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- An MPC-based Optimal Motion Control Framework for Pendulum-driven . . .
The experimental results show that the MPC-based motion control framework proposed in this work is much better than PID in terms of rapidity and accuracy, and has great advantages over sliding mode controller (SMC) for overshoot, attitude stability, current stability and energy consumption
- tao hu - Google Scholar
Zhejiang University - Cited by 8
- Wang YIXU | Hangzhou | Doctor of Engineering | Zhejiang University . . .
In this study, we propose a new direction controller Hierarchical Terminal Sliding Mode Controller (HTSMC), an instruction planning controller called Model Prediction Control-based Planner (MPCBP
- An MPC-based Optimal Motion Control Framework for Pendulum-driven . . .
The experimental results show that the MPC-based motion control framework proposed in this work is much better than PID in terms of rapidity and accuracy, and has great advantages over sliding mode controller (SMC) for overshoot, attitude stability, current stability and energy consumption
- New Riccati Velocity Controller of the Spherical Robot
In this paper, a new Riccati controller with feedforward compensation based on Kalman observer (FKO-Riccati controller) with better control performance and stronger robustness is proposed for velocity control of the spherical robot An accurate dynamic model of the robot is established
- Mechanical structure of dual pendulum robot designed by Zhao: (1) Motor . . .
This paper presents the design and implementation of a spherical robot with an internal mechanism based on a pendulum The design is based on significant improvements made, including an
- An MPC-based Optimal Motion Control Framework for Pendulum-driven . . .
The experimental results show that the MPC-based motion control framework proposed in this work is much better than PID in terms of rapidity and accuracy, and has great advantages over sliding mode controller (SMC) for overshoot, attitude stability, current stability and energy consumption
- A Motion Planning and Tracking Framework for Autonomous Vehicles Based . . .
This paper presents a novel motion planning and tracking framework for automated vehicles based on artificial potential field (APF) elaborated resistance approa
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