A novel two-layer interactive multiple model (IMM) tracking algorithm for turn maneuver is proposed.
针对转弯机动目标跟踪，提出了一种两层交互多模型(IMM)跟踪算法。
A multiple model based generalized predictive control is provided for complex nonlinear discrete time system.
对于复杂的离散时间非线性系统，提出一种基于多模型的广义预测控制方法。
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 rolling multiple model weighted average estimation algorithm is presented for tracking the fast time varying model parameters.
为了跟踪快时变参数，提出了一种滚动多模型加权平均参数估计算法。
Focusing on the design of the model set for the interacting multiple model (IMM) algorithm, a model set design method is proposed.
针对交互式多模型(IMM)算法中模型集的设计问题，提出一种模型集设计方法。
The closed-loop system is proved to be bounded-input and bounded-output stable when the multiple model adaptive controller is used.
可以证明多模型自适应控制器能够保证闭环系统是输入输出有界稳定的。
This paper presents an interactive multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target.
给出了一种利用自适应转弯速率模型的IMM跟踪算法，可以用于机动目标的跟踪中。
A switching function with integral property and minimum variance algorithm are used to set up the multiple model adaptive controller.
采用了具有积分性质的切换指标函数作为切换法则和最小方差的控制方法构成了多模型自适应控制器。
To solve such problem as too many models and long computing time, a hierarchical multiple model adaptive decoupling controller is designed.
针对多模型控制方法中模型数目巨大，计算时间长等问题，提出了分层递阶结构多模型自适应前馈解耦控制器。
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。
The interacting multiple model(IMM) algorithm has been shown to be one of the most effective estimation algorithms in the field of maneuvering target tracking.
在交互式多模型算法中引入神经网络算法以改进目标跟踪的精度。
Abstract: The paper presents a variable structure multiple model estimation based on two-layer model grid, which is used to state estimation for hybrid system.
摘要：文章提出了一种双层网格变结构多模型方法用于复杂系统的状态估计。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Through multi-hypothesis, the problems of target range estimation and ambiguity resolving were converted to the problems of static multiple model estimation and decision.
通过多假设的方法，把机载火控雷达高重复频率线性调频测距模式下的目标距离估计和模糊分辨问题转变为静态多模型估计和判决问题。
The basic idea of the variable-structure multiple model algorithm is expatiated. A variable-structure IMM algorithm for tracking a maneuvering target is studied and designed.
将当前统计模型和变结构多模型估计算法相结合，阐述了变结构多模型算法的基本思想，研究和设计了一种用于跟踪机动目标的变结构交互多模型算法。
An adaptive multiple model algorithm based on residual is presented, its basic idea is to assign the probability of each model in overall estimation through the size of residual.
提出了一种基于残差的自适应多模型算法，其基本思想是通过残差的大小来分配多模型中单个模型在整体估计中的权重。
Aiming at the problem of measurement conversion within the target tracking, a new algorithm combined best linear unbiased estimation with interacting multiple model methods is derived.
针对机动目标跟踪中常见的量测转换问题，提出了一种基于球坐标系下最优线性无偏估计滤波的交互多模型算法。
The method for the multiple model failure detection is presented based on wavelet neural network and the designed neural network observer to increase the precision of the identification.
提出了一种利用小波神经网络辨识非线性系统多模型故障的方法。
By using PWL method an optimal model set of nonlinear system multiple model adaptive control algorithm is given, which reduces the heavy computation burden in multiple model adaptive control.
给出了非线性系统多模型自适应控制算法的优化模型集建立方法，解决了多模型自适应控制模型多、计算量大的问题。
Multiple model merging for submission.
在提交时合并多个模型。
For this problem, a Multiple Model Adaptive Estimator (MMAE) based method for rotor crack diagnosis is proposed.
针对这个问题，提出了基于多模型估计(MMAE)的转子裂纹故障诊断方法。
Multiple model control is an effective way for solving complicated problems such as time varying, nonlinear and parameters uncertainty.
多模型控制是解决系统时变、非线性、参数不确定性等复杂问题得一种有效方法。
The adaptive grid Interacting Multiple Model algorithm can adjust model parameter adaptively according to the target's mode, and thus realizes target tracking.
自适应网格交互多模算法能够根据目标的运动模式，自适应调整系统各模型参数，从而实现对目标的跟踪。
Maneuver detection is a key issue in the multiple-model target tracking applications.
机动检测是多模型目标跟踪中的一个关键问题。
The Interacting Multiple-Model (IMM) algorithm for passive localization of maneuvering emitter by mono-static is discussed in this paper.
探讨了一种利用单个观测站对机动辐射源目标进行无源定位与跟踪的交互式多模型（IMM）算法。
For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.
提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。
There were no significant differences between one-model problem and multiple-model problem, the number of models seemed not to be a crucial factor affecting children's temporal reasoning;
单模型和多模型任务无显著差异，模型数量似乎不是影响儿童推理成绩的关键因素；
The use of variable structure control theory and multiple-model conversion makes the vehicle steering control have favorable tracking capability and robustness.
运用变结构滑模控制理论和多模型切换，使车辆转向控制具有良好的跟踪性能和鲁棒性。
Then based on the primary isolation result, the fault is accurately located by the multiple-model fusion filtering algorithm, and the fused state and fault estimates are obtained as well.
在初步分离结果的基础上，利用多模型融合滤波算法对故障进行精确定位并得到状态和故障的融合估计。
Then based on the primary isolation result, the fault is accurately located by the multiple-model fusion filtering algorithm, and the fused state and fault estimates are obtained as well.
在初步分离结果的基础上，利用多模型融合滤波算法对故障进行精确定位并得到状态和故障的融合估计。
应用推荐