An optimization-based framework for impulsive control systems

• Tipo: Capítulo ou Parte de Livro
• Data: 2015

Autores

Fernando Lobo Pereira (Autor) FEUP; fontes, facc (Autor) FEUP; Aguiar, AP (Autor) FEUP; João Tasso Sousa (Autor) FEUP

Livro

Título: Developments in Model-Based Optimization and Control. Distributed control and industrial applications

1º Edição

Páginas: 277-300

ISBN: 978-3-319-26685-5

ISBN Eletrónico: 978-3-319-26687-9

Editora: Springer Publishing

Indexação

Scopus - 10 Citações

Outras Informações

ID Authenticus: P-00K-4AD

DOI: 10.1007/978-3-319-26687-9_13

Abstract (EN): This chapter concerns a discrete-time sampling state feedback control optimizing framework for dynamic impulsive systems. This class of control systems differs from the conventional ones in that the control space is enlarged to contain measures and, thus, the associated trajectories are merely of bounded variation. In other words, it may well exhibit jumps. We adopt the most recent impulsive control solution concept that pertains to important classes of engineering systems and, in this context, present impulsive control theory results on invariance, stability, and sampled data trajectories having in mind the optimization-based framework that relies on an MPC-like scheme. The stability of the proposed MPC scheme is addressed. © Springer International Publishing Switzerland 2015.

Idioma: Inglês

Tipo (Avaliação Docente): Científica