Existence and Uniqueness in Infinite-Horizon LQ Control via Sontag-Based Riccati Analysis
DOI:
10.29303/jm.v8i1.10782Published:
2026-03-26Downloads
Abstract
This paper examines the existence and uniqueness of solutions to Linear Quadratic (LQ) optimal control problems with infinite time horizons in time-varying dynamic systems. By extending Sontag's Theorem to semi-infinite intervals, the properties of The Riccati Differential Equation’s solutions are analyzed under assumptions of essential boundedness and boundedness of the system matrix and cost weights. It is proven that the Riccati matrix solution P(t) exists globally, remains positive definite, and converges to the steady-state limit P∞. The uniqueness of the optimal control–state pair (x,u) is obtained through P(t)-based co-state analysis. Simulations on satellite attitude control systems demonstrate convergence and robustness towards periodic disturbances, supporting applications in adaptive control, robust estimation, and time-varying filtering.
Keywords:
Riccati differential equation infinite-horizon optimal control stabilizability and detectability time-varying systems Robust Kalman filteringReferences
Ai, X., Gray, H. M., Salzburger, A., & Styles, N. (2023). A non-linear Kalman filter for track parameters estimation in high energy physics. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1049. https://doi.org/10.1016/j.nima.2023.168041
Assimakis, N., Adam, M., Ktena, A., & Manasis, C. (2021). Steady state Kalman filter design for cases and deaths prediction of Covid-19 in Greece. Results in Physics, 26. https://doi.org/10.1016/j.rinp.2021.104391
Brenner, S. C., Liu, S., & Sung, L. (2018). Multigrid methods for saddle point problems: Karush-Kuhn-Tucker systems. http://arxiv.org/abs/1811.12434
Cheban, D., & Liu, Z. (2021). Averaging Principle On Infinite Intervals For Stochastic Ordinary Differential Equations. Electronic Research Archive, 29(4), 2791–2817. https://doi.org/10.3934/era.2021014
Daid, A., Busvelle, E., & Aidene, M. (2021). On the convergence of the unscented Kalman filter. European Journal of Control, 57. https://doi.org/10.1016/j.ejcon.2020.05.003
Fadhel, F. S., & Altaie, H. O. (2021). Solution of riccati matrix differential equation using new approach of variational iteration method. International Journal of Nonlinear Analysis and Applications, 12(2), 1633–1640. https://doi.org/10.22075/ijnaa.2021.5292
Faybusovich, L., & Mouktonglang, T. (2016). Remark on multi-target, robust linear-quadratic control problem on semi-infinite interval. Communications in Information and Systems, 16(2), 117–126. https://doi.org/10.4310/cis.2016.v16.n2.a3
Josheski, D., & Gelova, E. (2018). Kuhn-Tucker Theorem Foundations and Its Basic Application in the Mathematical Economics. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2339481
Jwo, D. J., & Biswal, A. (2023). Implementation and Performance Analysis of Kalman Filters with Consistency Validation. Mathematics, 11(3). https://doi.org/10.3390/math11030521
Kim, S., Deshpande, V. M., & Bhattacharya, R. (2021). Robust Kalman Filtering with Probabilistic Uncertainty in System Parameters. IEEE Control Systems Letters, 5(1), 295–300. https://doi.org/10.1109/LCSYS.2020.3001490
Rauh, A., & Kersten, J. (2021). Transformation of uncertain linear systems with real eigenvalues into cooperative form: The case of constant and time-varying bounded parameters. Algorithms, 14(3). https://doi.org/10.3390/a14030085
Rudianto, B., Muhafzan, Syafwan, M., & Sy, S. (2025). Stability Analysis and Performance of Kalman Filtering and Robust Kalman Filtering on Uncertain Continuous-Time Systems. Barekeng, 19(2), 1295–1306. https://doi.org/10.30598/barekengvol19iss2pp1295-1306
Ruiz-Garzón, G., Osuna-Gómez, R., Rufián-Lizana, A., & Beato-Moreno, A. (2023). Semi-infinite interval equilibrium problems: optimality conditions and existence results. Computational and Applied Mathematics, 42(6), 1–17. https://doi.org/10.1007/s40314-023-02378-8
Safitri, E., Basriati, S., & Najmi, H. (2020). Penerapan Metode Branch and Bound dalam Optimalisasi Produk Mebel (Studi kasus: Toko Mebel di Jalan Marsan, Panam). Kubik: Jurnal Publikasi Ilmiah Matematika, 5(1), 43–53. https://doi.org/10.15575/kubik.v5i1.8611
Wang, H., Dong, Y., & Deng, M. (2019). Finite-time boundedness analysis for a class of uncertain discrete-time systems with interval time-varying delay. WSEAS Transactions on Systems, 18, 85–92.
Xiao, X., Shen, K., Liang, Y., & Liu, T. (2020). Kalman filter with recursive covariance estimation for protection against system uncertainty. IET Control Theory and Applications, 14(15), 2097–2105. https://doi.org/10.1049/iet-cta.2019.1476
Yi, S., & Zorzi, M. (2022). Robust Kalman Filtering Under Model Uncertainty: The Case of Degenerate Densities. IEEE Transactions on Automatic Control, 67(7), 3458–3471. https://doi.org/10.1109/TAC.2021.3106861
Zhou, B., Bash, B. A., Guha, S., & Gagatsos, C. N. (2023). Bayesian minimum mean square error for transmissivity sensing. Physical Review Research, 5(4), 1–10. https://doi.org/10.1103/PhysRevResearch.5.043033
Zorzi, M., & Levy, B. C. (2018). Robust Kalman Filtering: Asymptotic Analysis of the Least Favorable Model. Proceedings of the IEEE Conference on Decision and Control, 2018-Decem, 7124–7129. https://doi.org/10.1109/CDC.2018.8619658
License
Copyright (c) 2026 Budi Rudianto, Muhafzan Muhafzan, Mahdhivan Syafwan, Syafrizal Sy

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.




