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Koopman-Theoretic Modeling of Quasiperiodically Driven Systems: Example of Signalized Traffic Corridor
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Spectral Theory of Dynamical Systems
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A hybrid short-term traffic flow forecasting model based on time series multifractal characteristics
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Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series
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Traffic-flow dynamics: A search for chaos
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Koopman spectra in reproducing kernel Hilbert spaces
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Multifractal Fourier detrended cross-correlation analysis of traffic signals
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The retrieval of intra-day trend and its influence on traffic prediction
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A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model
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Estimate the limit of predictability in short-term traffic forecasting: An entropy-based approach
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Comparison of parametric and nonparametric models for traffic flow forecasting
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Regularity of invariant graphs for forced systems
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Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition
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A compositional framework for Markov processes
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Quantitative quasiperiodicity
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Super convergence of ergodic averages for quasiperiodic orbits
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Multiscale multifractal analysis of traffic signals to uncover richer structures
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Study of dynamics in post-transient flows using Koopman mode decomposition
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Koopman Operator Applications in Signalized Traffic Systems
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Reservoir Computing Universality With Stochastic Inputs
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Cooperative Traffic Control With Green Wave Coordination for Multiple Intersections Based on the Internet of Vehicles
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Unifying Analytical Methods With Numerical Methods for Traffic System Modeling and Control
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Robust Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Unknown Dynamics and State Constraints
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Urban Traffic Flows and Fourier Transforms
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Time-Scale Separation from Diffusion-Mapped Delay Coordinates
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Kernel Mean Embedding of Distributions: A Review and Beyond
inferredcites →https://doi.org/10.23919/acc.2019.8815339openalex-snapshot
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
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Grey Coupled Prediction Model for Traffic Flow with Panel Data Characteristics
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Solving the Babylonian problem of quasiperiodic rotation rates
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Conditional expectation using compactification operators
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Mitigating traffic oscillations in mixed traffic flow with scalable deep Koopman predictive control
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Reduced-order Koopman modeling and predictive control of nonlinear processes
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Smooth Koopman eigenfunctions
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Lie group valued Koopman eigenfunctions
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Recursive Forward-Backward EDMD: Guaranteed Algebraic Search for Koopman Invariant Subspaces
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Self-Similar Characteristics in Queue Length Dynamics: Insights from Adaptive Signalized Corridor
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An Extreme Value Theory Approach for Understanding Queue Length Dynamics in Adaptive Corridors
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