Hamilton-Pfaff型偏微分方程的多维分数优化问题

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Octavian Postavaru , Antonela Toma , Savin Treanţă
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引用次数: 0

摘要

在本文中,我们在一个多维分数阶最优控制问题的框架内,结合分数阶微积分的原理,利用外部微分技术推导出hamilton - pfaff型偏微分方程。这种方法为研究由非整数顺序动力学控制的系统提供了严格的分析基础,从而增强了对复杂控制过程的理解。通过构造与潜在分数阶最优控制问题相关的控制hamilton - 1型及其伴随分布,系统地导出了hamilton - pfaff型最优控制问题。这些方程捕捉了分数阶动力学和最优控制之间的复杂关系,为进一步研究广泛应用的复杂系统铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
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.
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