nonlinear Control, vol. 31, no. 12 (2021), pp. 5926-5942. 

R. Sakthivel, H. Divya, A. Parivallal, V.T. Suveetha, Quantized fault detection filter design for networked control system with Markov jump parameters, Circuits, Systems, and Signal Processing, vol. 40 (2021), pp. 4741–4758.

R. Sakthivel, A. Parivallal, Nguyen Huy Tuan and S. Manickavalli, Nonfragile control design for consensus of semi-Markov jumping multiagent systems with disturbances, International Journal of Adaptive Control and Signal Processing, vol. 35, no. 6 (2021), pp. 1039-1061.

 S. Kanakalakshmi, R. Sakthivel, L. Susana Ramya, A. Parivallal and A. Leelamani, Disturbance estimator based dynamic compensator design for fractional order fuzzy control systems, Iranian Journal of Fuzzy Systems, vol. 18, no. 4 (2021), pp. 79-93.

S. Kanakalakshmi, R. Sakthivel, S.A. Karthick, A. Leelamani and A. Parivallal, Finite- time decentralized event-triggering non-fragile control for fuzzy neural networks with cyber-attack and energy constraints, European Journal of Control, vol. 57 (2021), pp. 135-146. 

A. Parivallal, R Sakthivel, R Amsaveni, Faris Alzahrani and Ali Saleh Alshomrani, Observer-based memory consensus for nonlinear multi-agent systems with output quantization and Markov switching topologies, Physica A: Statistical Mechanics and its Applications, vol. 551 (2020), Article ID: 123949.

A. Parivallal, R. Sakthivel, F. Alzahrani and A. Leelamani, Quantized guaranteed cost memory consensus for nonlinear multi-agent systems with switching topology and actuator faults, Physica A: Statistical Mechanics and its Applications, vol. 539 (2020),  Article ID: 122946.

R. Sakthivel, A. Parivallal, B. Kaviarasan, H. Lee and Y. Lim, Finite-time consensus of Markov jumping multi-agent systems with time-varying actuator faults and input saturation, ISA Transactions, vol. 83 (2018), pp. 89-99.

T. Jayakumar, A. Parivallal, D. Prasantha Bharathi, Numerical solution of fuzzy delay differential equations by fourth order Runge-Kutta method, Advances in Fuzzy Sets and Systems, vol. 21, no. 2 (2016), pp. 135-161.