Controller Design for Distributed Parameter Systems [Bookshelf]

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.