Research Article
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Year 2026, Volume: 8 Issue: 1 , 66 - 77 , 28.03.2026
https://doi.org/10.51537/chaos.1873263
https://izlik.org/JA59XA62DF

Abstract

References

  • Abdulwasaa, M. A., S. V. Kawale, M. S. Abdo, M. D. Albalwi, K. Shah, et al., 2024 Statistical and computational analysis for corruption and poverty model using caputo-type fractional differential equations. Heliyon 10.
  • Adnan, A. Ali, M. ur Rahmamn, Z. Shah, and P. Kumam, 2022 Investigation of a time-fractional covid-19 mathematical model with singular kernel. Advances in Continuous and Discrete Models 2022: 34.
  • Aravind, R. V. and P. Balasubramaniam, 2022 Global asymptotic stability of delayed fractional-order complex-valued fuzzy cellular neural networks with impulsive disturbances. Journal of Applied Mathematics and Computing 68: 4713–4731.
  • Ayasrah, S., A. Freihat, M. Alabedalhadi, M. Al-Smadi, S. Al-Omari, et al., 2025 Investigation of caputo fractional modeling for temporal variations on hearing loss due to mumps virus. Appl. Math 19: 551–563.
  • Chen, L.,W. Guo, P. Gu, A. M. Lopes, Z. Chu, et al., 2022 Stability and stabilization of fractional-order uncertain nonlinear systems with multiorder. IEEE Transactions on Circuits and Systems II: Express Briefs 70: 576–580.
  • Chen,W., H. Dai, Y. Song, and Z. Zhang, 2017 Convex Lyapunov functions for stability analysis of fractional order systems. IET Control Theory & Applications 11: 1070–1074.
  • Ding, K. and Q. Zhu, 2020 Impulsive method to reliable sampleddata control for uncertain fractional-order memristive neural networks with stochastic sensor faults and its applications. Nonlinear Dynamics 100: 2595–2608.
  • Goulart, A., M. Lazo, J. Suarez, and D. Moreira, 2017 Fractional derivative models for atmospheric dispersion of pollutants. Physica A: Statistical Mechanics and its Applications 477: 9–19.
  • Huang, D. and H. Li, 1993 Theory and method of the nonlinear economics. Publishing House of Sichuan University, Chengdu .
  • Jose, S. A., R. Raja, J. Alzabut, G. Rajchakit, J. Cao, et al., 2022 Mathematical modeling on transmission and optimal control strategies of corruption dynamics. Nonlinear Dynamics 109: 3169–3187.
  • Khan, H., J. Alzabut,W. F. Alfwzan, and H. Gulzar, 2023 Nonlinear dynamics of a piecewise modified abc fractional-order leukemia model with symmetric numerical simulations. Symmetry 15: 1338.
  • Khan, H., J. Alzabut, D. Almutairi, H. Gulzar, andW. K. Alqurashi, 2025 Data analysis of fractal-fractional co-infection covid-tb model with the use of artificial intelligence. Fractals 33: 2540099.
  • Kumar, D., J. Singh, and D. Baleanu, 2020 On the analysis of vibration equation involving a fractional derivative with mittag-leffler law. Mathematical Methods in the Applied Sciences 43: 443–457.
  • Kumar, S., P. K. Shaw, A.-H. Abdel-Aty, and E. E. Mahmoud, 2024 A numerical study on fractional differential equation with population growth model. Numerical Methods for Partial Differential Equations 40: e22684.
  • Lakshmi, K. P. and T. Senthilkumar, 2023 Robust exponential synchronization results for uncertain infinite time varying distributed delayed neural networks with flexible and Computers in Simulation .
  • Li, H., Y. Kao, I. Stamova, and C. Shao, 2021 Global asymptotic stability and s-asymptotic ω-periodicity of impulsive nonautonomous fractional-order neural networks. Applied Mathematics and Computation 410: 126459.
