All Stories

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