Paper Info
Title
Data-Driven Output Regulation By External Models Of Linear Hybrid Systems With Periodic Jumps
Abstract
In this paper, the robust output regulation problem for linear hybrid systems in the presence of periodic jumps is considered. The solution is provided in terms of an External Model, as opposed to the classical implementation of an Internal Model, providing a suitable steady-state signal to the pre-stabilized plant. The construction of the External Model does not rely on the exact knowledge of any value defining the plant or its interconnection with the exosystem and it is based merely on input-output data. The design consists essentially in two different phases: firstly, the steady-state relation between the output error and the state of the External Model unit is estimated by means of input-output measurements, and, second, such estimate is exploited to suitably update the state of the External Model in order to generate the correct steady-state signal achieving regulation, in such a way that the original asymptotic stability property of the plant is not affected by the reset mechanism.
Year
Venue
Keywords
2016
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC)
Data-driven Output Regulation, Hybrid Systems, Robust Regulators
Field
DocType
ISSN
Mathematical optimization,Data-driven,Linear system,Computer science,Control theory,Robustness (computer science),Exponential stability,Steady state,Periodic graph (geometry),Hybrid system,Internal model
Conference
0743-1546
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Daniele Carnevale1768.50
Sergio Galeani239842.86
Mario Sassano315230.65