Abstract
It has been shown that to achieve the required level of measurement accuracy and reliability, it is necessary to transition from quality control of finished products to quality management based on cost-effective methods during the stages when product properties are formed. It is shown that the complexity of measuring optical signal parameters during analysis or synthesis requires them to be considered as part of a general information processing system. Based on the nonlinear filtration method, an optimal procedure for measuring a variable position in time against a background of spatial noise was obtained. Structural diagrams of optimal measuring instruments for monitoring the position of optical signals have been considered.
First Page
40
Last Page
46
References
- Gold, B., Rejder Ch. (1973). Tsifrovaya obrabotka signalov [Digital Signal Processing]. M.: Sovetskoe radio, 368 p. (in Russian).
- Veksler, V.M., Kazamarov, A.A., Kharol, D.M. (1975). Optimal'noe izmerenie parametrov opticheskikh signalov na fone prostranstvennykh pomekh [Optimal measurement of optical signal parameters against spatial interference]. Avtomatika i telemekhanika. 3. 38. (in Russian).
- Khazen, E.M. (1968). Metody optimal'nykh statisticheskikh reshenij i zadachi optimal'nogo upravleniya [Methods of Optimal Statistical Decisions and Optimal Control Problems]. M.: Sovetskoe radio. (in Russian).
- Bryson, A., Johansen, D. (1965). Linear filtering for timevaring systems using - measurements containing colared noise. IEEE Trans. 10(1).
- Stratonovich, R.L. (1960). Primenenie teorii protsessov Markova dlya optimal'noj fil'tratsii signalov [Application of Markov process theory to optimal signal filtering]. Radiotekhnika i elektronika. 5(11). 1751. (in Russian).
- Tikhonov, V.I. (1966). Statisticheskaya radiotekhnika [Statistical Radio Engineering]. M.: Sovetskoe radio. (in Russian).
- Amiantov, I.N. (1971). Izbrannye voprosy statisticheskoj teorii svyazi [Selected Problems of Statistical Communication Theory]. M.: Sovetskoe radio. (in Russian).
- Kobzarev, Yu.B. (ed.) (1969). Sovremennaya radiolokatsiya [Modern Radar]. M.: Sovetskoe radio. (in Russian).
- Volkov, I.K. (1994). Usloviya identifitsiruemosti matematicheskikh modelej ehvolyutsi-onnykh protsessov po rezul'tatam diskretnykh kosvennykh izmerenij vektora sostoyaniya [Identifiability conditions for mathematical models of evolutionary processes based on discrete indirect measurements of the state vector]. Izvestiya RAN. Tekhnicheskaya kibernetika. 6. 65-72. (in Russian).
- Gron, D. (1979). Metody identifikatsii sistem [Methods of System Identification]. M.: Mir, 302 p. (in Russian).
- Dmitriev, A.N., Egupov, N.D., Shershenaliev, Zh.Sh. (1986). Spektral'nye metody analiza, sinteza i identifikatsii sistem upravleniya [Spectral Methods of Analysis, Synthesis and Identification of Control Systems]. Frunze: Ilim, 234 p. (in Russian).
- Krut'ko, P.D. (1987). Obratnye zadachi dinamiki upravlyaemykh sistem. Linejnye modeli [Inverse Problems of Dynamics of Controlled Systems. Linear Models]. M.: Nauka, 304 p. (in Russian).
- Moiseev, N.N., Ivanilov, Yu.P., Stolyarova, E.M. (1978). Metody optimizatsii [Optimization Methods]. M.: Nauka, 420 p. (in Russian).
- Pupkov, K.A., Egupov, N.D., Trofimov, A.I. (1998). Statisticheskie metody analiza, sinteza i identifikatsii sistem avtomaticheskogo upravleniya [Statistical Methods of Analysis, Synthesis and Identification of Automatic Control Systems]. M.: Izd-vo MGTU im. N.E. Baumana, 560 p. (in Russian).
- Rey, U.Kh. (1983). Metody upravleniya tekhnologicheskimi protsessami [Methods of Process Control]. M.: Mir, 386 p. (in Russian).
- Eykhoff, P. (ed.) (1983). Sovremennye metody identifikatsii sistem [Modern Methods of System Identification]. M.: Mir, 440 p. (in Russian).
- Tu, Yu. (1971). Sovremennaya teoriya upravleniya [Modern Control Theory]. M.: Mashinostroenie, 474 p. (in Russian).
- Eykhoff, P. (1975). Osnovy identifikatsii sistem upravleniya: otsenivanie parametrov i sostoyaniya [Fundamentals of Control System Identification: Parameter and State Estimation]. M.: Mir, 684 p. (in Russian).
- Streits, V. (1985). Metod prostranstva sostoyanij v teorii diskretnykh sistem upravleniya [State-Space Method in the Theory of Discrete Control Systems]. M.: Nauka, Glavnaya redaktsiya fiziko-matematicheskoj literatury, 296 p. (in Russian).
- Kadyrov, A.A. (2010). Metody modelirovaniya i issledovaniya nelinejnykh i logiko-dinamicheskikh sistem upravleniya [Methods of Modeling and Research of Nonlinear and Logic-Dynamic Control Systems]. T.: Yangi asr avlodi, 186 p. (in Russian).
- Aleksandrov, A.G. (2003). Optimal'nye i adaptivnye sistemy [Optimal and Adaptive Systems]. M.: Vysshaya shkola, 282 p. (in Russian).
- Igamberdiev, Kh.Z., Sevinov, Zh.U. (2015). Teoriya avtomaticheskogo upravleniya. Uchebno-metodicheskoe posobie k vypolneniyu prakticheskikh rabot [Automatic Control Theory. Study Guide for Practical Work]. Tashkent: TashGTU, 100 p. (in Russian).
- Rey, U. (1983). Metody upravleniya tekhnologicheskimi protsessami [Methods of Process Control]. M.: Mir, 368 p. (in Russian).
Recommended Citation
Shipulin, Yuriy Gennadyevich and Xusanov, Azimjon Mamadaliyevich
(2026)
"OPTIMAL PROCEDURE FOR MEASURING THE PARAMETERS OF OPTICAL SIGNALS CONSIDERING NOISE,"
Chemical Technology, Control and Management: Vol. 2026:
Iss.
4, Article 5.
DOI: https://doi.org/10.59048/2181-1105.1787
Included in
Complex Fluids Commons, Controls and Control Theory Commons, Industrial Technology Commons, Process Control and Systems Commons