H-Systems H-Systems
Communications and Control Engineering

H-Systems

Observability, Diagnosability, and Predictability of Hybrid Dynamical Systems

    • £104.99
    • £104.99

Publisher Description

This book focuses on the observability of hybrid systems. It enables the reader to determine whether and how a hybrid system’s state can be reconstructed from sometimes necessarily partial information. By explaining how available measurements can be used to deduce past and future behaviours of a system, the authors extend this study of observability to embrace the properties of diagnosability and predictability.

H-systems shows how continuous and discrete dynamics and their interaction affect the observability of this general class of hybrid systems and demonstrates that hybrid characteristics are not simply generalizations of well-known aspects of traditional dynamics. The authors identify conditions for state reconstruction, prediction and diagnosis of the occurrence of possibly faulty states. The formal approach to proving those properties for hybrid systems is accompanied by simple illustrative examples. For readers who are interested in the use of state estimation for controller design, the book also provides design methods for hybrid state observers and covers their application in some industrial cases.

The book’s tutorial approach to the various forms of observability of hybrid systems helps to make H-systems of interest to academic researchers and graduate students working in control and to practitioners using control in an industrial environment.

GENRE
Professional & Technical
RELEASED
2023
8 May
LANGUAGE
EN
English
LENGTH
314
Pages
PUBLISHER
Springer International Publishing
SIZE
26.4
MB

Other Books in This Series

Distributed Consensus in Multi-vehicle Cooperative Control Distributed Consensus in Multi-vehicle Cooperative Control
2007
Input-to-State Stability Input-to-State Stability
2023
Learning and Robust Control in Quantum Technology Learning and Robust Control in Quantum Technology
2023
Regularized System Identification Regularized System Identification
2022
Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory
2022
Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems
2020