All Stories

  1. The reliability of recurrence network analysis is influenced by the observability properties of the recorded time series
  2. Piecewise affine identification of a hydraulic pumping system using evolutionary computation
  3. Particle filtering of dynamical networks: Highlighting observability issues
  4. Structural, dynamical and symbolic observability: From dynamical systems to networks
  5. Learning robot reaching motions by demonstration using nonlinear autoregressive models
  6. Recurrence plots for the assessment of patient-ventilator interactions quality during invasive mechanical ventilation
  7. Reducing vaccination level to eradicate a disease by means of a mixed control with isolation
  8. Control and observability aspects of phase synchronization
  9. Observability and synchronization of neuron models
  10. Development of soft sensors for permanent downhole Gauges in deepwater oil wells
  11. Joint maximum a posteriori state path and parameter estimation in stochastic differential equations
  12. Shooting Methods for Parameter Estimation of Output Error Models * *This work has been supported by the Brazilian agencies CAPES, CNPq and FAPEMIG.
  13. Which System Variables Carry Robust Early Signs of Upcoming Phase Transition? An Ecological Example
  14. Enhancing multivariate singular spectrum analysis for phase synchronization: The role of observability
  15. Sufficient conditions for rate-independent hysteresis in autoregressive identified models
  16. Matrix formulation and singular-value decomposition algorithm for structured varimax rotation in multivariate singular spectrum analysis
  17. A hybrid algorithm for Caputo fractional differential equations
  18. Controllability and synchronizability: Are they related?
  19. Equivalence of non-linear model structures based on Pareto uncertainty
  20. Downhole Pressure Estimation Using Committee Machines and Neural Networks
  21. Selecting Transients Automatically for the Identification of Models for an Oil Well
  22. The historical development of texts for teaching classical control of linear systems
  23. Impact of the recorded variable on recurrence quantification analysis of flows
  24. Maximum a posteriori state path estimation: Discretization limits and their interpretation
  25. Identification of smooth nonlinear dynamical systems with non-smooth steady-state features
  26. Data-driven soft sensor of downhole pressure for a gas-lift oil well
  27. Dynamical analysis of fractional-order Rössler and modified Lorenz systems
  28. Automatic sleep staging from ventilator signals in non-invasive ventilation
  29. Leakage Estimation Using Kalman Filtering in Noninvasive Mechanical Ventilation
  30. What can be learned from a chaotic cancer model?
  31. Individuality of breathing patterns in patients under noninvasive mechanical ventilation evidenced by chaotic global models
  32. Nonstationarity signatures in the dynamics of global nonlinear models
  33. Joint Maximum a Posteriori Smoother for State and Parameter Estimation in Nonlinear Dynamical Systems*
  34. UKF-Based Data-Driven Soft Sensing: A Case Study of a Gas-Lifted Oil Well*
  35. Imposing a Hopf bifurcation on a model estimated from noisy data from the delayed logistic equation
  36. Required criteria for recognizing new types of chaos: Application to the “cord” attractor
  37. Use of self-consistency in the structure selection of NARX polynomial models
  38. Investigating observability properties from data in nonlinear dynamics
  39. Global models for patient–ventilator interactions in noninvasive ventilation with asynchronies
  40. Black and Gray-Box Identification of a Hydraulic Pumping System
  41. Flight path reconstruction – A comparison of nonlinear Kalman filter and smoother algorithms
  42. Using uncertain prior knowledge to improve identified nonlinear dynamic models
  43. ANÁLISE PRELIMINAR DE UM NOVO ATRATOR
  44. Prediction and simulation errors in parameter estimation for nonlinear systems
