NSTL国家科技图书文献中心

1. Model-Based Power Transformer Protection Using Interactive Multiple Model Algorithm NSTL国家科技图书文献中心

Saeed Nikbakhsh Jahr... | Ehsan Hajipour ... - 《IEEE Transactions on Power Delivery》 - 2025,40(1) - 410～422 - 共13页

摘要： multiple model (IMM) algorithm. This way, not only the | a model-based algorithm for protection of the | difficulty in the use of conventional model-based | this paper, multiple* linear models are employed to* | linear models based on the concept of interactive

关键词： Protection | Circuit faults | Voltage measurement | Power transformers | Current measurement | Current transformers | Substations | Mathematical models | Computational modeling | Transformer cores

2. An enhanced mobile localization algorithm integrating multiple AUKF models for mixed indoor environments NSTL国家科技图书文献中心

Jiang, Yi | Gao, Heng ... - 《Measurement Science & Technology》 - 2025,36(1) - 1～13 - 共13页

摘要： filter (AUKF) and interactive multiple model (IMM | environment-based AUKFs are integrated into the IMM | The positioning technology based on ultra | -wideband ranging has been widely applied in the field of | indoor positioning due to its excellent localization

关键词： indoor positioning | NLOS | mixed indoor environments | inaccurate process noise | AUKF

3. Finite-Time Robust Distributed Estimate for Nonlinear Systems With Heterogeneous Sensors NSTL国家科技图书文献中心

Zheng Zhang | Xiwang Dong ... - 《IEEE transactions on cybernetics》 - 2025,55(1) - 136～147 - 共12页

摘要： multiple model (IMM) method is adopted to calculate the | accurate priori prediction results, the interactive | This article proposes a finite-time | distributed state estimation (DSE) algorithm for discrete | -time stochastic nonlinear systems with heterogeneous

关键词： Sensors | Sensor systems | Nonlinear systems | Accuracy | Sensor fusion | Prediction algorithms | Distributed algorithms | Mathematical models | Intelligent sensors | Azimuth

4. Interacting multiple model adaptive robust Kalman filter for process and measurement modeling errors simultaneously NSTL国家科技图书文献中心

Yang, Baojian | Wang, Huaiguang ... - 《Signal Processing》 - 2025,227 - 共8页

摘要： Multiple Model Adaptive Robust Kalman Filter (IMMARKF | robustness of CEEKF using the interacting multiple model | This paper proposes an effective Interactive | (IMM) principle to adapt reasonably to changing | ) without time delay to handle situations where both

关键词： Kalman filter | Robust filter | Adaptive filter | Centered error entropy | Interacting multiple model

5. An Adaptive Robust Filter for GNSS/INS Integrated Navigation System NSTL国家科技图书文献中心

Chunhui Zhao | Anqi Chen ... - 《Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems,Vol. 7》 - International Conference on Autonomous Unmanned Systems - 2024, - 118～128 - 共11页

摘要： interactive multiple model-based adaptive robust enhanced | Kalman filter (IMM-AREKF) algorithm. The algorithm is | observations due to a biased system model* or substantial* | issues such as system model* ambiguity, errors in noise* | The integration of the Global Navigation

关键词： Integrated navigation | Extended Kalman filter | Interactive multiple model (IMM)

6. A Novel Visual Inertial Odometry Based on Interactive Multiple Model and Multistate Constrained Kalman Filter NSTL国家科技图书文献中心

Wei Sun | Yadan Li ... - 《IEEE Transactions on Instrumentation and Measurement》 - 2024,73 - 5000110.1～5000110.10 - 共10页

摘要： (VIO). A novel VIO based on interactive multiple | model (IMM) and multistate constrained Kalman filter | environments due to the fixed system model* and variable* | (MSCKF) is proposed. First, the trifocal tensor model | measurement model* of the system, and the corresponding*

关键词： Integrated navigation | interactive multiple model (IMM) | multistate constrained Kalman filter (MSCKF) | trifocal tensor geometry | visual inertial odometry (VIO) | Visualization | Tensors | Odometry | Kalman filters | Gyroscopes...

