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- Maneuver Target Tracking Based on Fuzzy Adaptive IMM Algorithm 基于模糊交互多模型的机动目标跟踪方法
- adaptive IMM algorithm 自适应交互多模型算法
- The intelligent self adaptive inverse control method is introduced in this paper, and the variable step size LMS adaptive filter algorithm has been used. 摘要介绍了自适应逆控制方案，采用变步长LMS自适应滤波算法，用该算法建立对象的模型、对象逆模型，并设计了自适应逆控制器。
- Finally,the future research direction is pointed out which is to find adaptive varied structure IMM algorithm,study transition performance in model switch process,and introduce intelligent cont... 最后指出,寻求采用自适应变结构的IMM算法,研究模型切换过程中算法的过渡性能,以及在数据关联中引入混沌、遗传算法等智能控制方法,将是未来多传感器多机动目标研究的方向。
- On the basis of thinning the auto-body film engineering drawings, a self adaptive precision vectorization algorithm for circles on the auto-body engineering drawings was presented. 摘要在车身薄膜图扫描图像细化的基础上，提出一种自适应精确向量化图的算法。
- Simulation result showed that: compared with standard IMM, the adaptive IMM is more effective and has higher precision in tracking. 仿真结果表明了该算法比标准IMM算法具有更高精度的跟踪性能。
- adaptive IMM (Interacting Multiple Model) algorithm 自适应IMM算法
- Application of the modified IMM algorithm in the GPS/INS guided missile is studied. 研究了GPS/INS制导导弹定位新方法 .
- And, unstructured grid and grid self adaptive technology were applied for regional simulation discretion. 结果表明，各方案进气舱／进气道在悬停状态下均存在不同程度的气流分离；
- Through Monte-Carlo simulation,the model set designed is used in the IMM algorithm to track the target. 应用Monte-Carlo仿真;将所设计的模型集用于IMM算法进行目标跟踪.
- Simulation results show that the TIMM algorithm is superior to the traditional IMM algorithm in estimation accuracy. 仿真结果表明，同IMM算法相比较，TIMM算法可减少估计误差，从而提高机动目标的跟踪性能。
- Control and use about electric current self adaption. 电流自适应控制及应用。
- On the basis of simulation and theoretical analysis,a self-adaptive IMM algorithm is firstly presented in the paper. 本文在仿真试验和理论分析基础上,首先给出了一种自适应IMM算法。
- Bace on the Document[5], with regard to the further general multivariable stockastic system, this paper suggests a model reference self adaptive control method. 在文献 [5]的基础上 ;对于更一般的多变量随机系统 ;提出了一种模型参考自适应控制算法 .
- A technique of nonstructured triangular mesh generation which is easy to be incor-porated in the technique of self adaptive mesh refinement is developed. 发展了一种易于和自适应网格加密技术相结合的非结构三角形网格生成技术。
- The emphasis is laid on analysis of the problems and improvements of IMM, and the achievements of IMM algorithm with data association. 通过分析交互式多模型算法本身存在的问题，指出了一些改进方法的可行性与不足；
- The experiment and simulation analysis reveal that the IMM algorithm compares favorably to the kalman filtering algorithm in convergence performance. 实验结果和仿真分析表明IMM算法在收敛性能上有较大改善,综合性能最优。
- The basic idea, the mathematic model and the calculate steps of GIMM are given.In addition, a comparison in GIMM with fixed structure IMM algorithm is done by simulating. 本文给出了GIMM算法的基本思想、算法的模型和计算步骤,并用GIMM算法与固定结构IMM算法进行了仿真比较。
- It has self adaptive, self learning ability. It can obtain characteristics by self learning to the pattern samples and use the knowledge obtained from learning to the followiong recognition. 具有自适应,自学习的能力,可通过对模式样本的自学习,从中获取特征,并能将学习获得的知识应用到后来的识别中。
- It can not only solve the problems existed in the original algorithm, but also achieve to a better performance than IMM algorithm during the entire tracking procedure. 所提出的新算法综合了两者的优点，不仅解决了多分辨率多模型算法中存在的问题，而且其综合滤波性能优于交互式多模型算法。
