A Modified Structured Spectral HS Method for Nonlinear Least Squares Problems and Applications in Robot Arm Control

This paper proposes a modification to the Hestenes-Stiefel (HS) method by devising a spectral parameter using a modified secant relation to solve nonlinear least-squares problems. Notably, in the implementation, the proposed method differs from existing approaches, in that it does not require a safe...

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Main Authors: Rabiu Bashir Yunus, Nooraini Zainuddin, Hanita Daud, Ramani Kannan, Samsul Ariffin Abdul Karim, Mahmoud Muhammad Yahaya
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/14/3215
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author Rabiu Bashir Yunus
Nooraini Zainuddin
Hanita Daud
Ramani Kannan
Samsul Ariffin Abdul Karim
Mahmoud Muhammad Yahaya
author_facet Rabiu Bashir Yunus
Nooraini Zainuddin
Hanita Daud
Ramani Kannan
Samsul Ariffin Abdul Karim
Mahmoud Muhammad Yahaya
author_sort Rabiu Bashir Yunus
collection DOAJ
description This paper proposes a modification to the Hestenes-Stiefel (HS) method by devising a spectral parameter using a modified secant relation to solve nonlinear least-squares problems. Notably, in the implementation, the proposed method differs from existing approaches, in that it does not require a safeguarding strategy and its Hessian matrix is positive and definite throughout the iteration process. Numerical experiments are conducted on a range of test problems, with 120 instances to demonstrate the efficacy of the proposed algorithm by comparing it with existing techniques in the literature. However, the results obtained validate the effectiveness of the proposed method in terms of the standard metrics of comparison. Additionally, the proposed approach is applied to address motion-control problems in a robotic model, resulting in favorable outcomes in terms of the robot’s motion characteristics.
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spelling doaj.art-778246bc62c74e2b86cdc23a04da299d2023-11-18T20:22:18ZengMDPI AGMathematics2227-73902023-07-011114321510.3390/math11143215A Modified Structured Spectral HS Method for Nonlinear Least Squares Problems and Applications in Robot Arm ControlRabiu Bashir Yunus0Nooraini Zainuddin1Hanita Daud2Ramani Kannan3Samsul Ariffin Abdul Karim4Mahmoud Muhammad Yahaya5Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak Darul Ridzuan, MalaysiaDepartment of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak Darul Ridzuan, MalaysiaDepartment of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak Darul Ridzuan, MalaysiaDepartment of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak Darul Ridzuan, MalaysiaSoftware Engineering Programme, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, MalaysiaDepartment of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thung Khru, Bangkok 10140, ThailandThis paper proposes a modification to the Hestenes-Stiefel (HS) method by devising a spectral parameter using a modified secant relation to solve nonlinear least-squares problems. Notably, in the implementation, the proposed method differs from existing approaches, in that it does not require a safeguarding strategy and its Hessian matrix is positive and definite throughout the iteration process. Numerical experiments are conducted on a range of test problems, with 120 instances to demonstrate the efficacy of the proposed algorithm by comparing it with existing techniques in the literature. However, the results obtained validate the effectiveness of the proposed method in terms of the standard metrics of comparison. Additionally, the proposed approach is applied to address motion-control problems in a robotic model, resulting in favorable outcomes in terms of the robot’s motion characteristics.https://www.mdpi.com/2227-7390/11/14/3215conjugate gradientiterative algorithmnonlinear least-squaressecant equationrobotic modelquasi-Newton
spellingShingle Rabiu Bashir Yunus
Nooraini Zainuddin
Hanita Daud
Ramani Kannan
Samsul Ariffin Abdul Karim
Mahmoud Muhammad Yahaya
A Modified Structured Spectral HS Method for Nonlinear Least Squares Problems and Applications in Robot Arm Control
Mathematics
conjugate gradient
iterative algorithm
nonlinear least-squares
secant equation
robotic model
quasi-Newton
title A Modified Structured Spectral HS Method for Nonlinear Least Squares Problems and Applications in Robot Arm Control
title_full A Modified Structured Spectral HS Method for Nonlinear Least Squares Problems and Applications in Robot Arm Control
title_fullStr A Modified Structured Spectral HS Method for Nonlinear Least Squares Problems and Applications in Robot Arm Control
title_full_unstemmed A Modified Structured Spectral HS Method for Nonlinear Least Squares Problems and Applications in Robot Arm Control
title_short A Modified Structured Spectral HS Method for Nonlinear Least Squares Problems and Applications in Robot Arm Control
title_sort modified structured spectral hs method for nonlinear least squares problems and applications in robot arm control
topic conjugate gradient
iterative algorithm
nonlinear least-squares
secant equation
robotic model
quasi-Newton
url https://www.mdpi.com/2227-7390/11/14/3215
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