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Expression of Concern to: Composite recurrent Laguerre orthogonal polynomials neural network dynamic control for continuously variable transmission system using altered particle swarm optimization

Nonlinear dynamics, 2021-03, Vol.104 (1), p.883-883

Lin, Chih-Hong

2021

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Permanent-Magnet Synchronous Motor Drive System Using Backstepping Control with Three Adaptive Rules and Revised Recurring Sieved Pollaczek Polynomials Neural Network with Reformed Grey Wolf Optimization and Recouped Controller

Energies (Basel), 2020-11, Vol.13 (22), p.5870

Lin, Chih-Hong

2020

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Precision Motion Control of a Linear Permanent Magnet Synchronous Machine Based on Linear Optical-Ruler Sensor and Hall Sensor

Sensors (Basel, Switzerland), 2018-10, Vol.18 (10), p.3345

Lin, Chih-Hong

2018

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Altered Grey Wolf Optimization and Taguchi Method with FEA for Six-Phase Copper Squirrel Cage Rotor Induction Motor Design

Energies (Basel), 2020-05, Vol.13 (9), p.2282

Lin, Chih-Hong

2020

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Nonlinear backstepping control design of LSM drive system using adaptive modified recurrent Laguerre orthogonal polynomial neural network

International Journal of Control, 2017, Automation, and Systems, 15(2), , pp.905-917

Lin, Chih-hong

2017

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Comparative dynamic control for continuously variable transmission with nonlinear uncertainty using blend amend recurrent Gegenbauer-functional-expansions neural network

Nonlinear dynamics, 2017-02, Vol.87 (3), p.1467-1493

Lin, Chih-Hong

2017

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Integral backstepping control with RRFNN and MPSO of LPMSM drive system

Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 2020-08, Vol.234 (7), p.834-848

Chih-Hong, Lin

2020

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Composite recurrent Laguerre orthogonal polynomials neural network dynamic control for continuously variable transmission system using altered particle swarm optimization

Nonlinear dynamics, 2015-08, Vol.81 (3), p.1219-1245

Lin, Chih-Hong

2015

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Adaptive nonlinear backstepping control using mended recurrent Romanovski polynomials neural network and mended particle swarm optimization for switched reluctance motor drive system

Transactions of the Institute of Measurement and Control, 2019-10, Vol.41 (14), p.4114-4128

Chih-Hong, Lin

2019

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Linear permanent magnet synchronous motor drive system using AAENNB Control system with error compensation controller and CPSO

Electrical engineering, 2020-09, Vol.102 (3), p.1311-1325

Lin, Chih-Hong

2020

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Clever backstepping control using two adaptive laws, a RRFNN and a compensated controller of SPCRIM drive system

Journal of intelligent & fuzzy systems, 2020-04, Vol.38 (4), p.5077-5093

Lin, Chih-Hong

2020

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Multiobjective Optimization Design for a Six-Phase Copper Rotor Induction Motor Mounted With a Scroll Compressor

IEEE transactions on magnetics, 2016-07, Vol.52 (7), p.1-4

2016

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Hybrid recurrent wavelet neural network control of PMSM servo-drive system for electric scooter

International Journal of Control, 2014, Automation, and Systems, 12(1), , pp.177-187

Lin, Chih-Hong

2014

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Micrometer Backstepping Control System for Linear Motion Single Axis Robot Machine Drive

Sensors (Basel, Switzerland), 2019-08, Vol.19 (16), p.3616

2019

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High Performances Design of a Six-Phase Synchronous Reluctance Motor Using Multi-Objective Optimization with Altered Bee Colony Optimization and Taguchi Method

Energies (Basel), 2018-10, Vol.11 (10), p.2716

2018

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Size effect of Ag nanoparticles on surface plasmon resonance

Surface & coatings technology, 2008-08, Vol.202 (22-23), p.5339-5342

2008

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Backstepping control and revamped recurrent fuzzy neural network with mended ant colony optimization applied in SCRIM drive system

Journal of intelligent & fuzzy systems, 2019-01, Vol.36 (4), p.3447-3459

Lin, Chih-Hong

2019

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A LEAF-FSO-Wireless Integrated System Using DFB LD With Multiple Side Modes Injection Locking

Journal of lightwave technology, 2024-05, Vol.42 (10), p.3684-3694

2024

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Dynamic control of V-belt continuously variable transmission-driven electric scooter using hybrid modified recurrent legendre neural network control system

Nonlinear dynamics, 2015-01, Vol.79 (2), p.787-808

Lin, Chih-Hong

2015

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Dynamic control for permanent magnet synchronous generator system using novel modified recurrent wavelet neural network