7. Lateral Maneuver Discrimination for Hypersonic Glide Vehicles: A Hybrid Approach Combining Model-Driven and Data-Driven Methods NSTL国家科技图书文献中心

Hong Xu | Yajian Liu ... - 《IEEE sensors journal》 - 2024,24(7) - 11425～11437 - 共13页

摘要：. Specifically, we use an interactive multiple model (IMM | combines model-driven and data-driven methods to enhance | approach initially uses a model-driven state estimator to | ) algorithm with varying process noise variances as a model | (MaRV) model. In addition, we introduce a long short

关键词： Data-driven method | hypersonic glide vehicles (HGVs) | interactive multiple model (IMM) | long short-time memory (LSTM) | maneuver discrimination | time series | Trajectory | Aerodynamics | Predictive models | Mathematical models...

8. An Improved Algorithm Based on Adaptive IMMUKF Application in Underwater Three-Dimensional Dynamic Target Tracking NSTL国家科技图书文献中心

Xiaochao Zhang | Wei Gao ... - 《2024 6th International Conference on Electronics and Communication,Network and Computer Technology》 - International Conference on Electronics and Communication,Network and Computer Technology - 2024, - 39～45 - 共7页

摘要： matrix of the Interactive Multiple Model (IMM | multiple models online. The effectiveness of the | algorithm in model* switching speed and target state* | In response to the problem of reduced tracking | accuracy caused by the fixed Markov state transition

关键词： Adaptation models | Solid modeling | Target tracking | Accuracy | Heuristic algorithms | Switches | Predictive models | Prediction algorithms | Angular velocity | Vehicle dynamics

9. Interactive Multiple Model-Based High-Resolution Tracking in Polar Form for Millimeter-Wave Radars NSTL国家科技图书文献中心

Anagha K. Kowshik | Deepan Vetrivel ... - 《2024 International Conference on Communications: NCC 2024, Chennai, India, 28 February - 2 March 2024》 - National Conference on Communications - 2024, - 1～6 - 共6页

摘要： multiple model (IMM) framework for high-resolution target | In this paper, we present an interactive | the Markovian state transition probabilities for IMM | . We derive state estimates using the IMM* and* | tracking in millimeter-wave radars, using polar

关键词： Target tracking | Monte Carlo methods | Radar measurements | Computational modeling | Predictive models | Millimeter wave radar | Radar tracking

10. Tracking Hypersonic Glide Vehicle Based on the MaRV Model with Multiple-model Approach NSTL国家科技图书文献中心

Liu Hao | Liang Yongqi - 《2024 43rd Chinese Control Conference,[v.1]》 - Chinese Control Conference - 2024, - 3446～3451 - 共6页

摘要： interactive multiple model (IMM) estimator is employed for | ) model* and multiple-model estimator have been widely* | used. However, a systematic approach for model* set* | model and its mode features. Secondly, the uniform | model set is proposed, which is designed from an

摘要： multiple model (IMM) algorithm. This way, not only the | a model-based algorithm for protection of the | difficulty in the use of conventional model-based | this paper, multiple* linear models are employed to* | linear models based on the concept of interactive

关键词： Protection | Circuit faults | Voltage measurement | Power transformers | Current measurement | Current transformers | Substations | Mathematical models | Computational modeling | Transformer cores

摘要： filter (AUKF) and interactive multiple model (IMM | environment-based AUKFs are integrated into the IMM | The positioning technology based on ultra | -wideband ranging has been widely applied in the field of | indoor positioning due to its excellent localization

关键词： indoor positioning | NLOS | mixed indoor environments | inaccurate process noise | AUKF

摘要： multiple model (IMM) method is adopted to calculate the | accurate priori prediction results, the interactive | This article proposes a finite-time | distributed state estimation (DSE) algorithm for discrete | -time stochastic nonlinear systems with heterogeneous

