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Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond
Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …
devoted to time series state space models for a large variety of dynamic estimation …
Performance evaluation metrics and approaches for target tracking: A survey
Performance evaluation (PE) plays a key role in the design and validation of any target-
tracking algorithms. In fact, it is often closely related to the definition and derivation of the …
tracking algorithms. In fact, it is often closely related to the definition and derivation of the …
Outlier-resistant filtering with dead-zone-like censoring under try-once-discard protocol
In this paper, a novel outlier-resistant filtering problem is concerned for a class of networked
systems with dead-zone-like censoring under the weighted try-once-discard protocol …
systems with dead-zone-like censoring under the weighted try-once-discard protocol …
Variance-constrained filtering fusion for nonlinear cyber-physical systems with the denial-of-service attacks and stochastic communication protocol
In this paper, a new filtering fusion problem is studied for nonlinear cyber-physical systems
under error-variance constraints and denial-of-service attacks. To prevent data collision and …
under error-variance constraints and denial-of-service attacks. To prevent data collision and …
Modeling and state estimation of linear destination-constrained dynamic systems
Goal-guided behavior and destination-directed motion appear in a wide range of human
activities and physical processes. Taking advantage of such predictive information can …
activities and physical processes. Taking advantage of such predictive information can …
Constrained dynamic systems: Generalized modeling and state estimation
Due to physical laws or mathematical properties the states of some dynamic systems satisfy
certain constraints, and taking advantage of such constraints generally will produce more …
certain constraints, and taking advantage of such constraints generally will produce more …
Route-based dynamics modeling and tracking with application to air traffic surveillance
In transportation networks, the majority of moving vehicles are route-based or trajectory-
scheduled. Taking advantage of such predictive information generally produces more …
scheduled. Taking advantage of such predictive information generally produces more …
Modeling and State Estimation of Destination-Constrained Dynamic Systems. Part II: Uncertain Arrival Time
Numerous human activities and object motions are intrinsically motivated by a goal or
guided towards a destination. Exploring and exploiting such valuable intent information is …
guided towards a destination. Exploring and exploiting such valuable intent information is …
Stability analysis of constrained distributed nonlinear and linear kalman filters for dynamical systems with state constraints
X Lyu, P Duan, Z Duan, Z Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article investigates the distributed nonlinear and linear Kalman filters for dynamical
systems with state equality constraints via a sensor network, where each sensor estimates …
systems with state equality constraints via a sensor network, where each sensor estimates …
Switched Kalman filter‐interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking
A manoeuvring target tracking algorithm based on the autoregressive (AR) model is
proposed. First, the AR model is incorporated into the Kalman filter (KF) for target tracking …
proposed. First, the AR model is incorporated into the Kalman filter (KF) for target tracking …