机动检测是多模型目标跟踪中的一个关键问题。
Maneuver detection is a key issue in the multiple-model target tracking applications.
之所以存在这么多模型，是因为它们都只是在某些场合有用。
The reason there are so many models is that each of them is useful, but only in some contexts.
最后给出了多模型融合建模算法在青霉素发酵过程中应用的结果。
Finally, results of the multi model fusion modeling algorithms for penicillin fermentation process are given.
针对多变量非线性离散时间系统设计多模型神经网络解耦控制器。
A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system.
针对交互式多模型(IMM)，提出一种自适应跟踪数据率的算法。
An adaptive tracking data rate algorithm based on interactive multi-model (IMM) is proposed.
这里面有几篇关于交互式多模型跟踪的英文论文，希望对大家有帮助！
There are a few of the interactive multi-model tracking the English papers, you would like to help!
唯一获得可伸缩性的方法是变换成单对多模型，在每个应用里保存多个用户身份。
The only way to scale is to move to a one-to-many model that includes the number of user identities in each application.
我们不会采取这种方法，而是使用更传统的多对多模型，如清单2所示。
Instead of taking this approach, we will use a more traditional many-to-many model, as shown in Listing 2.
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。
A rolling multiple model weighted average estimation algorithm is presented for tracking the fast time varying model parameters.
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。
The closed-loop system is proved to be bounded-input and bounded-output stable when the multiple model adaptive controller is used.
研究了一类可以抑制切换时刻输出跳跃的多模型切换控制器的设计问题。
The problem of designing a switching controller for chattering attenuation in multi-model systems is considered.
研究了一类可以抑制切换时刻输出跳跃的多模型切换控制器的设计问题。
The problem of designing a switching controller for chattering attenuation in multi-model system is considered.
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。
An interacting multiple model (IMM) adaptive filtering algorithm based on expected system noise model was presented.
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 novel two-layer interactive multiple model (IMM) tracking algorithm for turn maneuver is proposed.
研究了多模型预测函数控制在连续生化过程和流化床热风温度控制中的应用。
The application of multiple models predictive function control in continuous fermentation processes and drying fluid-bed is studied.
为了解决切换多模型预测控制的抖动问题，提出了加权多模型模糊预测控制。
To solve the problem of perturbation of witching multi-model predictive control, weighted multi-model fuzzy predictive control is put forward.
林火蔓延多模型预测系统是根据产生式规则为推理原则建立的多模型预测系统。
The multi-models forecast system for the forest fire spread acts according to the production rule for the inference principle establishment.
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。
For this problem, a Multiple Model Adaptive Estimator (MMAE) based method for rotor crack diagnosis is proposed.
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。
Multiple model control is an effective way for solving complicated problems such as time varying, nonlinear and parameters uncertainty.
讨论了建立卡尔曼滤波器的基本变量，最后探讨了卡尔曼滤波的多模型估计算法。
The basic variations in Kalman filter architecture are discussed and the multiple model estimation algorithm is presented as well.
模型VOB容器能够存储多模型组件；部署VOB容器能够存储可部署资产的多组件。
A model VOB container can store multiple model components; a deployment VOB container can store multiple components of deployable assets.
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。
In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
最后，设计了以多变量内模控制器作为局部模型控制器的模糊多模型协调控制系统。
At last, the fuzzy multi-model coordinated control system which USES multi-variable inner model controller as the local controller has been designed.
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。
Focusing on the design of the model set for the interacting multiple model (IMM) algorithm, a model set design method is proposed.
针对混沌系统的控制问题，提出了一种基于神经气网络的模糊多模型自适应控制方法。
Aiming at chaotic system, this paper proposes a multi-model adaptive control strategy based on a neural-gas network with fuzzy logic.
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。
The use of variable structure control theory and multiple-model conversion makes the vehicle steering control have favorable tracking capability and robustness.
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。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
在具有控制和轨迹约束的再入制导中，提出了一种新的基于多模型预测再入飞行器纵向制导方法。
A new method based on multi-model prediction is proposed for the longitudinal guidance of re-entry vehicles with trajectory and control constraints.
针对切换控制中模型匹配准则的确定问题，提出了一种基于模型有效匹配的多模型切换控制算法。
In order to determine the model matching index of switching control, a multiple models switching control algorithm based on effective model matching was presented.
应用推荐