Singularly Perturbed Jump Systems [electronic resource] : Stability, Synchronization and Control / by Hao Shen, Ju H. Park, Feng Li, Jing Wang.

Por: Shen, Hao [author.]Colaborador(es): Park, Ju H [author.] | Li, Feng [author.] | Wang, Jing [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Systems, Decision and Control ; 522Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XII, 249 p. 102 illus., 101 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819701988Tema(s): Control engineering | System theory | Control theory | Control and Systems Theory | Systems Theory, ControlFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8312 | 003 Clasificación LoC:TJ212-225Recursos en línea: Libro electrónicoTexto
Contenidos:
Chapter 1 Introduction and Preview -- Chapter 2 Stochastic Stability Analysis and Stabilization -- Chapter 3 Control of Linear Systems Case -- Chapter 4 Control of Nonlinear Systems Case -- Chapter 5 Synchronization of Complex Networks Case -- Chapter 6 Stabilization of Linear Systems Case -- Chapter 7 Stabilization of Nonlinear Systems Case -- Chapter 8 Synchronization of Complex Networks Case -- Chapter 9 Control of Linear Systems Case -- Chapter 10 Control of Nonlinear Systems Case -- Chapter 11 Finite-time Control Case.
En: Springer Nature eBookResumen: In this book, various singularly perturbed jump system models in continuous-time or discrete-time domain, such as Markov jump singularly perturbed systems, semi-Markov jump singularly perturbed systems, hidden Markov jump singularly perturbed systems, and singularly perturbed jump complex network model, have been considered for some control synthesis problems. Also, some partial probability information cases are taken into account when addressing those control synthesis problems. To show the effectiveness and applicability of the obtained results, some numerical examples and practical industrial model examples are given.
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Chapter 1 Introduction and Preview -- Chapter 2 Stochastic Stability Analysis and Stabilization -- Chapter 3 Control of Linear Systems Case -- Chapter 4 Control of Nonlinear Systems Case -- Chapter 5 Synchronization of Complex Networks Case -- Chapter 6 Stabilization of Linear Systems Case -- Chapter 7 Stabilization of Nonlinear Systems Case -- Chapter 8 Synchronization of Complex Networks Case -- Chapter 9 Control of Linear Systems Case -- Chapter 10 Control of Nonlinear Systems Case -- Chapter 11 Finite-time Control Case.

In this book, various singularly perturbed jump system models in continuous-time or discrete-time domain, such as Markov jump singularly perturbed systems, semi-Markov jump singularly perturbed systems, hidden Markov jump singularly perturbed systems, and singularly perturbed jump complex network model, have been considered for some control synthesis problems. Also, some partial probability information cases are taken into account when addressing those control synthesis problems. To show the effectiveness and applicability of the obtained results, some numerical examples and practical industrial model examples are given.

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