Practical grey-box process identification. Theory and applications
From MaRDI portal
Publication:2500519
zbMath1122.93059MaRDI QIDQ2500519
Publication date: 17 August 2006
Published in: Advances in Industrial Control (Search for Journal in Brave)
Control/observation systems involving computers (process control, etc.) (93C83) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02)
Related Items
Locally parameter identifiable systems are generic, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, A novel gray forecasting model based on the box plot for small manufacturing data sets, System identification of nonlinear state-space models, Grey sets and greyness, Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements, Bi-objective mean–variance method based on Chebyshev inequality bounds for multi-objective stochastic problems, Estimation of feedwater heater parameters based on a grey-box approach, A new paradigm for parameter estimation in system modeling, An intuitionistic fuzzy stochastic decision-making method based on case-based reasoning and prospect theory, The grey linear programming approach and its application to multi-objective multi-stage solid transportation problem, Direct continuous-time approaches to system identification. Overview and benefits for practical applications, Time series interval forecast using GM(1,1) and NGBM(1,1) models, A grey-based fitting coefficient to build a hybrid forecasting model for small data sets, Nonlinear gray-box identification using local models applied to industrial robots, On novel grey forecasting model based on non-homogeneous index sequence, An extended grey forecasting model for omnidirectional forecasting considering data gap difference, Generalized GM (1,1) model and its application in forecasting of fuel production, Unnamed Item, On the convergence of sigmoidal fuzzy grey cognitive maps, A Comparison of Discretization Methods for Parameter Estimation of Nonlinear Mechanical Systems Using Extended Kalman Filter: Symplectic versus Classical Approaches, Uncertainty analysis of large structures using universal grey number theory, A new GM\((1,1)\) model based on cubic monotonicity-preserving interpolation spline, Stochastic grey-box modeling of queueing systems: fitting birth-and-death processes to data, Weakened fractional-order accumulation operator for ill-conditioned discrete grey system models
Uses Software
