DocumentCode
3539329
Title
An explicit solution to constrained stabilization via polytopic tubes
Author
Brunner, Florian D. ; Lazar, Mircea ; Allgower, F.
Author_Institution
Inst. for Syst. Theor. & Autom. Control (IST), Univ. of Stuttgart, Stuttgart, Germany
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
7721
Lastpage
7727
Abstract
This paper proposes a method to obtain stabilizing controllers for constrained linear systems with assigned sets of initial conditions. The controller synthesis method is based on invariant tubes and works for linear time-invariant systems and for linear systems with multiplicative uncertainties. Given a compact initial condition set, a sequence of sets and an associated sequence of control laws is computed such that the initial condition set is contained in the first set of the sequence and every state in any set of the sequence is controlled to the next set in the sequence while satisfying state and input constraints. Assumptions on the parameterizations of the sets and the control laws are given that guarantee recursive feasibility of the tube synthesis problem and convergence of the closed-loop trajectories. For a particular type of parameterization it is shown that these assumptions are satisfied. Numerical simulations are presented that illustrate the developed synthesis method.
Keywords
closed loop systems; constraint satisfaction problems; control system synthesis; convergence; invariance; linear systems; sequences; stability; uncertain systems; closed loop trajectory convergence; constrained linear systems; constrained stabilization; constraint satisfaction; control laws sequence; controller stabilization; controller synthesis method; invariant tubes; linear time-invariant systems; multiplicative uncertainty; numerical simulation; polytopic tubes; recursive feasibility; sets parameterization; sets sequence; state satisfaction; tube synthesis problem; Cost function; Electron tubes; Lyapunov methods; Robustness; Standards; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6761115
Filename
6761115
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