Open Access
| Issue |
E3S Web Conf.
Volume 264, 2021
International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2021)
|
|
|---|---|---|
| Article Number | 01049 | |
| Number of page(s) | 9 | |
| Section | Ecology, Hydropower Engineering and Modeling of Physical Processes | |
| DOI | https://doi.org/10.1051/e3sconf/202126401049 | |
| Published online | 02 June 2021 | |
- Nikiforov, V.O. Upravleniye v usloviyakh neopredelennosti: chuvstvitel’nost’, adaptatsiya, robastnost’. SPb GITMO (TU), p. 232. (2002) [Google Scholar]
- Rugh, W.J. Analytical framework for gain scheduling. IEEE Contr.Sys. Mag. 11(1). -pp. 79–84. [Google Scholar]
- Wu, F. Gain-scheduling control of LFT systems using parameter dependent Lyapunov functions. Automatica. 42 (1), pp. 39–50, (2006). [Google Scholar]
- Bruzelius, F. Linear Parameter-Varying Systems an approach to gain scheduling. Chalmers University of Technology, (2004). [Google Scholar]
- Packard, A. K. Gain scheduling via linear fractional transformations. Systems Control Letters. 22, pp. 79–92, (1994) [Google Scholar]
- Apkarian, P. Advanced gain-scheduling techniques for uncertain systems. IEEE Control Systems Society. 6 (1), pp. 21–32, (1997) [Google Scholar]
- Rugh, W.J. Research on gain scheduling. Automatica. 36 (10), pp. 1401–1425, (2000) [Google Scholar]
- Ilchmann, A. A behavioral approach to time-varying linear systems. SIAM Journal of Control Optimization. 44 (5), pp. 1725–1747, (2005) [Google Scholar]
- Apkarian, P. Self-scheduled H go control of linear parameter-varying systems. Automatica. 31, pp. 1251–1261, (1995) [CrossRef] [Google Scholar]
- Blanchini, F. High-gain adaptive control: A derivative-based approach. IEEE Decisionopmation and Control. pp. 3233–3238. (2008) [Google Scholar]
- Ilchmann, A. Tracking control with prescribed transient behavior for systems of known relative degree. Systems and control letters. 55, pp. 396–406, (2006) [Google Scholar]
- Bobtsov, A.A. Upravleniye po vykhodu nelineynymi sistemami s zapazdyvaniyem v usloviyakh neuchtennoy dinamiki. Izvestiya RAN. Teoriya i sistemy upravleniya. 3, pp. 79–87, (2011) [Google Scholar]
- Yakubov M.S., Jamalova G.B. Build an adaptive control system with flexible functions. JournalNX- A Multidisciplinary Peer Reviewed Journal. 6 (10), pp. 393396. (2020) [Google Scholar]
- Zhamalova G.B. Informatsionnoye modelirovaniye s primeneniyem iskusstvennykh neyronnykh setey. Academic research in educational sciences, 1 (3), pp. 729–742, (2020) [Google Scholar]
- Bazarov D. and Vokhidov O. Extinguishing Excess Flow Energy in Spillway Structures. In book: Proceedings of EECE 2020, LNCE 150, pp. 535–545. (2021) DOI: 10.1007/978-3-030-72404-752 [Google Scholar]
- Mallayev A.R., Khusanov S.N. Algoritmy sinteza adaptivnogo suboptimal’nogo regulyatora dlya stokhasticheskogo obekta upravleniya. Materialy mezhdunarodnoy nauchnoy konferentsii «Innovatsionnyy resheniya inzhenerno-tekhnologicheskikh problem sovremennogo proizvodstva». Bukhara. pp. 237–240. (2019) [Google Scholar]
- Shokirov B., Norkulov B., Nishanbaev Kh., Khurazbaev, M., Nazarov, B. Computer simulation of channel processes. E3S Web of Conferences, 97, 05012, (2019) [CrossRef] [EDP Sciences] [Google Scholar]
- Bazarov D., Markova I., Sultanov S. and Kattakulov F. Dynamics of the hydraulic and alluvial regime of the lower reaches of the Amudarya after the commissioning of the Takhiatash and Tuyamuyun hydrosystems. IOP Conf. Ser. Mater. Sci. Eng. 1030, 012110 (2021). [Google Scholar]
- Uralov B., Rakhmatov N., Khidirov S., Uljaev F., Raimova I. Hydraulic modes of damless water intake. IOP Conf. Ser. Mater. Sci. Eng. 1030(1), 012123 (2021) [Google Scholar]
- Matyakubov B., Begmatov I., Raimova I. and Teplova G. Factors for the efficient use of water distribution facilities. IOP Conf. Ser. Mater. Sci. Eng. 883, 012025 (2020). [Google Scholar]
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