... models. e-mail:  naveed.ishtiaq@iiu.edu.pk e-mail:  ehma458@gmail.com e-mail:  dedovicn@polj.uns.ac.rs e-mail:  Muhammad.asif@ciit-attock.edu.pk 02 10 2018 22 12 2019 23 01 2020 parameter estimation system identification adaptive algorithms momentum LMS...

... Nonlinear dynamical systems Parameter estimation System identification Stability of nonlinear systems Fractional calculus was discovered in the 17th century [ 1 ]. The concept of fractional calculus was established as a pure mathematics for about three centuries. Fractional-order (FO) nonlinear...

... received July 30, 2018; published online August 27, 2018. Assoc. Editor: Katrin Ellermann. 07 04 2018 30 07 2018 Chaotic dynamics Control Design optimization Parameter estimation System identification Stability of nonlinear systems Design sensitivity Nonlinear systems...

... on our test vehicle, a Toyota Rav4EV, using an integrated measurement system to collect data from multiple sensors. A matlab/simulink nonlinear least square parameter estimator with a trust-reflective algorithm was used to identify the vehicle parameters. The models have been validated against...

... characteristics that are critical to design applications and systems simulations. Dynamics MEMS Nano Experimental dynamics Parameter estimation System identification Impact Contact Friction modeling NEMS 12 06 2017 25 10 2017 Contributed by the Design Engineering Division...

...-based chaotic system to verify the proposed method. Chaotic dynamics Control Nonlinear dynamical systems Parameter estimation System identification Stability of nonlinear systems Chaos appears in many fields, such as physics, chemistry, medicine, computer science, and engineering [ 1...

... – 1944 . 10.1016/j.aml.2011.05.025 [13] Wang , L. , and Xu , Y. , 2011 , “ An Effective Hybrid Biogeography-Based Optimization Algorithm for Parameter Estimation of Chaotic Systems ,” Expert Syst. Appl. , 38 ( 12 ), pp. 15103 – 15109 . 10.1016/j.eswa.2011.05.011 [14] Cheng , C...

... is. In our paper, we take Lorenz system as an example to verify the effectiveness of the proposed synchronization scheme. Theoretical analysis and numerical simulations demonstrate the feasibility of this control method. Chaotic dynamics Parameter estimation System identification...

... Computational kinematics Flexible-cody dynamics Parameter estimation System identification Numerical Dynamics Integration methods In the analysis of the machine tool spindle units, it is important to consider all components of the machine (see Ref. [ 1 ] for an overview). When simulating...

... November 1, 2017. Assoc. Editor: Mohammad Younis. 27 02 2017 23 08 2017 Nonlinear dynamical systems Parameter estimation System identification With the development of the nonlinear vibration theory, in order to improve the precision and reliability of the structure...

... Nonlinear dynamical systems Robotics Parameter estimation System identification Mechanism systems Mechanism systems Minimal modeling seeks to identify the major dynamics of a system in a form that is easily understood, implemented, and identifiable. System identification using minimal...

... Chaotic dynamics Experimental dynamics Nonlinear oscillations Parameter estimation System identification Vibration The issue of analyzing the nonstationary time-series has long been concerned since the most real-world time-series have some degree of nonstationarity due to external...

... manuscript received October 24, 2016; published online December 5, 2016. Assoc. Editor: Paramsothy Jayakumar. 15 07 2016 24 10 2016 Algorithms Multibody system dynamics Design optimization Parameter estimation System identification Numerical Design sensitivity Nonlinear systems...

... received March 16, 2016; final manuscript received July 12, 2016; published online September 16, 2016. Assoc. Editor: Paramsothy Jayakumar. 16 03 2016 12 07 2016 Computational mechanics Nonlinear dynamical systems Nonlinear oscillations Parameter estimation System identification...

.... 03 03 2016 13 07 2016 Computational kinematics Multibody system dynamics Nonlinear dynamical systems Nonlinear oscillations Nonlinear phenomena Parameter estimation System identification Dynamics Vibration The acoustic filtering properties of linear systems...

...Pileun Kim; Jonathan Rogers; Jie Sun; Erik Bollt Parameter estimation is an important topic in the field of system identification. This paper explores the role of a new information theory measure of data dependency in parameter estimation problems. Causation entropy is a recently proposed...

.... 06 09 2015 24 07 2016 Aerospace applications Flexible-cody dynamics Parameter estimation Rigid-body dynamics System identification Flexible-body dynamics The space structure is widely used in the aerospace and civil engineering [ 1 , 2 ]. Unfortunately, its light...

... a credible model. An overparameterized model for calibration may results in parameter value estimates that do not survive a validation test. The parameterization is coupled to the test data and should be chosen so that the expected covariance matrix of the parameter estimates is made small. Accurate test...

... accuracy [ 9 – 11 ]. Therefore, the identification of clearance parameters and the experimental research based on the clearance nonlinearity are significantly essential for the accurate control of the clearance influence. Nonlinear dynamical systems Parameter estimation System identification...

.... The proposed approach is also compared with the linear regression method. 23 04 2011 12 08 2011 05 10 2011 05 10 2011 Newton method nonlinear differential equations nonlinear dynamical systems optimisation parameter estimation regression analysis deterministic...