  • Li, H. and G.-H. Yang, 2019 Dynamic output feedback H∞ control for fractional-order linear uncertain systems with actuator faults. Journal of the Franklin Institute 356: 4442–4466.
  • Li, X., R. Rao, S. Zhong, X. Yang, H. Li, et al., 2022 Impulsive control and synchronization for fractional-order hyper-chaotic financial system. Mathematics 10: 2737.
  • Liu, H., S. Li, G. Li, and H. Wang, 2018 Adaptive controller design for a class of uncertain fractional-order nonlinear systems: an adaptive fuzzy approach. International Journal of Fuzzy Systems 20: 366–379.
  • Liu, Y., H. Zhi, J. Wei, X. Zhu, and Q. Zhu, 2020 Event-triggered control for linear continuous switched singular systems. Applied Mathematics and Computation 374: 125038.
  • Luo, L., L. Li, J. Cao, and M. Abdel-Aty, 2025 Fractional exponential stability of nonlinear conformable fractional-order delayed systems with delayed impulses and its application. Journal of the Franklin Institute 362: 107353.
  • Luo, L., L. Li,W. Huang, and Q. Cui, 2023 Stability of the caputo fractional-order inertial neural network with delay-dependent impulses. Neurocomputing 520: 25–32.
  • Ma, R.-r., J. Wu, K. Wu, and X. Pan, 2022 Adaptive fixed-time synchronization of lorenz systems with application in chaotic finance systems. Nonlinear Dynamics 109: 3145–3156.
  • Mahdy, A., M. S. Mohamed, K. Lotfy, M. Alhazmi, A. El-Bary, et al., 2021 Numerical solution and dynamical behaviors for solving fractional nonlinear rubella ailment disease model. Results in Physics 24: 104091.
  • Murray, J. D., 2007 Mathematical biology: I. An introduction, volume 17. Springer Science & Business Media.
  • Oprzk˛edkiewicz, K., W. Mitkowski, and M. Roso˛ l, 2021 Fractional order model of the two dimensional heat transfer process. Energies 14: 6371.
  • Peng, R., C. Jiang, and R. Guo, 2021 Stabilization of a class of fractional order systems with both uncertainty and disturbance. IEEE Access 9: 42697–42706.
  • Pratap, A., R. Raja, R. P. Agarwal, and J. Cao, 2019 Stability analysis and robust synchronization of fractional-order competitive neural networks with different time scales and impulsive perturbations. International Journal of Adaptive Control and Signal Processing 33: 1635–1660.
  • Qureshi, S. and A. Yusuf, 2019 Modeling chickenpox disease with fractional derivatives: From caputo to atangana-baleanu. Chaos, Solitons & Fractals 122: 111–118.
  • Ramalakshmi, K., B. S. Vadivoo, K. S. Nisar, and S. Alsaeed, 2024 The θ-hilfer fractional order model for the optimal control of the dynamics of hepatitis b virus transmission. Results in Control and Optimization 17: 100496.
  • Ramaswami, R., V. Arumugam, and S. Pathmanaban, 2025 Lyapunov conditions for the finite-time stability of fractional order disturbed nonlinear systems and neural networks: The secure image communication using encryption. Communications in Nonlinear Science and Numerical Simulation p. 108716.
  • Rihan, F. A. et al., 2021 Delay differential equations and applications to biology. Springer.
  • Sarkans, E. and H. Logemann, 2015 Input-to-state stability of lur’e systems. Mathematics of Control, Signals, and Systems 27: 439– 465.
  • Senthilkumar, T. et al., 2024 Synchronization results for uncertain complex-valued neural networks under delay-dependent flexible impulsive control. Chaos, Solitons & Fractals 178: 114338.
