Adaptive teleoperation system with neural network-based multiple model control
Summary: This paper presents an adaptive teleoperation which is robust to time-delay and environmental uncertainties while assuring the transparent performance. A novel theoretical framework and algorithms for the teleoperation system have been built up with neural network-based multiple model control and time forward state observer. Conditions for stability and transparency performance are also identified. Simulations show that the system is stable and in good performance.
robust to time-delay and environmental uncertainties
neural network-based multiple model control
scientific article; zbMATH DE number 5793768