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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: Advanced model-based control strategies, e.g., model predictive control, can offer superior control ofThe quality of the system model is critical to controller performance and should adequately describeThis work articulates an integrated system identification procedure for deriving black-box nonlinearcontinuous-time multiple-input multiple-output system models for nonlinear model predictive control.This demonstration of how such system models could be identified for nonlinear model predictive control

Keywords: nonlinear model predictive control     black-box modeling     continuous-time system identification     machine    

Identification of Time-delay Systems and Correction of NARMA Model

Wng Dongqing

Strategic Study of CAE 2006, Volume 8, Issue 2,   Pages 39-43

Abstract:

The paper introduces complemental explanation and analysis of existing time-delay identification schemeof nonlinear systems; meanwhile, points out the impropriety of NARMA model correction strategy for time-delaynetworks predictive control of time-delay system is taken as an example to present the correct NARMA model

Keywords: identification     NARMA model     neural network     predictive control    

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1685-1

Abstract:

● A hydrodynamic-Bayesian inference model was developed for water

Keywords: Identification of pollution sources     Water quality restoration     Bayesian inference     Hydrodynamic model    

Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 46-49 doi: 10.1007/s11465-007-0007-9

Abstract: A blind identification method was developed for the threshold auto-regressive (TAR) model.The method had good identification accuracy and rapid convergence, especially for higher order systemsThe proposed method was then combined with the hidden Markov model (HMM) to determine the auto-regressive

Keywords: speed-up     classifier     practical     extraction     experiment    

Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 965-980 doi: 10.1007/s11709-019-0530-x

Abstract: analysis in conjunction with bees optimization algorithm are utilized to update the finite element modelnatural frequencies of the solar power plant structure are estimated by multi-setup stochastic subspace identificationstructure located in Shahid Chamran university of Ahvaz, Iran, to update parameters of its finite element model

Keywords: operational modal analysis     solar power plant structure     multi-setup stochastic subspace     bees optimization algorithm     sensitivity analysis    

Kinematic Model Building and Servo Parameter Identification of 3-HSS Parallel Mechanism

YANG Zhi-yong, WU Jiang, HUANG Tian, NI Yan-bing

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 60-66 doi: 10.1007/s11465-005-0019-2

Abstract:

Aiming at a parallel mechanism with three degrees of freedom, a method for dynamic model buildingand the parameter identification of its servosystem is presented.position, velocity, and acceleration of parallelogram branch structure are deduced, and then, its dynamic modelBased on the above model, a method to identify the servo parameter of the parallel mechanism is put upvariable frequency is adopted to offset the disadvantages of pseudorandom number sequence in parameter identification

Keywords: building     acceleration     additive     workspace     optimum performance    

The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 233-237 doi: 10.1007/s11465-006-0003-5

Abstract: This paper presents the hybrid model identification for a class of nonlinear circuits and systems viaAfter discussing the method to establish the hybrid model and introducing the hybrid model identification, a set of relative formulas are derived for calculating the hybrid model and computing the VolterraAn example of identification simulation and fault diagnosis are given.

Keywords: block-pulse function     nonlinear     multiple     diagnosis     combination    

State identification of home appliance with transient features in residential buildings

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 130-143 doi: 10.1007/s11708-022-0822-z

Abstract: identified from aggregated power signals using the Kalman filtering method in the factorial hidden Markov model

Keywords: (NILM)     load disaggregation     online load disaggregation     Kalman filtering     factorial hidden Markov model    

Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1331-1348 doi: 10.1007/s11709-020-0686-4

Abstract: boundary coefficients and physical parameters of the Euler-Bernoulli beam as well as a highway bridge modelIt is expected that the proposed method will have practical applications in the identification and analysis

Keywords: structural model validation     eigenvalue problem     response surface     inverse problems    

Nonlinear restoring force identification based on measured time series

Xu Bin,He Jia

Strategic Study of CAE 2011, Volume 13, Issue 9,   Pages 76-82

Abstract:

In this study, a general nonlinear restoring force (NRF) identificationtechnique is employed to identify the parameters of an equivalent linear system of the nonlinear structure model

Keywords: nonlinear restoring force identification     MR damper     least-squares techniques     equivalent linear system     non-parametric model    

Multi-Objective Adaptive Optimization Model Predictive Control: Decreasing Carbon Emissions from a Zinc Article

