状态空间表示的英文

• state-space representation

• "状态"英文翻译    status; state; condition; st ...
• "空间"英文翻译    space; enclosure; room; blan ...
• "表示"英文翻译    0
• "状态空间" 英文翻译 :    state ace; state space (controls)
• "状态空间法" 英文翻译 :    state-space method
• "状态空间图" 英文翻译 :    state-space graph
• "状态空间分析" 英文翻译 :    state space analysis
• "状态空间结构" 英文翻译 :    state space construction
• "状态空间滤波" 英文翻译 :    state space filtering
• "状态空间描述" 英文翻译 :    state space description
• "状态空间模型" 英文翻译 :    state space model
• "状态空间搜索" 英文翻译 :    state space search
• "紧凑状态空间系统" 英文翻译 :    compact state-space system
• "盲目状态空间搜索" 英文翻译 :    blind state space search
• "状态空间动力学" 英文翻译 :    state space kinetics
• "状态空间系统矩阵" 英文翻译 :    state space system matrix
• "态空间" 英文翻译 :    state space
• "静态空间" 英文翻译 :    html-100
• "生态空间" 英文翻译 :    ecospace
• "组态空间" 英文翻译 :    configuration space
• "中间表示" 英文翻译 :    intermediate representation
• "可用空间表" 英文翻译 :    available space list; available space table; list of available space
• "空间表象" 英文翻译 :    spatial imagery
• "自由空间表" 英文翻译 :    free space list
• "动态空间回收" 英文翻译 :    dynamic space reclamation

• State space representation
  状态空间表示
• Because the design of state space of the combinatorial problem is much easier than design of the searching algorithm , the present of the general searching algorithm is the apparent progress for the searching technology
  因为组合问题的状态空间表示比原来的搜索求解容易的多，通用搜索算法的提出是搜索技术的一个明显的进步。
• Supposed algorithm b is the concrete searching algorithm for the combinatorial problem p . the parameter of algorithm a corresponding to algorithm b is the algorithm that denotes the combinatorial problem p in the way of the state space
  设b是求解组合问题p的具体搜索算法，算法a对应于算法b的参数就是用状态空间表示组合问题p的算法。
• In the course of modeling , we present multi - step generalized gradient method and multi - stage curve fitting technique , prove convergence of multi - step generalized gradient method by using differential equation stable theory , analyze the error of multi - stage curve fitting technique by using inner space , creat knowledge base of water network system by using the maximum subordinate principle of and near - select principle of pattern recognition . at last we make the optimal running scheme of water network system based on heuristic search technique of artificial intelligence and global feedback immediate coordination method of large scale system theory
  在建立系统模型的过程中,提出了多步广义梯度法和多层曲线拟合的建模方法,并用微分方程稳定性理论证明了多步广度梯度法收敛性,用内积空间的有关知识对多层曲线拟合进行误差分析;应用模糊数学中的最大隶属度原则和模糊识别中的择近原则和人工智能中状态空间表示法建立注水系统的知识库;用人工智能中的启发式搜索技术和大系统理论中的具有全局反馈的直接协调法制定注水系统的优化运行方案。
• In basic action layer ' s designing , it uses a fuzzy - pid control algorithm that brings the system with a good dynamic and static performance . in the whole decision - making process , the protean situation on the competition ground is expressed by an artificial intelligence method for describing the state space that is constituted by selecting a small number of discrete representative states . desired actions are set for every robot based on the tasks of the system and the strategy
  其中在进行基本动作层的设计时，采用了模糊控制与pid控制相结合的智能控制算法，使系统具有良好的动、静态品质；而在进行整体决策时，采用了人工智能的状态空间表示方法，在比赛场上瞬息万变的态势中选择少量的具有代表性的离散状态来构成状态空间，再根据系统需要完成的任务，为机器人确定有限的动作集合，并通过决策推理，给每个机器人选择合适的动作，从而决策得出机器人的左右轮转速值，实现对系统的实时控制。