Robust PID Controller Design on Quantum Fuzzy Inference: Imperfect KB Quantum Self-Organization Effect-Quantum Supremacy Effect

Authors

  • L V Litvintseva INESYS LLC (EFKO GROUP), Russia
  • S V Ulyanov INESYS LLC (EFKO GROUP), Russia
  • Sergey Victorovich Ulyanov State University “Dubna”

DOI:

https://doi.org/10.30564/aia.v2i1.1401

Abstract

Quantum PID controller design based on quantum fuzzy inference from two K-gains ( and ) of classical PID (with constant K-gains) controllers investigated. Computational intelligence toolkit as soft computing technology in learning situations applied. Quantum approach performance in design of robust conventional controllers as intractable classical task of control system theory demonstrated. Simulation of intelligent control Benchmark demonstrated.

Keywords:

PID controller tuning; quantum fuzzy inference; intelligent control; quantum self-organization; imperfect KB

References

[1] L. V. Litvintseva, S. V. Ulyanov, V. S. Ulyanov, Design of robust knowledge bases of fuzzy controllers for intelligent control of substantially nonlinear dynamic systems: II. A soft computing optimizer and robustness of intelligent control systems. J. of Computer and Systems Sci. Intern. 2006. (45) 5. 744-771 DOI:https://doi.org/10.1134/S106423070605008X.

[2] L. V. Litvintseva, S. V. Ulyanov, I.S. Ulyanov, V. S. Ulyanov, Quantum fuzzy inference for knowledge base design in robust intelligent controllers. J. of Computer and Systems Sci. Intern. 2007. (46) 6. 908-961 DOI:https://doi.org/10.1134/S1064230707060081.

[3] L. V. Litvintseva, S. V. Ulyanov, Intelligent control systems. I. Quantum computing and self-organization algorithm. J. of Computer and Systems Sci. Intern. 2009. (48) 6. 946-984 DOI:https://doi.org/10.1134/S1064230709060112.

[4] L. V. Litvintseva, S. V. Ulyanov, Intelligent control systems. II. Design of self-organized robust knowledge bases in contingency control situations. J. of Computer and Systems Sci. Intern. 2011. (50) 2. 250-292 DOI:https://doi.org/10.1134/S1064230710061036.

[5] S.V. Ulyanov, Quantum fuzzy inference based on quantum genetic algorithm: Quantum simulator in intelligent robotics. R. A. Aliev et al. (Eds.): ICSCCW 2019, AISC (1095). 1–8, 2020. DOI:https://doi.org/10.1007/978-3-030-35249-3_9.

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How to Cite

Litvintseva, L. V., Ulyanov, S. V., & Ulyanov, S. V. (2020). Robust PID Controller Design on Quantum Fuzzy Inference: Imperfect KB Quantum Self-Organization Effect-Quantum Supremacy Effect. Artificial Intelligence Advances, 2(1), 59–70. https://doi.org/10.30564/aia.v2i1.1401

Issue

Vol. 2 , Iss. 1 (April 2020)

Article Type

Article

License

Copyright © 2020 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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