Nonlinear dynamics, 2014-09, Vol.77 (4), p.1261-1284

Lin, Chih-Hong

2014

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Hybrid recurrent Laguerre-orthogonal-polynomials neural network control with modified particle swarm optimization application for V-belt continuously variable transmission system

Neural computing & applications, 2017-02, Vol.28 (2), p.245-264

Chih-Hong, Lin

2017

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A Rectified Reiterative Sieved-Pollaczek Polynomials Neural Network Backstepping Control with Improved Fish School Search for Motor Drive System

Mathematics (Basel), 2020-10, Vol.8 (10), p.1699

Lin, Chih-Hong

2020

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A Backstepping Control of LSM Drive Systems Using Adaptive Modified Recurrent Laguerre OPNNUO

JOURNAL OF POWER ELECTRONICS, 2016-03, Vol.16 (2), p.598-609

Lin, Chih-Hong

2016

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Sage Revised Reiterative Even Zernike Polynomials Neural Network Control with Modified Fish School Search Applied in SSCCRIM Impelled System

Mathematics (Basel), 2020-10, Vol.8 (10), p.1760

Lin, Chih-Hong

2020

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RETRACTED ARTICLE: Mended grey wolf optimization and Taguchi method with multi-goal optimization for six-phase copper rotor induction motor design

Engineering optimization, 2024-06, Vol.56 (6), p.I-XX

Lin, Chih-Hong

2024

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Expression of Concern to: Composite recurrent Laguerre orthogonal polynomials neural network dynamic control for continuously variable transmission system using altered particle swarm optimization

Permanent-Magnet Synchronous Motor Drive System Using Backstepping Control with Three Adaptive Rules and Revised Recurring Sieved Pollaczek Polynomials Neural Network with Reformed Grey Wolf Optimization and Recouped Controller

Precision Motion Control of a Linear Permanent Magnet Synchronous Machine Based on Linear Optical-Ruler Sensor and Hall Sensor

Altered Grey Wolf Optimization and Taguchi Method with FEA for Six-Phase Copper Squirrel Cage Rotor Induction Motor Design

Nonlinear backstepping control design of LSM drive system using adaptive modified recurrent Laguerre orthogonal polynomial neural network

Comparative dynamic control for continuously variable transmission with nonlinear uncertainty using blend amend recurrent Gegenbauer-functional-expansions neural network

Integral backstepping control with RRFNN and MPSO of LPMSM drive system

Composite recurrent Laguerre orthogonal polynomials neural network dynamic control for continuously variable transmission system using altered particle swarm optimization

Adaptive nonlinear backstepping control using mended recurrent Romanovski polynomials neural network and mended particle swarm optimization for switched reluctance motor drive system

Linear permanent magnet synchronous motor drive system using AAENNB Control system with error compensation controller and CPSO

Clever backstepping control using two adaptive laws, a RRFNN and a compensated controller of SPCRIM drive system

Multiobjective Optimization Design for a Six-Phase Copper Rotor Induction Motor Mounted With a Scroll Compressor

Hybrid recurrent wavelet neural network control of PMSM servo-drive system for electric scooter

Micrometer Backstepping Control System for Linear Motion Single Axis Robot Machine Drive

High Performances Design of a Six-Phase Synchronous Reluctance Motor Using Multi-Objective Optimization with Altered Bee Colony Optimization and Taguchi Method

Size effect of Ag nanoparticles on surface plasmon resonance

Backstepping control and revamped recurrent fuzzy neural network with mended ant colony optimization applied in SCRIM drive system

A LEAF-FSO-Wireless Integrated System Using DFB LD With Multiple Side Modes Injection Locking

Dynamic control of V-belt continuously variable transmission-driven electric scooter using hybrid modified recurrent legendre neural network control system

Dynamic control for permanent magnet synchronous generator system using novel modified recurrent wavelet neural network

Hybrid recurrent Laguerre-orthogonal-polynomials neural network control with modified particle swarm optimization application for V-belt continuously variable transmission system

A Rectified Reiterative Sieved-Pollaczek Polynomials Neural Network Backstepping Control with Improved Fish School Search for Motor Drive System

A Backstepping Control of LSM Drive Systems Using Adaptive Modified Recurrent Laguerre OPNNUO

Sage Revised Reiterative Even Zernike Polynomials Neural Network Control with Modified Fish School Search Applied in SSCCRIM Impelled System

RETRACTED ARTICLE: Mended grey wolf optimization and Taguchi method with multi-goal optimization for six-phase copper rotor induction motor design

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