  45. Interplay between synchronization, observability, and dynamics
  46. The use of coevolution and the artificial immune system for ensemble learning
  47. On unscented Kalman filtering with state interval constraints
  48. Symbolic observability coefficients for univariate and multivariate analysis
  49. Frequently asked questions about global modeling
  50. State estimation for linear and non-linear equality-constrained systems
  51. Failure in distinguishing colored noise from chaos using the “noise titration” technique
  52. Modeling Nonlinear Dynamics and Chaos: A Review
  53. UPS Parallel Balanced Operation Without Explicit Estimation of Reactive Power—A Simpler Scheme
  54. Gain-Constrained Kalman Filtering for Linear and Nonlinear Systems
  55. The use of synthetic input sequences in time series modeling
  56. Data assimilation for magnetohydrodynamics with a zero-divergence constraint on the magnetic field
  57. Testing for intracycle determinism in pseudoperiodic time series
  58. Unscented filtering for equality-constrained nonlinear systems
  59. Forecasting the Time Series of Sunspot Numbers
  60. Observability of nonlinear dynamics: Normalized results and a time-series approach
  61. Dynamical prediction and pattern mapping in short-term load forecasting
  62. Evolving an Ensemble of Neural Networks Using Artificial Immune Systems
  63. Unscented filtering for interval-constrained nonlinear systems
  64. Building dynamical models from data and prior knowledge: The case of the first period-doubling bifurcation
  65. Steady-state performance constraints for dynamical models based on RBF networks
  66. Multiobjective parameter estimation for non-linear systems: affine information and least-squares formulation
  67. Insights into the algebraic structure of Lorenz-like systems using feedback circuit analysis and piecewise affine models
  68. Multi-objective parameter estimation via minimal correlation criterion
  69. Global models from the Canadian lynx cycles as a direct evidence for chaos in real ecosystems
  70. State estimation for equality-constrained linear systems
  71. Evaluation of dynamical models: Dissipative synchronization and other techniques
  72. How the choice of the observable may influence the analysis of nonlinear dynamical systems
  73. Data-based dynamical modeling of externally observed actuators-only robots
  74. Evidence for low dimensional chaos in sunspot cycles
  75. Piecewise affine models of chaotic attractors: The Rössler and Lorenz systems
  76. CHAOTIFICATION OF DISCRETE SYSTEMS BASED ON MODELS IDENTIFIED FROM DATA
  77. Particle Swarm Optimization (PSO) Fuzzy Systems and NARMAX Approaches Trade-Off Applied to Thermal-Vacuum Chamber Identification
  78. Graphical interpretation of observability in terms of feedback circuits
  79. Using data-driven discrete-time models and the unscented Kalman filter to estimate unobserved variables of nonlinear systems
  80. PCCHUA — A LABORATORY SETUP FOR REAL-TIME CONTROL AND SYNCHRONIZATION OF CHAOTIC OSCILLATIONS
  81. On the interpretation and practice of dynamical differences between Hammerstein and Wiener models
  82. Observability of multivariate differential embeddings
  83. Relation between observability and differential embeddings for nonlinear dynamics
  84. Direct Injection Diesel Engine Cylinder Pressure Modelling via NARMA Identification Technique
  85. Transmitting information by controlling nonlinear oscillators
  86. Difference equations versus differential equations, a possible equivalence for the Rössler system?
  87. Multiobjective nonlinear system identification: a case study with thyristor controlled series capacitor (TCSC)
  88. Scalar modeling and analysis of a 3D biochemical reaction model
  89. Stability analysis of sleep apnea time series using identified models: a case study
  90. Imposing steady-state performance on identified nonlinear polynomial models by means of constrained parameter estimation
