All Stories

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