Paper Info
Title
Improved Feed-Forward Command Governor Strategies for Constrained Discrete-Time Linear Systems
Abstract
This technical note presents an improved version of the Feed-Forward Command Governor (FF-CG) strategy recently proposed in for the supervision of input/state constrained discrete-time linear systems subject to bounded disturbances, whose main feature is not to require any explicit on-line measure (or estimation) of the state for its implementation. Although effective also in the case of bounded disturbances, the performance of earlier FF-CG schemes was mainly limited by the fact that such strategies were required to maintain constant their actions for a prescribed number of sampling steps. Here such a restriction is removed and the proposed FF-CG solution is allowed to update its action at each sampling step. Numerical simulations on a physical plant have been undertaken and comparisons with other strategies have been reported in order to show the effectiveness of the proposed approach.
Year
DOI
Venue
2014
10.1109/TAC.2013.2270037
Automatic Control, IEEE Transactions  
Keywords
Field
DocType
discrete time systems,feedforward,linear systems,numerical analysis,FF-CG strategy,bounded disturbances,explicit online measure,feedforward command governor strategy,input-state constrained discrete-time linear systems,numerical simulations,physical plant,Command governor,linear systems,sensorless super vision
Mathematical optimization,Linear system,Control theory,Discrete time nonlinear systems,Physical plant,Sampling (statistics),Numerical analysis,Governor,Mathematics,Bounded function,Feed forward
Journal
Volume
Issue
ISSN
59
1
0018-9286
Citations 
PageRank 
References 
9
0.67
7
Authors
3
Name
Order
Citations
PageRank
Alessandro Casavola1121.78
E. Garone2578.10
Francesco Tedesco3101.05