关键词： Sensors | Sensor systems | Nonlinear systems | Accuracy | Sensor fusion | Prediction algorithms | Distributed algorithms | Mathematical models | Intelligent sensors | Azimuth

摘要： Multiple Model Adaptive Robust Kalman Filter (IMMARKF | robustness of CEEKF using the interacting multiple model | This paper proposes an effective Interactive | (IMM) principle to adapt reasonably to changing | ) without time delay to handle situations where both

关键词： Kalman filter | Robust filter | Adaptive filter | Centered error entropy | Interacting multiple model

摘要： interactive multiple model-based adaptive robust enhanced | Kalman filter (IMM-AREKF) algorithm. The algorithm is | observations due to a biased system model* or substantial* | issues such as system model* ambiguity, errors in noise* | The integration of the Global Navigation

关键词： Integrated navigation | Extended Kalman filter | Interactive multiple model (IMM)

摘要： (VIO). A novel VIO based on interactive multiple | model (IMM) and multistate constrained Kalman filter | environments due to the fixed system model* and variable* | (MSCKF) is proposed. First, the trifocal tensor model | measurement model* of the system, and the corresponding*

关键词： Integrated navigation | interactive multiple model (IMM) | multistate constrained Kalman filter (MSCKF) | trifocal tensor geometry | visual inertial odometry (VIO) | Visualization | Tensors | Odometry | Kalman filters | Gyroscopes...

关键词： Data-driven method | hypersonic glide vehicles (HGVs) | interactive multiple model (IMM) | long short-time memory (LSTM) | maneuver discrimination | time series | Trajectory | Aerodynamics | Predictive models | Mathematical models...

摘要： matrix of the Interactive Multiple Model (IMM | multiple models online. The effectiveness of the | algorithm in model* switching speed and target state* | In response to the problem of reduced tracking | accuracy caused by the fixed Markov state transition

关键词： Adaptation models | Solid modeling | Target tracking | Accuracy | Heuristic algorithms | Switches | Predictive models | Prediction algorithms | Angular velocity | Vehicle dynamics

摘要： multiple model (IMM) framework for high-resolution target | In this paper, we present an interactive | the Markovian state transition probabilities for IMM | . We derive state estimates using the IMM* and* | tracking in millimeter-wave radars, using polar

关键词： Target tracking | Monte Carlo methods | Radar measurements | Computational modeling | Predictive models | Millimeter wave radar | Radar tracking

摘要： interactive multiple model (IMM) estimator is employed for | ) model* and multiple-model estimator have been widely* | used. However, a systematic approach for model* set* | model and its mode features. Secondly, the uniform | model set is proposed, which is designed from an

关键词： Space vehicles | Analytical models | Monte Carlo methods | Target tracking | Systematics | Simulation | Measurement uncertainty

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： multiple model (IMM) algorithm. This way, not only the | a model-based algorithm for protection of the | difficulty in the use of conventional model-based | this paper, multiple linear models are employed to | linear models based on the concept of interactive

关键词： Protection | Circuit faults | Voltage measurement | Power transformers | Current measurement | Current transformers | Substations | Mathematical models | Computational modeling | Transformer cores

摘要： filter (AUKF) and interactive multiple model (IMM | environment-based AUKFs are integrated into the IMM | The positioning technology based on ultra | -wideband ranging has been widely applied in the field of | indoor positioning due to its excellent localization

关键词： indoor positioning | NLOS | mixed indoor environments | inaccurate process noise | AUKF

摘要： multiple model (IMM) method is adopted to calculate the | accurate priori prediction results, the interactive | This article proposes a finite-time | distributed state estimation (DSE) algorithm for discrete | -time stochastic nonlinear systems with heterogeneous

关键词： Sensors | Sensor systems | Nonlinear systems | Accuracy | Sensor fusion | Prediction algorithms | Distributed algorithms | Mathematical models | Intelligent sensors | Azimuth