  • Senthilkumar, T., A. Vinodkumar, and M. Gowrisankar, 2022 Stability results on random impulsive control for uncertain neutral delay differential systems. International Journal of Control pp. 1–13.
  • Shah, K., M. A. Alqudah, F. Jarad, and T. Abdeljawad, 2020 Semianalytical study of pine wilt disease model with convex rate under caputo–febrizio fractional order derivative. Chaos, Solitons & Fractals 135: 109754.
  • Srivastava, H., V. Dubey, R. Kumar, J. Singh, D. Kumar, et al., 2020 An efficient computational approach for a fractional-order biological population model with carrying capacity. Chaos, Solitons & Fractals 138: 109880.
  • Srivastava, H. M., S. Abbas, S. Tyagi, and D. Lassoued, 2018 Global exponential stability of fractional-order impulsive neural network with time-varying and distributed delay. Mathematical Methods in the Applied Sciences 41: 2095–2104.
  • Stamov, G. T., I. M. Stamova, and J. Cao, 2018 Uncertain impulsive functional differential systems of fractional order and almost periodicity. Journal of the Franklin Institute 355: 5310–5323.
  • Toledo-Hernandez, R., V. Rico-Ramirez, G. A. Iglesias-Silva, and U. M. Diwekar, 2014 A fractional calculus approach to the dynamic optimization of biological reactive systems. part i: Fractional models for biological reactions. Chemical Engineering Science 117: 217–228.
  • ur Rahman, M., M. Arfan, K. Shah, and J. Gómez-Aguilar, 2020 Investigating a nonlinear dynamical model of covid-19 disease under fuzzy caputo, random and abc fractional order derivative. Chaos, Solitons & Fractals 140: 110232.
  • Vinodkumar, A., T. Senthilkumar, H. I¸sık, S. Hariharan, and N. Gunasekaran, 2022 An exponential stabilization of random impulsive control systems and its application to chaotic systems. Mathematical Methods in the Applied Sciences .
  • Vinodkumar, A., T. Senthilkumar, Z. Liu, and X. Li, 2021 Exponential stability of random impulsive pantograph equations. Mathematical Methods in the Applied Sciences 44: 6700–6715.
  • Wang, B., J. Xue, F. Wu, and D. Zhu, 2016 Stabilization conditions for fuzzy control of uncertain fractional order non-linear systems with random disturbances. IET Control Theory & Applications 10: 637–647.
  • Wang, C., M. Liang, and Y. Chai, 2019 An adaptive control of fractional-order nonlinear uncertain systems with input saturation. Complexity 2019: 1–17.
  • Wang, S., X. Xiao, and Q. Ding, 2024 A novel fractional system grey prediction model with dynamic delay effect for evaluating the state of health of lithium battery. Energy 290: 130057.
  • Yang, S., C. Hu, J. Yu, and H. Jiang, 2019 Exponential stability of fractional-order impulsive control systems with applications in synchronization. IEEE Transactions on Cybernetics 50: 3157– 3168.
  • Yu, Z., S. Ling, and P. X. Liu, 2023 Exponential stability of timedelay systems with flexible delayed impulse. Asian Journal of Control .
  • Zhang, J.-E., 2018 Stabilization of uncertain fractional-order complex switched networks via impulsive control and its application to blind source separation. IEEE Access 6: 32780–32789.
  • Zhang, L. and Y. Yang, 2020 Impulsive effects on bipartite quasi synchronization of extended caputo fractional order coupled networks. Journal of the Franklin Institute 357: 4328–4348.
  • Zhao, X., Z. Li, and S. Li, 2011 Synchronization of a chaotic finance system. Applied mathematics and Computation 217: 6031–6039.

