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New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 386-392 doi: 10.1007/s11465-009-0041-x

Abstract: In this paper, a new decentralized control technique is proposed based on the linear quadratic Gaussian(LQG) and substructure approaches.control provides satisfactory control performance when comparing with the conventional centralized LQG

Keywords: substructures     decentralized control     linear quadratic Gaussian (LQG)     Kalman filter     unknown input     least-squares    

Linear quadratic optimal controller for cable-driven parallel robots

Saeed ABDOLSHAH,Erfan SHOJAEI BARJUEI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 344-351 doi: 10.1007/s11465-015-0364-8

Abstract: A linear quadratic (LQ) optimal controller can provide all the states of a system for the feedback, such

Keywords: accuracy     cable-driven parallel robot     linear quadratic optimal control    

A linear quadratic regulator control of a stand-alone PEM fuel cell power plant

Amar BENAISSA, Boualaga RABHI, Ammar MOUSSI, Dahmani AISSA

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 62-72 doi: 10.1007/s11708-013-0291-5

Abstract: This paper introduces a technique based on linear quadratic regulator (LQR) to control the output voltage

Keywords: modeling of proton exchange membrane fuel cell (PEMFC)     controlling of PEMFC     linear quadratic regulator    

Load shedding scheme for the two-area system with linear quadratic regulator

D. TYAGI, Ashwani KUMAR, Saurabh CHANANA

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 90-102 doi: 10.1007/s11708-012-0224-8

Abstract: conducted for three scenarios: the scheme with a conventional integral controller; the scheme with a linearquadratic regulator (LQR); and the scheme with an LQR and superconducting magnetic energy storage devices

Keywords: critical load     frequency response     load shedding (LS)     multi-area system     rate of change of frequency     linearquadratic regulator (LQR)     superconducting magnetic energy storage devices (SMES)    

Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on Article

Lin CAO, Shuo TANG, Dong ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 882-897 doi: 10.1631/FITEE.1601363

Abstract: In this paper, we propose a linear-quadratic regulator (LQR) design method based on stochastic robustness

Keywords: Air-breathing hypersonic vehicles (AHVs)     Stochastic robustness analysis     Linear-quadratic regulator    

Neural network control for earthquake structural vibration reduction using MRD

Khaled ZIZOUNI, Leyla FALI, Younes SADEK, Ismail Khalil BOUSSERHANE

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1171-1182 doi: 10.1007/s11709-019-0544-4

Abstract: The proposed controller is derived from a linear quadratic controller designed to control an MR damper

Keywords: MR damper     semi-active control     earthquake vibration     neural network     linear quadratic control    

Simulation and analysis of grinding wheel based on Gaussian mixture model

Yulun CHI, Haolin LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 427-432 doi: 10.1007/s11465-012-0350-3

Abstract: The Gaussian mixture model (GMM) is used to transform the measured non-Gaussian field to Gaussian fields

Keywords: grinding wheel     3D topographies measurement     Gaussian mixture model     simulation    

A new type of quadratic acceleration method

Changqing LI, Menglin LOU,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 302-310 doi: 10.1007/s11709-010-0026-1

Abstract: When stability field and computational accuracy are taken into account at the same time, the quadraticacceleration method is superior to linear and cubic acceleration methods in choosing the maximum acceptableIt is also shown that the quadratic acceleration method has desirable arithmetic damp, amplitude decay

Keywords: polynomial acceleration method     convergence     stability     square acceleration method    

Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 429-439 doi: 10.1007/s11705-017-1675-6

Abstract: based on modified structure analysis and globality and locality preserving (MSAGL) projection, for non-Gaussianlocality preserving projection to analyze the embedding geometrical manifold and extracting the non-Gaussian

Keywords: non-Gaussian processes     subspace projection     independent component analysis     locality preserving projection    

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: This article examines the capability of Gaussian process regression (GPR) for prediction of effective

Keywords: unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

Active steering control strategy for articulated vehicles Project supported by the Program for Changjiang Scholars and Innovative Research Team in University, China (No. IRT0626) Article

Kyong-il KIM,Hsin GUAN,Bo WANG,Rui GUO,Fan LIANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 576-586 doi: 10.1631/FITEE.1500211

Abstract: vehicles, we design an active steering controller, including tractor and trailer controllers, based on linearquadratic regulator (LQR) theory.

Keywords: Articulated vehicle     Sharp curve     Lateral stability     Linear quadratic regulator (LQR)    

Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 276-287 doi: 10.1007/s11709-013-0207-9

Abstract: This paper describes an inverse Gaussian process-based model to characterize the growth of metal-loss

Keywords: pipeline     metal-loss corrosion     inverse Gaussian process     measurement error     hierarchical Bayesian     Markov    

operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract: Then, by using a Gaussian process regression machine (GPRM), a reliable model is used for the sake of

Keywords: automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty    

prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian

Frontiers in Energy doi: 10.1007/s11708-023-0906-4

Abstract: prediction accuracy of the RUL of LIBs, a two-phase RUL early prediction method combining neural network and Gaussian

Keywords: lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression    

Design and analysis of linear oscillating motor for linear pump application-magnetic field, dynamics

Zongxia JIAO,Tianyi WANG,Liang YAN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 351-362 doi: 10.1007/s11465-016-0407-9

Abstract:

A linear oscillating motor is an electromagnetic actuator that can achieve short-stroke reciprocatingIt has been widely used in linear pump applications as the source of power and motion.However, because of the demand of high power density in a linear actuation system, the performance oflinear oscillating motors has been the focus of studies and deserves further research for high powerlinear pump applications.

Keywords: linear oscillating motor     linear pump     magnetic field     motor optimization    

Title Author Date Type Operation

New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Journal Article

Linear quadratic optimal controller for cable-driven parallel robots

Saeed ABDOLSHAH,Erfan SHOJAEI BARJUEI

Journal Article

A linear quadratic regulator control of a stand-alone PEM fuel cell power plant

Amar BENAISSA, Boualaga RABHI, Ammar MOUSSI, Dahmani AISSA

Journal Article

Load shedding scheme for the two-area system with linear quadratic regulator

D. TYAGI, Ashwani KUMAR, Saurabh CHANANA

Journal Article

Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on

Lin CAO, Shuo TANG, Dong ZHANG

Journal Article

Neural network control for earthquake structural vibration reduction using MRD

Khaled ZIZOUNI, Leyla FALI, Younes SADEK, Ismail Khalil BOUSSERHANE

Journal Article

Simulation and analysis of grinding wheel based on Gaussian mixture model

Yulun CHI, Haolin LI

Journal Article

A new type of quadratic acceleration method

Changqing LI, Menglin LOU,

Journal Article

Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

Active steering control strategy for articulated vehicles Project supported by the Program for Changjiang Scholars and Innovative Research Team in University, China (No. IRT0626)

Kyong-il KIM,Hsin GUAN,Bo WANG,Rui GUO,Fan LIANG

Journal Article

Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Journal Article

operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article

prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian

Journal Article

Design and analysis of linear oscillating motor for linear pump application-magnetic field, dynamics

Zongxia JIAO,Tianyi WANG,Liang YAN

Journal Article