DocumentCode :
728452
Title :
Computational methods for MIMO flat linear systems: Flat output characterization, test and tracking control
Author :
Sze Zheng Yong ; Paden, Brian ; Frazzoli, Emilio
Author_Institution :
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
3898
Lastpage :
3904
Abstract :
This paper is concerned with the study of flat outputs for multiple-input-multiple-output (MIMO) controllable linear time-invariant discrete- and continuous-time systems in state-space representation. Leveraging the equivalence of flatness to an estimation-theoretic system property known as strong observability, a quick computational test is developed for ascertaining if an output candidate is flat and the subspace of flat outputs can be constructively characterized. Moreover, we propose a computational method to find differentially (continuous-time), as well as non-causal and causal difference (discrete-time) flat outputs via a system transformation into a special control canonical form. Finally, design principles for flatness-based trajectory planning and tracking control for discrete-time systems are presented, which to our best knowledge, have yet to be successfully demonstrated.
Keywords :
MIMO systems; continuous time systems; control system synthesis; controllability; discrete time systems; linear systems; observability; state-space methods; trajectory control; MIMO flat linear systems; causal difference; computational methods; estimation-theoretic system property; flat output characterization; flatness-based tracking control; flatness-based trajectory planning; multiple-input-multiple-output controllable continuous-time systems; multiple-input-multiple-output controllable linear time-invariant discrete-continuous-time systems; observability; state-space representation; system transformation; Discrete-time systems; Linear systems; MIMO; Observability; Planning; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7171938
Filename :
7171938
Link To Document :
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