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Nash Bargaining Solution-Based Multi-Objective Model Predictive Control for Constrained Interactive Robots
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作者 Minglei Zhu Jun Qi 《IEEE/CAA Journal of Automatica Sinica》 2025年第7期1516-1518,共3页
Dear Editor,This letter proposes a novel Nash bargaining solution-based multiobjective model predictive control(MPC)scheme to deal with the interaction force control and the path-following problem of the constrained i... Dear Editor,This letter proposes a novel Nash bargaining solution-based multiobjective model predictive control(MPC)scheme to deal with the interaction force control and the path-following problem of the constrained interactive robot.Considering the elastic interaction force model,a mechanical trade-off always exists between the interaction force and position,which means that neither force nor path following can satisfy their desired demands completely.Based on this consideration,two irreconcilable control specifications,the force object function and the position track object function,are proposed,and a new multi-objective MPC scheme is then designed. 展开更多
关键词 constrained interactive robots constrained interactive robotconsidering force path following interaction force modela interaction force control Nash bargaining solution path following problem multi objective model predictive control
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