半线性演化方程流动的好求和特性

IF 1.8 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Mathematics of Control Signals and Systems Pub Date : 2023-12-07 DOI:10.1007/s00498-023-00378-x
Andrii Mironchenko
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引用次数: 0

摘要

我们推导出了输入算子无界的半线性演化方程的良好求解条件。在此基础上,我们提供了流图特性的充分条件,如 Lipschitz 连续性、有界-暗示-连续特性、可达性集的有界性等。这些性质代表了半线性边界控制系统稳定性和鲁棒性分析的基本工具箱。我们的研究涵盖了由(C_0\)半群和可能同时具有边界干扰和分布干扰的解析半群支配的系统。我们以一个具有非线性局部动力学以及分布式和边界扰动的布尔格斯方程为例,说明我们的发现。
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Well-posedness and properties of the flow for semilinear evolution equations

We derive conditions for well-posedness of semilinear evolution equations with unbounded input operators. Based on this, we provide sufficient conditions for such properties of the flow map as Lipschitz continuity, bounded-implies-continuation property, boundedness of reachability sets, etc. These properties represent a basic toolbox for stability and robustness analysis of semilinear boundary control systems. We cover systems governed by general \(C_0\)-semigroups, and analytic semigroups that may have both boundary and distributed disturbances. We illustrate our findings on an example of a Burgers’ equation with nonlinear local dynamics and both distributed and boundary disturbances.

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来源期刊
Mathematics of Control Signals and Systems
Mathematics of Control Signals and Systems 工程技术-工程:电子与电气
CiteScore
2.90
自引率
0.00%
发文量
18
审稿时长
>12 weeks
期刊介绍: Mathematics of Control, Signals, and Systems (MCSS) is an international journal devoted to mathematical control and system theory, including system theoretic aspects of signal processing. Its unique feature is its focus on mathematical system theory; it concentrates on the mathematical theory of systems with inputs and/or outputs and dynamics that are typically described by deterministic or stochastic ordinary or partial differential equations, differential algebraic equations or difference equations. Potential topics include, but are not limited to controllability, observability, and realization theory, stability theory of nonlinear systems, system identification, mathematical aspects of switched, hybrid, networked, and stochastic systems, and system theoretic aspects of optimal control and other controller design techniques. Application oriented papers are welcome if they contain a significant theoretical contribution.
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