{"title":"Attitude stabilization of a rigid body with measurement noise and time-delayed feedback","authors":"Manmohan Sharma , Ramalingam Sakthivel","doi":"10.1016/j.cnsns.2025.108887","DOIUrl":null,"url":null,"abstract":"<div><div>The article presents a method to stabilize the attitude of a rigid body in the presence of measurement noise and delayed feedback on the nonlinear manifold <span><math><mrow><mi>T</mi><mi>S</mi><mi>O</mi><mrow><mo>(</mo><mn>3</mn><mo>)</mo></mrow></mrow></math></span>. It is assumed that the measurements of angular velocity and attitude are influenced by a bounded white noise process. The analysis of such a system cannot be done with ordinary differential equations, but stochastic functional differential equations should be invoked. Moreover, for the stability analysis, It <span><math><mover><mrow><mi>o</mi></mrow><mrow><mo>ˆ</mo></mrow></mover></math></span>’s formula has been derived on <span><math><mrow><mi>T</mi><mi>S</mi><mi>O</mi><mrow><mo>(</mo><mn>3</mn><mo>)</mo></mrow></mrow></math></span> since the commonly used It <span><math><mover><mrow><mi>o</mi></mrow><mrow><mo>ˆ</mo></mrow></mover></math></span>’s formula cannot be used on <span><math><mrow><mi>T</mi><mi>S</mi><mi>O</mi><mrow><mo>(</mo><mn>3</mn><mo>)</mo></mrow></mrow></math></span>. Finally, Lyapunov Razumikhin’s theorem has been used to derive a condition for stabilizing attitude with delayed feedback. Simulation and comparison results have been presented to validate the theoretical findings.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108887"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425002989","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
The article presents a method to stabilize the attitude of a rigid body in the presence of measurement noise and delayed feedback on the nonlinear manifold . It is assumed that the measurements of angular velocity and attitude are influenced by a bounded white noise process. The analysis of such a system cannot be done with ordinary differential equations, but stochastic functional differential equations should be invoked. Moreover, for the stability analysis, It ’s formula has been derived on since the commonly used It ’s formula cannot be used on . Finally, Lyapunov Razumikhin’s theorem has been used to derive a condition for stabilizing attitude with delayed feedback. Simulation and comparison results have been presented to validate the theoretical findings.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
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