Springer Control of Higher–Dimensional PDEs: Flatness and Backstepping Designs (Communications and Control Engineering)

This monograph presents new model-based design methods for trajectory planning, feedback stabilization, state estimation, and tracking control of distributed-parameter systems governed by partial differential equations (PDEs). Flatness and backstepping techniques and their generalization to PDEs with higher-dimensional spatial domain lie at the core of this treatise. This includes the development of systematic late lumping design procedures and the deduction of semi-numerical approaches using suitable approximation methods. Theoretical developments are combined with both simulation examples and experimental results to bridge the gap between mathematical theory and control engineering practice in the rapidly evolving PDE control area. The text is divided into five parts featuring: - a literature survey of paradigms and control design methods for PDE systems - the first principle mathematical modeling of applications arising in heat and mass transfer, interconnected multi-agent systems, and piezo-actuated smart elastic structures - the generalization of flatness-based trajectory planning and feedforward control to parabolic and biharmonic PDE systems defined on general higher-dimensional domains - an extension of the backstepping approach to the feedback control and observer design for parabolic PDEs with parallelepiped domain and spatially and time varying parameters - the development of design techniques to realize exponentially stabilizing tracking control - the evaluation in simulations and experiments Control of Higher-Dimensional PDEs ― Flatness and Backstepping Designs is an advanced research monograph for graduate students in applied mathematics, control theory, and related fields. The book may serve as a reference to recent developments for researchers and control engineers interested in the analysis and control of systems governed by PDEs. Review From the reviews: “This research monograph is designed for graduate students in applied mathematics and control theory and also as a reference for control engineers and mathematics researchers working in the control of PDEs. The book has a section on modeling that is an excellent reference for graduate students aiming to understand the derivation of partial differential models related to applications and control. The theoretical results are complemented with simulations and numerical experiments.” (Luz de Teresa, Mathematical Reviews, October, 2013) “The reviewed monograph is devoted to a systematic study of various control problems for dynamical systems governed by partial differential equations with higher-dimensional spatial domain. … it should be pointed out, that the reviewed monograph contains an extensive list of references, many remarks and comments on distributed infinite-dimensional control systems with higher-dimensional spatial domain and examples which illustrate the theoretical considerations.” (Jerzy Klamka, Zentralblatt MATH, Vol. 1253, 2013) From the Back Cover This monograph presents new model-based design methods for trajectory planning, feedback stabilization, state estimation, and tracking control of distributed-parameter systems governed by partial differential equations (PDEs). Flatness and backstepping techniques and their generalization to PDEs with higher-dimensional spatial domain lie at the core of this treatise. This includes the development of systematic late lumping design procedures and the deduction of semi-numerical approaches using suitable approximation methods. Theoretical developments are combined with both simulation examples and experimental results to bridge the gap between mathematical theory and control engineering practice in the rapidly evolving PDE control area. The text is divided into five parts featuring: - a literature survey of paradigms and control design methods for PDE systems - the first principle mathematical modeling of applications arising in heat and mass transfer, in