Ke Wei, Keke Huang, Chunhua Yang, Weihua Gui

Engineering 2023, Volume 27, Issue 8,   Pages 96-105 doi: 10.1016/j.eng.2023.01.017

Abstract: To address these issues, this paper proposes a multi-objective adaptive optimization model predictivecontrol (MAO-MPC) method based on sparse identification.More specifically, with a large amount of data collected from a CFD model, a sparse regression problemis first formulated and solved to obtain a reduction model.Then, a two-layered control framework including real-time optimization (RTO) and model predictive control

Keywords: Zinc oxide rotary kiln     Model reduction     Sparse identification     Real-time optimization     Model predictive    

Identification of cancer stem cells provides novel tumor models for drug discovery

Douglas D. Fang, Danyi Wen, Yajun Xu

Frontiers of Medicine 2012, Volume 6, Issue 2,   Pages 112-121 doi: 10.1007/s11684-012-0199-1

Abstract:

Cancer stem cells (CSCs) have received considerable attention from the research community since they were first reported in human acute myeloid leukemia 15 years ago. Accumulating evidence suggests that CSCs are responsible for tumor initiation and progression, drug resistance, and metastasis in both liquid and solid tumors. These findings lead to the development of novel compounds targeting CSC populations that is becoming increasingly important for eradicating CSCs in heterogeneous tumor masses and to cure the cancer. Since 2003, we have participated in CSC studies and encountered crucial early events in the field. This article reviews the history of CSC biology, clarifies the term and its definition, and further addresses the issue of how to utilize CSCs in therapeutic target discovery and drug development based on our substantial experience.

Keywords: cancer stem cell     tumor model     drug discovery    

Variable stiffness and damping magnetorheological isolator

Yang ZHOU, Xingyu WANG, Xianzhou ZHANG, Weihua LI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3,   Pages 310-315 doi: 10.1007/s11465-009-0039-4

Abstract: The parameters of the model under various magnetic fields are identified, and the dynamic performance

Keywords: magnetorheological (MR) fluid     stiffness     damping     mathematical model     dynamic performance     parameter identification    

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 15-24 doi: 10.1007/s11465-009-0015-z

Abstract: However, some nonlinear factors are within the practical system; thus, it is difficult to fit the modelThe model simulation and experiments show that the GNAR model can accurately approximate to the dynamicThe modeling and prediction accuracy of the GNAR model is superior to the classical time series modelsThe proposed GNAR model is flexible and effective.

Keywords: linear and nonlinear     autoregressive model     system identification     time series analysis    

Ambient vibration testing and updating of the finite element model of a simply supported beam bridge

Ivan Gomez ARAUJO, Esperanza MALDONADO, Gustavo Chio CHO

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 344-354 doi: 10.1007/s11709-011-0124-8

Abstract: ambient vibration test on a concrete bridge constructed in 1971 and calibration of its finite element modelThen, these characteristics were used to update the finite element model of the bridge by formulatingtransverse; and these experimentally obtained dynamic characteristics were also achieved in the analytical modeloptimization techniques showed great versatility to optimize any number and type of variables in the model

Keywords: modal analysis     parameter identification     ambient vibration test     Eigensystem Realization Algorithm (ERA    

Title Author Date Type Operation

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

Identification of Time-delay Systems and Correction of NARMA Model

Wng Dongqing

Journal Article

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved

Journal Article

Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Journal Article

Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Journal Article

Kinematic Model Building and Servo Parameter Identification of 3-HSS Parallel Mechanism

YANG Zhi-yong, WU Jiang, HUANG Tian, NI Yan-bing

Journal Article

The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Journal Article

State identification of home appliance with transient features in residential buildings

Journal Article

Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Journal Article

Nonlinear restoring force identification based on measured time series

Xu Bin,He Jia

Journal Article

Multi-Objective Adaptive Optimization Model Predictive Control: Decreasing Carbon Emissions from a Zinc

Ke Wei, Keke Huang, Chunhua Yang, Weihua Gui

Journal Article

Identification of cancer stem cells provides novel tumor models for drug discovery

Douglas D. Fang, Danyi Wen, Yajun Xu

Journal Article

Variable stiffness and damping magnetorheological isolator

Yang ZHOU, Xingyu WANG, Xianzhou ZHANG, Weihua LI

Journal Article

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Journal Article

Ambient vibration testing and updating of the finite element model of a simply supported beam bridge

Ivan Gomez ARAUJO, Esperanza MALDONADO, Gustavo Chio CHO

Journal Article