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- Fuzzy Multiple Model Tracking Algorithm for Manoeuvring Target 机动目标的模糊多模型跟踪算法
- Model set design of the adaptive interacting multiple model tracking algorithm 自适应交互多模型跟踪算法的模型集设计
- Improvement of Conventional Track Panel Production Line to the Need of Assembling Multiple Model Track Panel with Concrete Sleepers 改进传统单线往复式轨排生产线适应多种型号混凝土枕轨排流水组装
- multiple model tracking 多模型跟踪
- In this paper，a fuzzy interacting multiple model is developed to solve data association problem of a new target of MHT multitarget tracking. 摘要 研究了基于模糊交互式多模型算法解决多假设多目标跟踪中的新目标数据相关问题。
- In order to resolve the maneuvering problem in target tracking,an algorithm based on interacting multiple model(IMM) method was presented. 针对目标跟踪中的目标机动问题提出了一种“基于自适应相互作用多模型”的算法。
- This algorithm (mode-measurement-enhanced interacting multiple model generalized filtering algorithm, namely mme-IMM-gfa) is derived by Bayes theory, and is illustrated via a maneuvering target tracking simulation example. 基于贝叶斯估计理论,推导滤波公式,给出了模式观测增强的交互式多模型广义滤波算法。 机动目标跟踪的仿真算例表明其有效性。
- To avoid missing track caused by the target maneuvers in automatic target tracking system, a new maneuvering target tracking technique called threshold interacting multiple model (TIMM) is proposed. 针对如何避免或减少由于目标的机动运动所带来的估计误差问题;提出了具有门限的相互作用多模型估计(TIMM)的新算法.;该算法主要应用于雷达目标自动跟踪系统中
- B-spline active contour model tracking algorithm based on the prediction of moment features is presented. 提出了一种基于矩特征预测的B样条主动轮廓跟踪算法。
- As the operating conditions are changed, a variable-structure system (VSS) tracking error regulator is developed to reduce the model tracking error. 在马达驱动系统参数或工作点变动下，再应用所提之可变结构系统模式追控误差调控器，改善速度模式追控响应特性。
- Jena can create multiple models within a single database. Jena可以在一个数据库内创建多个模型。
- The algorithm used the multiple models to track arbitrary maneuvering of the target. 该算法采用多模型结构以跟踪目标的任意机动。
- Patton, F. D., “Multiple Model of Shear Failure in Rock,” Proc. 1st Cong. of ISRM, Libson, pp.509-513, 1966. 苏怡维，岩石节理面微观力学模式应用性探讨，硕士论文，国立台湾大学土木工程学研究所，台北，1999。
- An interacting multiple model(IMM) adaptive filtering algorithm based on expected system noise model was presented. 本文提出基于期望系统噪声模型的自适应交互式多模型(IMM)算法。
- A new scheme of adaptive fuzzy sliding model variable structure control for a class of uncertain nonlinear system is presented, which is by incorporating adaptive model tracking control and fuzzy control with reaching law. 针对一类非线性不确定系统,把自适应模型跟踪控制和模糊控制与趋近律相结合,提出一种新的自适应模糊滑模变结构控制方案。
- Thus, a recursive and adaptive DVF estimation algorithm based on multiple model approach is developed in this paper. 由此，本文提出一种基于多模方法的递归自适应DVF估计算法。
- In this paper, the adaptive model tracking control (AMFC) is studied and used in the flight simulation servo system for the non linear characterstics of the system and for the specific demands of the dynamic performances. 针对飞行仿真伺服系统动态性能要求的特殊性和系统本身的非线性 ,提出了自适应模型跟踪的有效控制方法。
- Multiple models are created and maintained in parallel in a Software Factory. 模型并行建立和维护。
- Then feedback linearization and model inversion theories are described,model tracking error dynamics is analyzed and the neural network controller and the online learn laws are designed. 接着叙述反馈线性化及模型逆理论,分析系统的模型跟踪误差动力特性,设计神经网络控制器及在线算法。
- Based on the method of minimum prediction error control, a multiple model adaptive controller( MMAC) for discrete time is presented. 基于最小预测误差控制器设计方法,设计离散时间系统多模型自适应控制器,并引入“局部化”方法。