摘要： Multiple Model Adaptive Robust Kalman Filter (IMMARKF | robustness of CEEKF using the interacting multiple model | This paper proposes an effective Interactive | (IMM) principle to adapt reasonably to changing | ) without time delay to handle situations where both

关键词： Kalman filter | Robust filter | Adaptive filter | Centered error entropy | Interacting multiple model

摘要： interactive multiple model-based adaptive robust enhanced | Kalman filter (IMM-AREKF) algorithm. The algorithm is | observations due to a biased system model or substantial | issues such as system model ambiguity, errors in noise | The integration of the Global Navigation

关键词： Integrated navigation | Extended Kalman filter | Interactive multiple model (IMM)

摘要： (VIO). A novel VIO based on interactive multiple | model (IMM) and multistate constrained Kalman filter | environments due to the fixed system model and variable | (MSCKF) is proposed. First, the trifocal tensor model | measurement model of the system, and the corresponding

关键词： Integrated navigation | interactive multiple model (IMM) | multistate constrained Kalman filter (MSCKF) | trifocal tensor geometry | visual inertial odometry (VIO) | Visualization | Tensors | Odometry | Kalman filters | Gyroscopes...

关键词： Data-driven method | hypersonic glide vehicles (HGVs) | interactive multiple model (IMM) | long short-time memory (LSTM) | maneuver discrimination | time series | Trajectory | Aerodynamics | Predictive models | Mathematical models...

摘要： matrix of the Interactive Multiple Model (IMM | multiple models online. The effectiveness of the | algorithm in model switching speed and target state | In response to the problem of reduced tracking | accuracy caused by the fixed Markov state transition

关键词： Adaptation models | Solid modeling | Target tracking | Accuracy | Heuristic algorithms | Switches | Predictive models | Prediction algorithms | Angular velocity | Vehicle dynamics

摘要： multiple model (IMM) framework for high-resolution target | In this paper, we present an interactive | the Markovian state transition probabilities for IMM | . We derive state estimates using the IMM and | tracking in millimeter-wave radars, using polar

关键词： Target tracking | Monte Carlo methods | Radar measurements | Computational modeling | Predictive models | Millimeter wave radar | Radar tracking

摘要： interactive multiple model (IMM) estimator is employed for | ) model and multiple-model estimator have been widely | used. However, a systematic approach for model set | model and its mode features. Secondly, the uniform | model set is proposed, which is designed from an

关键词： Space vehicles | Analytical models | Monte Carlo methods | Target tracking | Systematics | Simulation | Measurement uncertainty

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： multiple model (IMM) algorithm. This way, not only the | a model-based algorithm for protection of the | difficulty in the use of conventional model-based | this paper, multiple* linear models are employed to* | linear models based on the concept of interactive

摘要： interactive multiple model-based adaptive robust enhanced | Kalman filter (IMM-AREKF) algorithm. The algorithm is | observations due to a biased system model* or substantial* | issues such as system model* ambiguity, errors in noise* | The integration of the Global Navigation

摘要： (VIO). A novel VIO based on interactive multiple | model (IMM) and multistate constrained Kalman filter | environments due to the fixed system model* and variable* | (MSCKF) is proposed. First, the trifocal tensor model | measurement model* of the system, and the corresponding*

摘要： matrix of the Interactive Multiple Model (IMM | multiple models online. The effectiveness of the | algorithm in model* switching speed and target state* | In response to the problem of reduced tracking | accuracy caused by the fixed Markov state transition

摘要： multiple model (IMM) framework for high-resolution target | In this paper, we present an interactive | the Markovian state transition probabilities for IMM | . We derive state estimates using the IMM* and* | tracking in millimeter-wave radars, using polar

摘要： interactive multiple model (IMM) estimator is employed for | ) model* and multiple-model estimator have been widely* | used. However, a systematic approach for model* set* | model and its mode features. Secondly, the uniform | model set is proposed, which is designed from an