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Novel algorithms for the synchronization control of nonlinear systems
Author(s) -
Tomei Patrizio,
Verrelli Cristiano Maria
Publication year - 2016
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2627
Subject(s) - synchronization (alternating current) , convergence (economics) , identifier , computer science , control theory (sociology) , nonlinear system , identification (biology) , control (management) , algorithm , artificial intelligence , telecommunications , quantum mechanics , channel (broadcasting) , physics , botany , economics , biology , programming language , economic growth
Summary We show how the design of repetitive learning controls, which typically require perfect knowledge of the period T characterizing the periodic reference signals to be tracked, can be generalized, through the design of novel recursive add‐on period identifiers, to face sufficiently small period uncertainties in synchronization problems. Exponential period identification is achieved so that the asymptotic convergence properties guaranteed by the classical learning controls are preserved. Simulation results concerning multi‐link robot synchronization tasks are included. Copyright © 2015 John Wiley & Sons, Ltd.