Abstract
Computational errors and multiple time−varying delays will inevitably affect control performance of networked inverted pendulum visual servo system (NIPVSS). This paper investigates guaranteed cost control of NIPVSS. Firstly, computational errors is converted into parameter uncertainties and NIPVSS is then modeled as a closed-loop system with parameter uncertainties and multiple time−varying delays. Secondly, a guarantee cost controller is designed to maintain the asymptotic stability of NIPVSS and meanwhile minimize the performance index. Finally, experimental results demonstrate the feasibility of the proposed method while the effectiveness of parameter uncertainties and multiple time−varying delays on the system stability and performance index are analyzed.
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Acknowledgments
This work is supported by Project of Science and Technology Commission of Shanghai Municipality, China (19510750300, 20JC1414000, 195007 12300), the National Natural Science Foundation of China (92067106), and 111 Project (D18003).
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Lu, Q., Du, D., Zhang, C., Fei, M., Rakić, A. (2021). Guaranteed Cost Control of Networked Inverted Pendulum Visual Servo System with Computational Errors and Multiple Time−Varying Delays. In: Han, Q., McLoone, S., Peng, C., Zhang, B. (eds) Intelligent Equipment, Robots, and Vehicles. LSMS ICSEE 2021 2021. Communications in Computer and Information Science, vol 1469. Springer, Singapore. https://doi.org/10.1007/978-981-16-7213-2_56
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DOI: https://doi.org/10.1007/978-981-16-7213-2_56
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