Results 21 to 30 of about 124,023 (246)
Complexity, 2017 This paper considers the identification problem of multi-input-output-error autoregressive systems. A hierarchical gradient based iterative (H-GI) algorithm and a hierarchical least squares based iterative (H-LSI) algorithm are presented by using the ...
Jiling Ding
doaj +1 more source
Journal of Applied Mathematics, 2014 The identification of a class of linear-in-parameters multiple-input single-output systems is considered. By using the iterative search, a least-squares based iterative algorithm and a gradient based iterative algorithm are proposed.
Cheng Wang, Tao Tang, Dewang Chen
doaj +1 more source
Iterative learning control of high-acceleration positioning table via sensitivity identification
Advances in Mechanical Engineering, 2016 Through the convergence analysis of the iterative learning control, it can be seen that the inverted model of the sensitivity can be used as the update law of iterative learning controller. However, due to the little knowledge in modeling uncertainty and
Jing Cui, Zhongyi Chu, Difan Wang
doaj +1 more source
IEEE Access, 2018 This paper focuses on the parameter estimation of a class of bilinear systems, for which the input-output representation is derived by eliminating the state variables in the systems.
Meihang Li, Ximei Liu
doaj +1 more source
Development of Aerodynamic and Propulsion Models Using the Iterative Equation Error Method
Aerospace, 2023 For developing high-fidelity flight simulations, an accurate and complete representation of the aerodynamic characteristics of the aircraft is necessary.
Murat Millidere +3 more
doaj +1 more source
Complexity, 2018 This paper investigates the identification problem for a class of input nonlinear systems whose disturbance is in the form of the moving average model.
Cheng Wang, Kaicheng Li, Shuai Su
doaj +1 more source
Iterative-Based Impact Force Identification on a Bridge Concrete Deck
Sensors, 2023 Steel-reinforced concrete decks are prominently utilized in various civil structures such as bridges and railways, where they are susceptible to unforeseen impact forces during their operational lifespan.
Maria Rashidi +4 more
doaj +1 more source
Gradient-Based Iterative Parameter Estimation Algorithms for Dynamical Systems from Observation Data
Mathematics, 2019 It is well-known that mathematical models are the basis for system analysis and controller design. This paper considers the parameter identification problems of stochastic systems by the controlled autoregressive model.
Feng Ding +3 more
doaj +1 more source
Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems
Journal of Applied Mathematics, 2013 This paper focuses on the identification problem of Wiener nonlinear systems. The application of the key-term separation principle provides a simplified form of the estimated parameter model.
Lincheng Zhou, Xiangli Li, Feng Pan
doaj +1 more source
Bayesian model calibration and damage detection for a digital twin of a bridge demonstrator
Engineering Reports, 2023 Using digital twins for decision making is a very promising concept which combines simulation models with corresponding experimental sensor data in order to support maintenance decisions or to investigate the reliability.
Thomas Titscher +5 more
doaj +1 more source