Intelligent robust control of dynamic unstable autonomous robot based on quantum computing technology

Intelligent robust control of dynamic unstable autonomous robot based on quantum computing technology

Andrey G. Reshetnikov
Candidate of Engineering Sciences, Senior Research Scientist, Joint Institute for Nuclear Research (JINR), Meshcheryakov Laboratory of Information Technologies, 6, ul. Joliot-Curie, Dubna, Moscow region, 141980, Russia; Assistant Professor, Dubna State University, Institute of System Analysis and Control, 19, Universitetskaya ul., Dubna, Moscow region, 141980, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0003-2528-5201

Roman Yu. Kapkov
Businessman, Teacher-Researcher, Dubna State University, Institute of System Analysis and Control, 19, Universitetskaya ul., Dubna, Moscow region, 141980, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Olga Yu. Tyatyushkina
Candidate of Engineering Sciences, Assistant Professor, Dubna State University, Institute of System Analysis and Control, 19, Universitetskaya ul., Dubna, Moscow region, 141980, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0009-0004-2343-0799

Sergey V. Ulyanov
Doctor of Physical and Mathematical Sciences, Chief Research Scientist, Joint Institute for Nuclear Research (JINR), Meshcheryakov Laboratory of Information Technologies, 6, ul. Joliot-Curie, Dubna, Moscow region, 141980, Russia; Professor, Dubna State University, Institute of System Analysis and Control, 19, Universitetskaya ul., Dubna, Moscow region, 141980, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0001-7409-9531

UDC identifier: 681.5:004.896

EDN: ZFHAUN

Abstract. This paper presents the design technology of intelligent control system based on quantum fuzzy inference. The hardware and software implementation of quantum fuzzy inference is carried out on a classical processor. The algorithm is based on two fuzzy knowledge bases developed on the basis of soft computing technology. The comparison of the results of physical experiments PID-controller, fuzzy controller and quantum fuzzy controllers with different types of quantum and classical correlations presented. Tuning the quantum controllers made by means of a remote connection to the control object in real time.

Key words: intelligent control, quantum fuzzy inference, fuzzy controller, robust knowledge base, remote connection

For citation: Reshetnikov, A.G., Kapkov, R.U., Tyatyushkina, O.Yu. and Ulyanov, S.V. (2025), "Intelligent robust control of dynamic unstable autonomous robot based on quantum computing technology", Robotics and Technical Cybernetics, vol. 13, no. 3, pp. 216-224, EDN: ZFHAUN. (in Russian).

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Received 09.07.2024
Revised 16.09.2024
Accepted 24.10.2024