This book provides a self-contained introduction to control and estimator design for distributed parameter systems. Although there exist previous texts on this topic, there are several features that make this text very timely and unique. The text provides a mathematically rigorous framework for control and estimator design for distributed parameter systems. To make the material accessible to a wide range of readers, the author rigorously states results without proof and employs a suite of examples to illustrate the theory and demonstrate differences from finite-dimensional theory. To provide the framework required for stability analysis, linear-quadratic control design, disturbance rejection, state estimation, and input–output control design, the text summarizes the required infinite-dimensional systems theory and functional analysis in a chapter and an appendix. To highlight the central role of examples, several of the functional analysis results are illustrated using an example from sampling theory, which should be familiar to many readers. Through its combination of theory, approximation techniques, and examples, the text provides a valuable resource for both instructors and readers seeking a self-contained introduction to control and estimation for distributed parameter systems.

中文翻译：

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分布式参数系统的控制器设计 [书架]

这本书提供了对分布式参数系统的控制和估计器设计的独立介绍。尽管已有关于该主题的先前文本，但有几个特点使该文本非常及时和独特。本书为分布式参数系统的控制和估计器设计提供了一个严格的数学框架。为了使广大读者能够访问这些材料，作者在没有证明的情况下严格地陈述了结果，并使用了一组示例来说明理论并证明与有限维理论的差异。提供稳定性分析、线性二次控制设计、干扰抑制、状态估计和输入输出控制设计所需的框架，本书在一章和一个附录中总结了所需的无限维系统理论和泛函分析。为了突出示例的核心作用，使用抽样理论中的示例说明了几个泛函分析结果，这对许多读者来说应该很熟悉。通过将理论、逼近技术和示例相结合，本书为教师和读者提供了宝贵的资源，他们希望对分布式参数系统的控制和估计进行独立的介绍。