针对流演算无法表示动作执行时间和单向搜索动作序列的问题,提出了一种基于流演算的表示机器人规划的赋时有色网实现方法——FCRP网(a representation based on fluent calculus for robot plan);提出了一种双向搜索策略,并将其应用到F...针对流演算无法表示动作执行时间和单向搜索动作序列的问题,提出了一种基于流演算的表示机器人规划的赋时有色网实现方法——FCRP网(a representation based on fluent calculus for robot plan);提出了一种双向搜索策略,并将其应用到FCRP网系统的构造方法中。FCRP网系统不仅能对动作、状态以及它们之间的关系进行形式化的描述,而且能动态地规划出机器人实现目标的动作序列,并计算实际执行动作序列所需时间。最后,通过对机器人取咖啡规划实例进行了建模和仿真,证明了FCRP网系统作为一种机器人规划系统可行性以及采用双向搜索策略能提高规划效率。展开更多
In this paper,a novel control structure called feedback scheduling of model-based networked control systems is proposed to cope with a flexible network load and resource constraints.The state update time is adjusted a...In this paper,a novel control structure called feedback scheduling of model-based networked control systems is proposed to cope with a flexible network load and resource constraints.The state update time is adjusted according to the real-time network congestion situation.State observer is used under the situation where the state of the controlled plant could not be acquired.The stability criterion of the proposed structure is proved with time-varying state update time.On the basis of the stability of the novel system structure,the compromise between the control performance and the network utilization is realized by using feedback scheduler. Examples are provided to show the advantage of the proposed control structure.展开更多
文摘针对流演算无法表示动作执行时间和单向搜索动作序列的问题,提出了一种基于流演算的表示机器人规划的赋时有色网实现方法——FCRP网(a representation based on fluent calculus for robot plan);提出了一种双向搜索策略,并将其应用到FCRP网系统的构造方法中。FCRP网系统不仅能对动作、状态以及它们之间的关系进行形式化的描述,而且能动态地规划出机器人实现目标的动作序列,并计算实际执行动作序列所需时间。最后,通过对机器人取咖啡规划实例进行了建模和仿真,证明了FCRP网系统作为一种机器人规划系统可行性以及采用双向搜索策略能提高规划效率。
文摘In this paper,a novel control structure called feedback scheduling of model-based networked control systems is proposed to cope with a flexible network load and resource constraints.The state update time is adjusted according to the real-time network congestion situation.State observer is used under the situation where the state of the controlled plant could not be acquired.The stability criterion of the proposed structure is proved with time-varying state update time.On the basis of the stability of the novel system structure,the compromise between the control performance and the network utilization is realized by using feedback scheduler. Examples are provided to show the advantage of the proposed control structure.