Stabilization of Nonlinear Uncertain Fractional Systems via Flexible Impulses and Applications to Chemical Lur’e and Chaotic Financial Models

Year 2026, Volume: 8 Issue: 1 , 66 - 77 , 28.03.2026
https://doi.org/10.51537/chaos.1873263
https://izlik.org/JA59XA62DF

Abstract

This study establishes robust exponential stability and exponential stability criteria for nonlinear fractional-order systems with parametric uncertainties under flexible impulsive control. Novel concepts are introduced to characterize the non-fixed, state-adaptive nature of impulsive delays. The existence and uniqueness of the global piecewise continuous solution are rigorously proven using both an iterative continuation method and the Banach contraction principle. Leveraging a convex Lyapunov function approach and linear matrix inequalities, sufficient conditions for robust exponential stability and exponential stability are derived, explicitly revealing the interplay between the system’s fractional order. Unlike prior works constrained by fixed or strictly monotonic delays, our framework permits fully flexible impulse timing and delays, yielding less conservative and more general stability results. The theoretical findings are validated through two practical applications where the stabilization of a fractional chaotic financial model and a fractional Lur’e chemical reaction system, demonstrating the efficacy of state-dependent flexible impulses in achieving controlled, convergent dynamics.

References

  • Abdulwasaa, M. A., S. V. Kawale, M. S. Abdo, M. D. Albalwi, K. Shah, et al., 2024 Statistical and computational analysis for corruption and poverty model using caputo-type fractional differential equations. Heliyon 10.
  • Adnan, A. Ali, M. ur Rahmamn, Z. Shah, and P. Kumam, 2022 Investigation of a time-fractional covid-19 mathematical model with singular kernel. Advances in Continuous and Discrete Models 2022: 34.
  • Aravind, R. V. and P. Balasubramaniam, 2022 Global asymptotic stability of delayed fractional-order complex-valued fuzzy cellular neural networks with impulsive disturbances. Journal of Applied Mathematics and Computing 68: 4713–4731.
  • Ayasrah, S., A. Freihat, M. Alabedalhadi, M. Al-Smadi, S. Al-Omari, et al., 2025 Investigation of caputo fractional modeling for temporal variations on hearing loss due to mumps virus. Appl. Math 19: 551–563.
  • Chen, L.,W. Guo, P. Gu, A. M. Lopes, Z. Chu, et al., 2022 Stability and stabilization of fractional-order uncertain nonlinear systems with multiorder. IEEE Transactions on Circuits and Systems II: Express Briefs 70: 576–580.
  • Chen,W., H. Dai, Y. Song, and Z. Zhang, 2017 Convex Lyapunov functions for stability analysis of fractional order systems. IET Control Theory & Applications 11: 1070–1074.
  • Ding, K. and Q. Zhu, 2020 Impulsive method to reliable sampleddata control for uncertain fractional-order memristive neural networks with stochastic sensor faults and its applications. Nonlinear Dynamics 100: 2595–2608.
  • Goulart, A., M. Lazo, J. Suarez, and D. Moreira, 2017 Fractional derivative models for atmospheric dispersion of pollutants. Physica A: Statistical Mechanics and its Applications 477: 9–19.
  • Huang, D. and H. Li, 1993 Theory and method of the nonlinear economics. Publishing House of Sichuan University, Chengdu .
  • Jose, S. A., R. Raja, J. Alzabut, G. Rajchakit, J. Cao, et al., 2022 Mathematical modeling on transmission and optimal control strategies of corruption dynamics. Nonlinear Dynamics 109: 3169–3187.
  • Khan, H., J. Alzabut,W. F. Alfwzan, and H. Gulzar, 2023 Nonlinear dynamics of a piecewise modified abc fractional-order leukemia model with symmetric numerical simulations. Symmetry 15: 1338.
  • Khan, H., J. Alzabut, D. Almutairi, H. Gulzar, andW. K. Alqurashi, 2025 Data analysis of fractal-fractional co-infection covid-tb model with the use of artificial intelligence. Fractals 33: 2540099.
  • Kumar, D., J. Singh, and D. Baleanu, 2020 On the analysis of vibration equation involving a fractional derivative with mittag-leffler law. Mathematical Methods in the Applied Sciences 43: 443–457.
