ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone +3 more
wiley +1 more source
A mathematical approach to Chikungunya transmission dynamics incorporating media awareness and optimal control. [PDF]
Karthik A, Ghosh M.
europepmc +1 more source
Vertical Vibration Reduction of Maglev Vehicles Using Nonlinear Model Predictive Control
ABSTRACT This work presents a novel nonlinear model predictive control (NMPC) strategy for high‐speed Maglev vehicles that explicitly incorporates mechanical suspension dynamics into the control model. Unlike conventional approaches, which often neglect the interaction between levitation magnet and car body motion, the proposed method enables ...
Mario Hermle +2 more
wiley +1 more source
Solving the where problem and quantifying geometric variation in neuroanatomy using generative diffeomorphic mapping. [PDF]
Tward DJ +9 more
europepmc +1 more source
Fractal–fractional model for analysis of tuberculosis infection using Ethiopia incidence data
Abstract In this study, a fractional‐order SEIuITR $SE{I}_{u}ITR$ model was proposed to examine the transmission of tuberculosis (TB) in the community. The proposed model was rigorously examined for well‐posedness. The basic reproduction number was also derived, and the disease‐free equilibrium was obtained.
Kumama Regassa Cheneke +2 more
wiley +1 more source
Geometry-preserving vector field reconstruction of high-dimensional cell-state dynamics using ddHodge. [PDF]
Maehara K, Ohkawa Y.
europepmc +1 more source
Model‐Agnostic Influential Outlier Metric
ABSTRACT The influential outlier metric (IOM) provides model‐agnostic influential outlier detection. We define influence of an observation using a combination of SHapley Additive exPlanation (SHAP) values and the residual. Both are transformed using normalizing flows, changing their respective measures to Gaussian distributions.
Colin C. Jones, David A. Campbell
wiley +1 more source
Hybrid Neuro-Symbolic State-Space Modeling for Industrial Robot Calibration via Adaptive Wavelet Networks and PSO. [PDF]
Mao H, Lai Z, Li Z.
europepmc +1 more source
ABSTRACT A possibly time‐dependent transition intensity matrix or generator (Q(t))$$ \left(Q(t)\right) $$ characterizes the law of a Markov jump process (MP). For a time‐homogeneous MP, the transition probability matrix (TPM) can be expressed as a matrix exponential of Q$$ Q $$.
Dario Gasbarra +2 more
wiley +1 more source
A Reactive Synchronized Motion Controller for Dual-Arm Cooperation with Closed-Chain Constraints. [PDF]
Ju F, Wang Z, Ge M, Jin H, Zhao J.
europepmc +1 more source

