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Authors: Kazuhiko Takahashi ; Yuka Shiotani and Masafumi Hashimoto

Affiliation: Doshisha University, Japan

ISBN: 978-989-8565-70-9

Keyword(s): Quantum Neural Network, Qubit neuron, Self-tuning Controller, PID Controller, Fuzzy Logic Controller.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Engineering Applications ; Enterprise Information Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Neural Networks Based Control Systems ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing

Abstract: This paper presents a self-tuning controller based on a quantum neural network and investigates the controller’s characteristics for control systems. A multi-layer quantum neural network which uses qubit neurons as an information processing unit is utilized to design an adaptive-type self-tuning controller which conducts the training of the quantum neural network as an online process. As an example of designing the self-tuning controller, either a proportional integral derivative controller or a fuzzy logic controller is utilized as a conventional controller for which parameters are tuned by the quantum neural network. To evaluate the learning performance and capability of the adaptive-type quantum neural self-tuning controller, we conduct computational experiments to control the single-input single-output non-linear discrete time plant. The results of the computational experiments confirm both feasibility and effectiveness of the proposed self-tuning controller.

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Paper citation in several formats:
Takahashi, K.; Shiotani, Y. and Hashimoto, M. (2013). Remarks on an Adaptive-type Self-tuning Controller using Quantum Neural Network with Qubit Neurons.In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-70-9, pages 107-112. DOI: 10.5220/0004425701070112

@conference{icinco13,
author={Kazuhiko Takahashi. and Yuka Shiotani. and Masafumi Hashimoto.},
title={Remarks on an Adaptive-type Self-tuning Controller using Quantum Neural Network with Qubit Neurons},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2013},
pages={107-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004425701070112},
isbn={978-989-8565-70-9},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Remarks on an Adaptive-type Self-tuning Controller using Quantum Neural Network with Qubit Neurons
SN - 978-989-8565-70-9
AU - Takahashi, K.
AU - Shiotani, Y.
AU - Hashimoto, M.
PY - 2013
SP - 107
EP - 112
DO - 10.5220/0004425701070112

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