A navigation control strategy for mobile robot is designed by the tight integration of reflecting behavior, reactive behavior and deliberative module based on distributed system.
采用分布式系统将反射式行为、反应式行为与慎思规划相结合，设计了移动机器人导航控制策略。
Model predictive control (MPC), also known as receding horizon control (RHC), is a class of model-based control theories that use linear or nonlinear process models to forecast system behavior.
模型预测控制(MPC)，也称为滚动时域控制(RHC)，是一种基于模型的控制理论，采用线性或非线性模型预测系统的活动。
In this paper, based on the bifurcation behavior of the magnetic levitation control system, the range of the parameters of the controller's are achieved in the theory.
本文基于磁悬浮控制系统的分叉特性，提出了一种从理论上确定控制器参数范围的方法。
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