Theory of Hybrid Systems: Deterministic and Stochastic (Paperback, Softcover reprint of the original 1st ed. 2018)

This book is the first to present the application of the hybrid system theory to systems with EPCA (equations with piecewise continuous arguments). The hybrid system paradigm is a valuable modeling tool for describing a wide range of real-world applications. Moreover, although new technology has produced, and continues to produce highly hierarchical sophisticated machinery that cannot be analyzed as a whole system, hybrid system representation can be used to reduce the structural complexity of these systems. That is to say, hybrid systems have become a modeling priority, which in turn has led to the creation of a promising research field with several application areas. As such, the book explores recent developments in the area of deterministic and stochastic hybrid systems using the Lyapunov and Razumikhin-Lyapunov methods to investigate the systems' properties. It also describes properties such as stability, stabilization, reliable control, H-infinity optimal control, input-to-state stability (ISS)/stabilization, state estimation, and large-scale singularly perturbed systems.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Nonlinear Physical Science
Release date:	February 2019
First published:	2018
Authors:	Mohamad S. Alwan • Xinzhi Liu
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	241
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-981-13-4047-5
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	981-13-4047-1
Barcode:	9789811340475

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