HIGHLIGHTS
- What: The authors propose an effective strategy that combines robust terms with adaptive neural_networks to solve the control problems of nonlinear systems caused by disturbances and unknown nonlinear terms . The authors develop a teleoperation model based on the integral barrier Lyapunov function and define a trajectory tracking objective function, formulating it as an optimization model to minimize prediction errors.
- Who: Yixin Song from the Nanjing University of Posts and Telecommunications, Nanjing, China have published the article: A master-slave teleoperation system control model based on model predictive control with fast dynamic response, in the : Proceedings . . .

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