Regular Algorithms for the Parametric Estimation of the Uncertain Object Control

Igamberdiev, H. Z.; Mamirov, Uktam

doi:10.1007/978-3-030-68004-6_42

Cited by 8 publications

(3 citation statements)

References 2 publications

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“…The equation of the decomposed system will have the form: )𝐷 𝑙𝑜𝑤 (𝑥 2 0 , 𝑥 3𝜓 )); (11) where the functions ∆𝐹 and 𝑓 𝑖 are calculated by formulas ( 8), (7) provided that 𝑥 1 = 0; 𝑥 4 = 𝑥 4 0 ; 𝑥 2 = 𝑥 2 0 = 𝑓(𝑥 4 0 , 𝐷 𝑏 − 𝐷 𝑐𝑜𝑜𝑙 ). Thus, the right-hand side of ( 11 As can be seen from this graph, the function on the right in ( 11), under any loads, is monotonically decreasing in almost the entire physically permissible range of the 𝑥 3 coordinate change and intersects the abscissa axis at a single point.…”

Section: Methodsmentioning

confidence: 99%

“…The authors of the paper [11] investigate the application of synergetic synthesis method to achieve optimal control quality of steam generators. Synergetics is a science that studies complex systems and their interactions, and synergetic synthesis offers an approach based on combining different elements of a system to jointly achieve higher efficiency and synergy.…”

Section: Introductionmentioning

confidence: 99%

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Integrated application of synergetic approach for enhancing intelligent steam generator control systems

Isamiddin,

Dilnoza

2024

IJECE

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This article focuses on the integrated application of the synergetic approach to enhance the quality of intelligent steam generator control systems.By combining various techniques such as model-based control, adaptive control, and artificial intelligence, an efficient and flexible control system can be developed. Model-based control utilizes mathematical models of steam generators to formulate control algorithms and predict system behavior. Adaptive control enables the system to adapt to changing conditions by adjusting control parameters based on real-time measurements. Artificial intelligence techniques, including neural networks and genetic algorithms, facilitate learning, optimization, and data-driven decision-making processes. The objectives of this research are to investigate the benefits of the synergetic approach in steam generator control, including improved steam generation efficiency, optimized energy consumption, enhanced system stability and reliability, and adaptability to varying operating conditions and disturbances. The findings and conclusions of this study are expected to provide valuable insights for engineers, researchers, and professionals involved in the design and implementation of intelligent steam generator control systems. By integrating the synergetic approach, substantial enhancements in control quality can be achieved, leading to optimal operation and maximum efficiency of power plants.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated application of synergetic approach for enhancing intelligent steam generator control systems

Isamiddin,

Dilnoza

2024

IJECE

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“…In the development of the intelligent control system of the bioreactor, it is desirable to use the fuzzy adjuster and to form a rule base for its operation. For this purpose, using the SIMULINK library in the MATLAB software package [10][11][12][13], the following intelligent control system of the bioreactor control based on the fuzzy adjuster was built. A bioreactor used in the process of bacterial oxidation was taken as an object in this constructed structural scheme.…”

Section: Methodsmentioning

confidence: 99%

Fuzzy-logic system for regulating the temperature regime of a bioreactor in the process of bacterial oxidation

Jumaev,

Makhmudov,

Isabekova

et al. 2024

E3S Web of Conf.

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In this article, a simulation model of an intelligent control system for a bioreactor used in the bacterial oxidation process of sulfide deposits with complex, gold-enriched content is developed using the functional blocks from the Fuzzy Logic Toolbox library in the MATLAB software package. Furthermore, the mathematical model of the bioreactor is represented through its transfer function in the significant adjustment channel. A rule base is established to regulate the variation of input and output parameters for the fuzzy control system. The study reveals that employing a fuzzy controller for bioreactor systems is an effective method for system adjustment.

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Stable Algorithms for Solving the Problem of Determining the Weighting Coefficients of Neural Networks with Radial-Basis Activation Functions

Igamberdiev

Yusupbekov

Mamirov

et al. 2022

11th International Conference on Theory and Application of Soft Computing, Computing With Words and Perceptions and Artificial

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Regular Algorithms for the Parametric Estimation of the Uncertain Object Control

Cited by 8 publications

References 2 publications

Integrated application of synergetic approach for enhancing intelligent steam generator control systems

Integrated application of synergetic approach for enhancing intelligent steam generator control systems

Fuzzy-logic system for regulating the temperature regime of a bioreactor in the process of bacterial oxidation

Stable Algorithms for Solving the Problem of Determining the Weighting Coefficients of Neural Networks with Radial-Basis Activation Functions

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