{"title":"Hamilton-Pfaff型偏微分方程的多维分数优化问题","authors":"Octavian Postavaru , Antonela Toma , Savin Treanţă","doi":"10.1016/j.cnsns.2025.108969","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we derive Hamilton–Pfaff-type partial differential equations (PDEs) by employing exterior differential techniques within the framework of a multi-dimensional fractional optimal control problem, incorporating principles from fractional calculus. This approach provides a rigorous analytical foundation for studying systems governed by non-integer order dynamics, thereby enhancing the understanding of complex control processes. By formulating a control Hamiltonian 1-form associated with the underlying fractional optimal control problem and its corresponding adjoint distributions, we systematically derive the Hamilton–Pfaff-type PDEs. These equations capture the intricate relationship between fractional dynamics and optimal control, paving the way for further investigation of sophisticated systems in a wide range of applications.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"150 ","pages":"Article 108969"},"PeriodicalIF":3.8000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hamilton–Pfaff type PDEs through multi-dimensional fractional optimization problems\",\"authors\":\"Octavian Postavaru , Antonela Toma , Savin Treanţă\",\"doi\":\"10.1016/j.cnsns.2025.108969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, we derive Hamilton–Pfaff-type partial differential equations (PDEs) by employing exterior differential techniques within the framework of a multi-dimensional fractional optimal control problem, incorporating principles from fractional calculus. This approach provides a rigorous analytical foundation for studying systems governed by non-integer order dynamics, thereby enhancing the understanding of complex control processes. By formulating a control Hamiltonian 1-form associated with the underlying fractional optimal control problem and its corresponding adjoint distributions, we systematically derive the Hamilton–Pfaff-type PDEs. These equations capture the intricate relationship between fractional dynamics and optimal control, paving the way for further investigation of sophisticated systems in a wide range of applications.</div></div>\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"150 \",\"pages\":\"Article 108969\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-06-02\",\"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/S1007570425003806\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425003806","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Hamilton–Pfaff type PDEs through multi-dimensional fractional optimization problems
In this paper, we derive Hamilton–Pfaff-type partial differential equations (PDEs) by employing exterior differential techniques within the framework of a multi-dimensional fractional optimal control problem, incorporating principles from fractional calculus. This approach provides a rigorous analytical foundation for studying systems governed by non-integer order dynamics, thereby enhancing the understanding of complex control processes. By formulating a control Hamiltonian 1-form associated with the underlying fractional optimal control problem and its corresponding adjoint distributions, we systematically derive the Hamilton–Pfaff-type PDEs. These equations capture the intricate relationship between fractional dynamics and optimal control, paving the way for further investigation of sophisticated systems in a wide range of applications.
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.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.