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Robust tube-based MPC for constrained mobile robots under slip conditions

Ramón González, Mirko Fiacchini, José Luís Guzmán, Teodoro Álamo

发表年份
2009
引用次数
17

摘要

This paper focuses on the design of a robust tube-based Model Predictive Control law for the control of constrained mobile robots. A time-varying trajectory tracking error model has been used, where uncertainties are assumed to be bounded and additive. The proposed solution to the control problem is a tube-based MPC ensuring robustness and stability. A comparative simulation example is presented showing the promising behavior of the robust MPC controller.

关键词

Control theory (sociology)Model predictive controlRobustness (evolution)Mobile robotBounded functionTrajectoryComputer scienceRobotRobust controlStability (learning theory)

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