Search · four archives
Search · four archives
17 papers · ranked by Valyu relevance
Jinhao Song, Jie Li, Xiaokai Wei, Chenjun Hu + 3 more
'Lening Zhao' 'Yubing Jiao'] The accurate noise parameter is essential for the Kalman filter to obtain optimal estimates. However, problems such as variations in the noise environment and measurement anomalies can cause degradation of estimation accuracy or even divergence. The adaptive Kalman filter can simultaneously…
Andrew Sanghyun Lee, Yuandi Wu, Stephen Andrew Gadsden, Mohammad AlShabi + 1 more
'Mohammad AlShabi' 'Andrea Cataldo'] This paper proposes a novel estimator for the purpose of fault detection and diagnosis. The interacting multiple model (IMM) strategy is effective for estimating the behaviour of systems with multiple operating modes. Each mode corresponds to a distinct mathematical model and is…
Ziran Ding, Yu Liu, Jun Liu, Kaimin Yu + 3 more
'Peiliang Jing' 'You He'] Networked multiple sensors are used to solve the problem of maneuvering target tracking. To avoid the linearization of nonlinear dynamic functions, and to obtain more accurate estimates for maneuvering targets, a novel adaptive information-weighted consensus filter for maneuvering target…
Chen Jiang, Shu-Bi Zhang, Qiu-Zhao Zhang
The Kalman filter is an optimal estimator with numerous applications in technology, especially in systems with Gaussian distributed noise. Moreover, the adaptive Kalman filtering algorithms, based on the Kalman filter, can control the influence of dynamic model errors. In contrast to the adaptive Kalman filtering…
Kai-Yu Hu, Jiaming Wang, Yuqing Cheng, Chunxia Yang
For maneuvering target tracking, a novel adaptive variable structure interactive multiple model filtering and smoothing (AVSIMMFS) algorithm is proposed in this paper. Firstly, an accurate model of the variable structure interactive multiple model algorithm is established. Secondly, by constructing a new model subset…
Guillaume Lambert, Bachir Hamrouche, Joseph de Vilmarest
This paper focuses on day-ahead electricity load forecasting for substations of the distribution network in France; therefore, the corresponding problem lies between the instability of a single consumption and the stability of a countrywide total demand. Moreover, this problem requires to forecast the loads of over one…
Jongsoo Baek, Hae-Jeong Park
The speed-accuracy tradeoff (SAT) often makes psychophysical data difficult to interpret. Accordingly, the SAT experimental procedure and model were proposed for an integrated account of the speed and accuracy of responses. However, the extensive data collection for a SAT experiment has blocked its popularity. For a…
Zong-xiang Liu, De-hui Wu, Wei-xin Xie, Liang-qun Li + 1 more
'Vittorio M. N. Passaro'] Tracking the target that maneuvers at a variable turn rate is a challenging problem. The traditional solution for this problem is the use of the switching multiple models technique, which includes several dynamic models with different turn rates for matching the motion mode of the target at…
Jiali Li, Shengjing Tang, Jie Guo, Gemine Vivone
Although there have been numerous studies on maneuvering target tracking, few studies have focused on the distinction between unknown maneuvers and inaccurate measurements, leading to low accuracy, poor robustness, or even divergence. To this end, a noise-adaption extended Kalman filter is proposed to track maneuvering…
Chen Jiang, Shu-Bi Zhang, Qiu-Zhao Zhang
The Kalman filter has been widely applied in the field of dynamic navigation and positioning. However, its performance will be degraded in the presence of significant model errors and uncertain interferences. In the literature, the fading filter was proposed to control the influences of the model errors, and the…
Maria Selezneva, Konstantin Neusypin, Anastasia Surkova
This study investigates the concept of the adaptability degree of state variables in mathematical models used in estimation algorithms. Two numerical criteria are proposed for calculating the adaptability degree of state variables in linear models. Qualitative characteristics of the adaptability of inertial navigation…
Yulin Guo, Paromita Nath, Sankaran Mahadevan, Paul Witherell
This paper investigates a novel approach to efficiently construct and improve surrogate models in problems with high-dimensional input and output. In this approach, the principal components and corresponding features of the high-dimensional output are first identified. For each feature, the active subspace technique is…
Benjamin M. Bolker, Brian Dennis, Mark L. Taper, Jose Miguel Ponciano
'Jose Miguel Ponciano'] Information-theoretic (IT) and multi-model averaging (MMA) statistical approaches are widely used but suboptimal tools for pursuing a multifactorial approach (also known as the method of multiple working hypotheses) in ecology. (1) Conceptually, IT encourages ecologists to perform tests on sets…
Eun-Young Mun, Yan Huo, Helene R. White, Sumihiro Suzuki + 1 more
'Jimmy de la Torre'] Many clinical and psychological constructs are conceptualized to have multivariate higher-order constructs that give rise to multidimensional lower-order traits. Although recent measurement models and computing algorithms can accommodate item response data with a higher-order structure, there are…
Qin Yu, Kichun Lee
A significant portion of theoretical and empirical studies in high-dimensional regression have primarily concentrated on clean datasets. However, in numerous practical scenarios, data are often corrupted by missing values and measurement errors, which cannot be ignored. Despite the substantial progress in…
Christian Geiser, Jacob Bishop, Ginger Lockhart, Saul Shiffman + 1 more
'Jerry L. Grenard'] Latent state-trait (LST) and latent growth curve (LGC) models are frequently used in the analysis of longitudinal data. Although it is well-known that standard single-indicator LGC models can be analyzed within either the structural equation modeling (SEM) or multilevel (ML; hierarchical linear…
Jiwei Zhang, Jing Lu, Feng Chen, Jian Tao
In many large-scale tests, it is very common that students are nested within classes or schools and that the test designers try to measure their multidimensional latent traits (e.g., logical reasoning ability and computational ability in the mathematics test). It is particularly important to explore the influences of…