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
Smoothing for continuous dynamical state space models with sampled system coefficients based on sparse kernel learning
Sign Up to like & getrecommendations! Published in 2020 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-020-05698-0
Abstract: A new smoother for a continuous dynamical state space model with sampled system coefficients is proposed. This is completely different from conventional approaches, such as Rauch–Tung–Striebel smoother. In the proposed method, the state vector as… read more here.
Keywords: state; state space; dynamical state; system coefficients ... See more keywords
M-ideals and split faces of the quasi state space of a non-unital ordered Banach space
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DOI: 10.1007/s11117-018-0614-1
Abstract: We characterize M-ideals in order smooth $$\infty $$∞-normed spaces by extending the notion of split faces of the state space to those of the quasi-state space. We also characterize approximate order unit spaces as those… read more here.
Keywords: order; space; state space; order smooth ... See more keywords
Estimating the field capacity and permanent wilting point at the regional scale for the Hexi Corridor in China using a state-space modeling approach
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Soils and Sediments"
DOI: 10.1007/s11368-019-02314-6
Abstract: PurposeThe field capacity (FC) and permanent wilting point (PWP) are important soil hydraulic properties that determine the maximum available water for plants, and they are crucial parameters for biophysical models and irrigation management. However, previous… read more here.
Keywords: state; hexi corridor; state space; pwp ... See more keywords
Passive Discrete-Time Systems with a Pontryagin State Space
Sign Up to like & getrecommendations! Published in 2019 at "Complex Analysis and Operator Theory"
DOI: 10.1007/s11785-019-00930-1
Abstract: Passive discrete-time systems with Hilbert spaces as an incoming and outgoing space and a Pontryagin space as a state space are investigated. A geometric characterization when the index of the transfer function coincides with the… read more here.
Keywords: discrete time; state space; time systems; space ... See more keywords