为了获得更灵活的系统最佳性能调优，可以将多租赁与虚拟化相结合。
You can combine the best of multi-tenancy and virtualization for more flexibility in tuning the system for optimal performance.
通过分析车辆换道时车辆之间的竞争与合作关系，结合多智能体系统，提出一种新的换道模型。
By analyzing the competition and co operation relationship between the vehicles involved in the lane changing behavior, based on the multi agent system, a new lane changing model is presented.
提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。
For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.
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