  91. Constraining the topology of neural networks to ensure dynamics with symmetry properties
  92. NONLINEAR IDENTIFICATION USING PRIOR KNOWLEDGE OF FIXED POINTS: A MULTIOBJECTIVE APPROACH
  93. Analogy between a 10D model for nonlinear wave–wave interaction in a plasma and the 3D Lorenz dynamics
  94. Does preprocessing change nonlinear measures of heart rate variability?
  95. Investigating nonlinear dynamics from time series: The influence of symmetries and the choice of observables
  96. Using steady-state prior knowledge to constrain parameter estimates in nonlinear system identification
  97. Nonlinearities in NARX polynomial models: representation and estimation
  98. Should all the species of a food chain be counted to investigate the global dynamics?
  99. INDUCED ONE-PARAMETER BIFURCATIONS IN IDENTIFIED NONLINEAR DYNAMICAL MODELS
  100. Structure-selection techniques applied to continuous-time nonlinear models
  101. Use of a priori information in the identification of global nonlinear models-a case study using a buck converter
  102. Investigation of determinism in heart rate variability
  103. MODELING CHAOTIC DYNAMICS WITH DISCRETE NONLINEAR RATIONAL MODELS
  104. CONTROL OF NONLINEAR DYNAMICS: WHERE DO MODELS FIT IN?
  105. Time series analysis of monthly beef cattle prices with nonlinear autoregressive models
  106. Inductorless Chua's circuit
  107. Nonlinear multivariable modeling and analysis of sleep apnea time series
  108. Extended chaos control method applied to Chua circuit
  109. Higher-Order Spectra of Nonlinear Polynomial Models for Chua's Circuit
  110. An Algorithm for Estimating Fixed Points of Dynamical Systems from Time Series
  111. On the non-equivalence of observables in phase-space reconstructions from recorded time series
  112. Cluster analysis of NARMAX models for signal-dependent systems
  113. A modified observer scheme for fault detection and isolation applied to a poorly observed process with integration
  114. Algorithm for Approximate Model Matching for Loops With Non-Negligible Feedback Dynamics
  115. Nonlinear Identification and Cluster Analysis of Chaotic Attractors from a Real Implementation of Chua's Circuit
  116. On the structure of nonlinear polynomial models: higher order correlation functions, spectra, and term clusters
  117. Fixed Point Stability Analysis of Chua's Circuit: A Case Study with a Real Circuit
  118. Recovering map static nonlinearities from chaotic data using dynamical models
  119. GLOBAL NONLINEAR POLYNOMIAL MODELS: STRUCTURE, TERM CLUSTERS AND FIXED POINTS
  120. Smoothing data with local instabilities for the identification of chaotic systems
  121. EFFECTS OF THE SAMPLING TIME ON THE DYNAMICS AND IDENTIFICATION OF NONLINEAR MODELS
  122. Matrix formulae for open and closed-loop approximate model matching in frequency domain
  123. Algorithm for extended least-squares model reduction
  124. Improved structure selection for nonlinear models based on term clustering
  125. A nonlinear correlation function for selecting the delay time in dynamical reconstructions
  126. Identification of models for chaotic systems from noisy data: implications for performance and nonlinear filtering
  127. Closed-loop suppression of chaos in nonlinear driven oscillators
  128. RETRIEVING DYNAMICAL INVARIANTS FROM CHAOTIC DATA USING NARMAX MODELS
  129. The least-squares Padé method for model simplification of multivariable systems
  130. Controllability and observability of linear systems: some noninvariant aspects
  131. Dynamical effects of overparametrization in nonlinear models
  132. Partial least-squares Padé reduction with exact retention of poles and zeros
  133. SOME REMARKS ON STRUCTURE SELECTION FOR NONLINEAR MODELS
  134. DISCRETE RECONSTRUCTION OF STRANGE ATTRACTORS OF CHUA’S CIRCUIT
  135. Model reduction via least-squares Padé simplification of squared-magnitude functions
  136. Model reference control of regular and chaotic dynamics in the Duffing-Ueda oscillator
  137. Term clustering and the order selection of linear continuous systems
  138. Computer-aided analysis and design of control systems using model approximation techniques
  139. VALIDATING IDENTIFIED NONLINEAR MODELS WITH CHAOTIC DYNAMICS
  140. Designing controllers by means of model reduction techniques
  141. PID tuning based on model matching
  142. The least squares Padé method for model reduction
  143. Erratum: Open-loop model matching in frequency domain
  144. Open-loop model matching in frequency domain
  145. Comment: Simplification of system model in time domain using continued fraction expansion in third Cauer form
  146. New algorithm for closed-loop model matching
  147. Data based dynamical modeling of vision observed small robots