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- W3091489247 abstract "This paper investigates a novel synchronisation strategy for controlling Internet-based teleoperation systems. These kinds of systems considerably suffer from network-induced latencies. Random time-varying delays resulted by the Internet deteriorate the stability and performance of teleoperation processes. Moreover, uncertain dynamic elements, including human operators and partially known remote environments introduce further difficulties to the control design of such systems. Utilising the learning capabilities of artificial neural networks, this paper develops an adaptive algorithm to deal with time-delays and uncertainties negatively affecting an Internet-based teleoperation process. The stable convergence of the proposed control algorithm is proved by Lyapunov-Krasovskii stability criteria. Moreover, the robust performance of the controller is also verified via experimental evaluations." @default.
- W3091489247 created "2020-10-08" @default.
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- W3091489247 date "2020-07-01" @default.
- W3091489247 modified "2023-09-23" @default.
- W3091489247 title "Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations" @default.
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- W3091489247 doi "https://doi.org/10.1109/ijcnn48605.2020.9207035" @default.
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