  • Kumar, S., P. K. Shaw, A.-H. Abdel-Aty, and E. E. Mahmoud, 2024 A numerical study on fractional differential equation with population growth model. Numerical Methods for Partial Differential Equations 40: e22684.
  • Lakshmi, K. P. and T. Senthilkumar, 2023 Robust exponential synchronization results for uncertain infinite time varying distributed delayed neural networks with flexible and Computers in Simulation .
  • Li, H., Y. Kao, I. Stamova, and C. Shao, 2021 Global asymptotic stability and s-asymptotic ω-periodicity of impulsive nonautonomous fractional-order neural networks. Applied Mathematics and Computation 410: 126459.
  • Li, H. and G.-H. Yang, 2019 Dynamic output feedback H∞ control for fractional-order linear uncertain systems with actuator faults. Journal of the Franklin Institute 356: 4442–4466.
  • Li, X., R. Rao, S. Zhong, X. Yang, H. Li, et al., 2022 Impulsive control and synchronization for fractional-order hyper-chaotic financial system. Mathematics 10: 2737.
  • Liu, H., S. Li, G. Li, and H. Wang, 2018 Adaptive controller design for a class of uncertain fractional-order nonlinear systems: an adaptive fuzzy approach. International Journal of Fuzzy Systems 20: 366–379.
  • Liu, Y., H. Zhi, J. Wei, X. Zhu, and Q. Zhu, 2020 Event-triggered control for linear continuous switched singular systems. Applied Mathematics and Computation 374: 125038.
  • Luo, L., L. Li, J. Cao, and M. Abdel-Aty, 2025 Fractional exponential stability of nonlinear conformable fractional-order delayed systems with delayed impulses and its application. Journal of the Franklin Institute 362: 107353.
  • Luo, L., L. Li,W. Huang, and Q. Cui, 2023 Stability of the caputo fractional-order inertial neural network with delay-dependent impulses. Neurocomputing 520: 25–32.
  • Ma, R.-r., J. Wu, K. Wu, and X. Pan, 2022 Adaptive fixed-time synchronization of lorenz systems with application in chaotic finance systems. Nonlinear Dynamics 109: 3145–3156.
  • Mahdy, A., M. S. Mohamed, K. Lotfy, M. Alhazmi, A. El-Bary, et al., 2021 Numerical solution and dynamical behaviors for solving fractional nonlinear rubella ailment disease model. Results in Physics 24: 104091.
  • Murray, J. D., 2007 Mathematical biology: I. An introduction, volume 17. Springer Science & Business Media.
  • Oprzk˛edkiewicz, K., W. Mitkowski, and M. Roso˛ l, 2021 Fractional order model of the two dimensional heat transfer process. Energies 14: 6371.
  • Peng, R., C. Jiang, and R. Guo, 2021 Stabilization of a class of fractional order systems with both uncertainty and disturbance. IEEE Access 9: 42697–42706.
  • Pratap, A., R. Raja, R. P. Agarwal, and J. Cao, 2019 Stability analysis and robust synchronization of fractional-order competitive neural networks with different time scales and impulsive perturbations. International Journal of Adaptive Control and Signal Processing 33: 1635–1660.
  • Qureshi, S. and A. Yusuf, 2019 Modeling chickenpox disease with fractional derivatives: From caputo to atangana-baleanu. Chaos, Solitons & Fractals 122: 111–118.
  • Ramalakshmi, K., B. S. Vadivoo, K. S. Nisar, and S. Alsaeed, 2024 The θ-hilfer fractional order model for the optimal control of the dynamics of hepatitis b virus transmission. Results in Control and Optimization 17: 100496.
  • Ramaswami, R., V. Arumugam, and S. Pathmanaban, 2025 Lyapunov conditions for the finite-time stability of fractional order disturbed nonlinear systems and neural networks: The secure image communication using encryption. Communications in Nonlinear Science and Numerical Simulation p. 108716.
  • Rihan, F. A. et al., 2021 Delay differential equations and applications to biology. Springer.
  • Sarkans, E. and H. Logemann, 2015 Input-to-state stability of lur’e systems. Mathematics of Control, Signals, and Systems 27: 439– 465.
  • Senthilkumar, T. et al., 2024 Synchronization results for uncertain complex-valued neural networks under delay-dependent flexible impulsive control. Chaos, Solitons & Fractals 178: 114338.
  • Senthilkumar, T., A. Vinodkumar, and M. Gowrisankar, 2022 Stability results on random impulsive control for uncertain neutral delay differential systems. International Journal of Control pp. 1–13.
