Input-to-State Stability for PDEs Input-to-State Stability for PDEs
    • $129.99

Publisher Description

This book lays the foundation for the study of input-to-state stability (ISS) of partial differential equations (PDEs) predominantly of two classes—parabolic and hyperbolic. This foundation consists of new PDE-specific tools.
In addition to developing ISS theorems, equipped with gain estimates with respect to external disturbances, the authors develop small-gain stability theorems for systems involving PDEs. A variety of system combinations are considered:
PDEs (of either class) with static maps;
PDEs (again, of either class) with ODEs;
PDEs of the same class (parabolic with parabolic and hyperbolic with hyperbolic); and
feedback loops of PDEs of different classes (parabolic with hyperbolic).

In addition to stability results (including ISS), the text develops existence and uniqueness theory for all systems that are considered. Many of these results answer for the first time the existence and uniqueness problems for many problems that have dominated the PDE control literature of the last two decades, including—for PDEs that include non-local terms—backstepping control designs which result in non-local boundary conditions.
Input-to-State Stability for PDEs will interest applied mathematicians and control specialists researching PDEs either as graduate students or full-time academics. It also contains  a large number of applications that are at the core of many scientific disciplines and so will be of importance for researchers in physics, engineering, biology, social systems and others.

GENRE
Professional & Technical
RELEASED
2018
June 7
LANGUAGE
EN
English
LENGTH
303
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
10.3
MB
Predictor Feedback for Delay Systems: Implementations and Approximations Predictor Feedback for Delay Systems: Implementations and Approximations
2017
Recent Results on Nonlinear Delay Control Systems Recent Results on Nonlinear Delay Control Systems
2015
Stability and Stabilization of Nonlinear Systems Stability and Stabilization of Nonlinear Systems
2011
Regularized System Identification Regularized System Identification
2022
Digital Control Systems Digital Control Systems
2007
Cooperative Control Design Cooperative Control Design
2011
Reinforcement Learning for Optimal Feedback Control Reinforcement Learning for Optimal Feedback Control
2018
Subspace Methods for System Identification Subspace Methods for System Identification
2006
Comparison Methods in Control Comparison Methods in Control
2025