Open Access

Application of zeroed neural networks to stability analysis of continuous dynamic systems

 and    | Jul 02, 2024

Cite

Ebrahim, M. A., Ahmed, M. N., Ramadan, H. S., Becherif, M., & Zhao, J. (2021). Optimal metaheuristic-based sliding mode control of vsc-hvdc transmission systems. Mathematics and Computers in Simulation (MATCOM), 179. Search in Google Scholar

Olm, J., & Ros-Oton, X. (2017). Approximate tracking of periodic references in a class of bilinear systems via stable inversion. Discrete and Continuous Dynamical Systems - Series B (DCDS-B), 15(1), 197-215. Search in Google Scholar

Sergey, V. B., Valeriy, V. G., Rabysh, Y., & Cherevko, N. (2018). Exponential stability of continuous dynamic systems. (5). Search in Google Scholar

Ren, H., & Kumar, R. (2019). Simulation-based verification of bounded-horizon safety for hybrid systems using dynamic number of simulations. IET Cyber-Physical Systems: Theory & Applications, 4(3), 250-258. Search in Google Scholar

Khalil, AM, & Iravani. (2017). Enhanced generic nonlinear and linearized models of wind power plants. IEEE T POWER SYST. Search in Google Scholar

Shapovalov, V. V., Shcherbak, P. N., Burakova, M. A., Volkov, I. V., & Prikhodko, V. M. (2017). Monitoring of nonlinear antifrictional systems. International Journal of Applied Engineering Research, 12(21), 10902-10908. Search in Google Scholar

Xiao, L., Tao, J., Dai, J., Wang, Y., & He, Y. (2021). A parameter-changing and complex-valued zeroing neural-network for finding solution of time-varying complex linear matrix equations in finite-time. IEEE Transactions on Industrial Informatics, PP(99), 1-1. Search in Google Scholar

Jia, L., Xiao, L., Dai, J., Qi, Z., & Zhang, Y. (2020). Design and application of an adaptive fuzzy control strategy to zeroing neural network for solving time-variant qp problem. IEEE Transactions on Fuzzy Systems, PP(99), 1-1. Search in Google Scholar

Aldrich, C. (2019). Process fault diagnosis for continuous dynamic systems over multivariate time series. Chapters. Search in Google Scholar

Bahner, Franz D.Prado-Rubio, Oscar A.Huusom, Jakob K. (2020). Discrete-continuous dynamic simulation of plantwide batch process systems in matlab. Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers, 159(1). Search in Google Scholar

Sun, M., Villanueva, M. E., Pistikopoulos, E. N., & Chachuat, B. (2018). Robust Multi-Parametric Control of Continuous-Time Linear Dynamic Systems. IFAC World Congress. Search in Google Scholar

Mpembele, G., & Kimball, J. (2017). Analysis of a standalone microgrid stability using generic Markov jump linear systems. Power & Energy Conference at Illinois. IEEE. Search in Google Scholar

Wu, K. (2018). Vibration and Stability of Continuous Systems: New Parametric Instability Analysis and Spatial Discretization Method. (Doctoral dissertation, University of Maryland, Baltimore County.). Search in Google Scholar

Katsikis, V. N., Stanimirovic, P. S., Mourtas, S. D., Xiao, L., Stanujkic, D., & Karabasevic, D. (2023). Zeroing neural network based on neutrosophic logic for calculating minimal-norm least-squares solutions to time-varying linear systems. Neural processing letters(7), 55. Search in Google Scholar

Dai, J., Li, Y., Xiao, L., & Jia, L. (2021). Zeroing neural network for time-varying linear equations with application to dynamic positioning. IEEE Transactions on Industrial Informatics, PP(99), 1-1. Search in Google Scholar

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics