Parameter learning for Wiener systems with time‐delay state‐space model
Sign Up to like & getrecommendations! Published in 2024 at "Asian Journal of Control"
DOI: 10.1002/asjc.3419
Abstract: This paper discusses a novel scheme for learning the Wiener output error nonlinear system with time‐delay state‐space model. In the Wiener system, the dynamic linear block is approximated by time‐delay state‐space model, and the static… read more here.
Keywords: state space; space model; model; time delay ... See more keywords
Longer time series with missing data improve parameter estimation in a state-space model in coral reef fish communities.
Sign Up to like & getrecommendations! Published in 2025 at "Ecology"
DOI: 10.1002/ecy.70270
Abstract: Analysis of time series data is fundamental in ecology for understanding community dynamics, and the mechanisms driving such dynamics. However, ecological time series commonly contain missing values, which can arise due to methodological changes in… read more here.
Keywords: state space; time series; time; missing data ... See more keywords
A new visual State Space Model for low-dose CT denoising.
Sign Up to like & getrecommendations! Published in 2024 at "Medical physics"
DOI: 10.1002/mp.17387
Abstract: BACKGROUND Low-dose computed tomography (LDCT) can mitigate potential health risks to the public. However, the severe noise and artifacts in LDCT images can impede subsequent clinical diagnosis and analysis. Convolutional neural networks (CNNs) and Transformers… read more here.
Keywords: vimednet; model; ldct denoising; state space ... See more keywords
Dynamic hierarchical state space forecasting
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10097
Abstract: In this paper, we aim to both borrow information from existing units and incorporate the target unit's history data in time series forecasting. We consider a situation when we have time series data from multiple… read more here.
Keywords: state space; unit; history; time ... See more keywords
q-State Space Least Mean Family of Algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0569-7
Abstract: It is generally known that model-based estimation algorithms (such as Kalman filter and its family) perform better than the non-model-based algorithms [such as least mean square (LMS), recursive least squares] due to extra information available… read more here.
Keywords: state; state space; algorithms; space least ... See more keywords
An approach based on knowledge exploration for state space management in checking reachability of complex software systems
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04334-3
Abstract: Model checking is one of the most efficient techniques in software system verification. However, state space explosion is a big challenge while using this technique to check different properties like safety ones. In this situation,… read more here.
Keywords: state; model; checking reachability; state space ... See more keywords
A State Space Boundary Element Method with Analytical Formulas for Nearly Singular Integrals
Sign Up to like & getrecommendations! Published in 2018 at "Acta Mechanica Solida Sinica"
DOI: 10.1007/s10338-018-0040-8
Abstract: A new method named the state space boundary element method (SSBEM) is established, in which the problem domain is divided into two parts. One is the boundary element domain which includes the interested inner point,… read more here.
Keywords: element; boundary element; method; state space ... See more keywords
Applicability of a Bayesian state-space model for evaluating the effects of localized culling on subsequent density changes: sika deer as a case study
Sign Up to like & getrecommendations! Published in 2017 at "European Journal of Wildlife Research"
DOI: 10.1007/s10344-017-1128-z
Abstract: At the landscape scale, localised culling is often conducted to achieve various deer management aims. However, few studies have assessed the effects of localised culling on deer population dynamics, owing to the spatially and temporally… read more here.
Keywords: deer; unit; state space; density ... See more keywords
Contractive Approximations in Risk-Sensitive Average Semi-Markov Decision Chains on a Finite State Space
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-021-01968-y
Abstract: This work concerns with semi-Markov decision chains evolving on a finite state space. The controller has a positive and constant risk sensitivity coefficient, and the performance of a control policy is measured by the risk-sensitive… read more here.
Keywords: markov decision; finite state; risk sensitive; semi markov ... See more keywords
State-space formulation of 2-D frequency transformation in Fornasini–Marchesini second model
Sign Up to like & getrecommendations! Published in 2018 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-016-0469-1
Abstract: This paper presents a state-space formulation for the two-dimensional (2-D) frequency transformation in the Fornasini–Marchesini second (FM II) model. Specifically, by introducing some new state vectors, an equivalent description of the FM II model will… read more here.
Keywords: state; state space; frequency transformation; formulation ... See more keywords
Recursive parameter identification of the dynamical models for bilinear state space systems
Sign Up to like & getrecommendations! Published in 2017 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-017-3594-y
Abstract: This paper investigates the recursive parameter and state estimation algorithms for a special class of nonlinear systems (i.e., bilinear state space systems). A state observer-based stochastic gradient (O-SG) algorithm is presented for the bilinear state… read more here.
Keywords: state; recursive parameter; state space; bilinear state ... See more keywords