  • Shah, K., M. A. Alqudah, F. Jarad, and T. Abdeljawad, 2020 Semianalytical study of pine wilt disease model with convex rate under caputo–febrizio fractional order derivative. Chaos, Solitons & Fractals 135: 109754.
  • Srivastava, H., V. Dubey, R. Kumar, J. Singh, D. Kumar, et al., 2020 An efficient computational approach for a fractional-order biological population model with carrying capacity. Chaos, Solitons & Fractals 138: 109880.
  • Srivastava, H. M., S. Abbas, S. Tyagi, and D. Lassoued, 2018 Global exponential stability of fractional-order impulsive neural network with time-varying and distributed delay. Mathematical Methods in the Applied Sciences 41: 2095–2104.
  • Stamov, G. T., I. M. Stamova, and J. Cao, 2018 Uncertain impulsive functional differential systems of fractional order and almost periodicity. Journal of the Franklin Institute 355: 5310–5323.
  • Toledo-Hernandez, R., V. Rico-Ramirez, G. A. Iglesias-Silva, and U. M. Diwekar, 2014 A fractional calculus approach to the dynamic optimization of biological reactive systems. part i: Fractional models for biological reactions. Chemical Engineering Science 117: 217–228.
  • ur Rahman, M., M. Arfan, K. Shah, and J. Gómez-Aguilar, 2020 Investigating a nonlinear dynamical model of covid-19 disease under fuzzy caputo, random and abc fractional order derivative. Chaos, Solitons & Fractals 140: 110232.
  • Vinodkumar, A., T. Senthilkumar, H. I¸sık, S. Hariharan, and N. Gunasekaran, 2022 An exponential stabilization of random impulsive control systems and its application to chaotic systems. Mathematical Methods in the Applied Sciences .
  • Vinodkumar, A., T. Senthilkumar, Z. Liu, and X. Li, 2021 Exponential stability of random impulsive pantograph equations. Mathematical Methods in the Applied Sciences 44: 6700–6715.
  • Wang, B., J. Xue, F. Wu, and D. Zhu, 2016 Stabilization conditions for fuzzy control of uncertain fractional order non-linear systems with random disturbances. IET Control Theory & Applications 10: 637–647.
  • Wang, C., M. Liang, and Y. Chai, 2019 An adaptive control of fractional-order nonlinear uncertain systems with input saturation. Complexity 2019: 1–17.
  • Wang, S., X. Xiao, and Q. Ding, 2024 A novel fractional system grey prediction model with dynamic delay effect for evaluating the state of health of lithium battery. Energy 290: 130057.
  • Yang, S., C. Hu, J. Yu, and H. Jiang, 2019 Exponential stability of fractional-order impulsive control systems with applications in synchronization. IEEE Transactions on Cybernetics 50: 3157– 3168.
  • Yu, Z., S. Ling, and P. X. Liu, 2023 Exponential stability of timedelay systems with flexible delayed impulse. Asian Journal of Control .
  • Zhang, J.-E., 2018 Stabilization of uncertain fractional-order complex switched networks via impulsive control and its application to blind source separation. IEEE Access 6: 32780–32789.
  • Zhang, L. and Y. Yang, 2020 Impulsive effects on bipartite quasi synchronization of extended caputo fractional order coupled networks. Journal of the Franklin Institute 357: 4328–4348.
  • Zhao, X., Z. Li, and S. Li, 2011 Synchronization of a chaotic finance system. Applied mathematics and Computation 217: 6031–6039.
There are 51 citations in total.

Details

Primary Language English
Subjects Biological Mathematics, Dynamical Systems in Applications
Journal Section Research Article
Authors

Radhika Vaidyanathan 0009-0009-9753-612X

Senthilkumar Thangavel 0000-0002-8434-3064

Arumugam Vinodkumar 0000-0002-5314-8768

Jehad Alzabut 0000-0002-5262-1138

Submission Date January 28, 2026
Acceptance Date March 22, 2026
Publication Date March 28, 2026
DOI https://doi.org/10.51537/chaos.1873263
IZ https://izlik.org/JA59XA62DF
Published in Issue Year 2026 Volume: 8 Issue: 1

Cite

APA Vaidyanathan, R., Thangavel, S., Vinodkumar, A., & Alzabut, J. (2026). Stabilization of Nonlinear Uncertain Fractional Systems via Flexible Impulses and Applications to Chemical Lur’e and Chaotic Financial Models. Chaos Theory and Applications, 8(1), 66-77. https://doi.org/10.51537/chaos.1873263

Chaos Theory and Applications in Applied Sciences and Engineering: An interdisciplinary journal of nonlinear science 23830 28903   

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