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An optimization-based framework for impulsive control systems
Title
An optimization-based framework for impulsive control systems
Type
Chapter or Part of a Book
Year
2015
Authors
Fernando Lobo Pereira
(Author)
FEUP
fontes, facc
(Author)
FEUP
Aguiar, AP
(Author)
FEUP
João Tasso Sousa
(Author)
FEUP
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Book
Title:
Developments in Model-Based Optimization and Control. Distributed control and industrial applicationsImported from Authenticus
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1º Edition
Pages: 277-300
ISBN:
978-3-319-26685-5
Electronic ISBN:
978-3-319-26687-9
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Authenticus ID:
P-00K-4AD
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.
Language:
English
Type (Professor's evaluation):
Scientific
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