DocumentCode :
728371
Title :
Command following using an input reconstruction approach
Author :
Chavan, Roshan A. ; Rajiv, Abhijith ; Palanthandalam-Madapusi, Harish J.
Author_Institution :
SysIDEA Lab., Indian Inst. of Technol. Gandhinagar, Gandhinagar, India
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
3175
Lastpage :
3180
Abstract :
The idea we explore in this paper is whether we can use input reconstruction methods for control problems. In input reconstruction problems, the outputs of a dynamical system are known, and the objective is to reconstruct the inputs to the system that caused the measured outputs. Command following problems can be viewed from a similar perspective. The desired outputs of the system are known and the control inputs that would yield those desired outputs have to be determined. In that sense, by implicitly assuming that a control input exists such that the output of the system will be equal to the desired output, one can use input reconstruction to determine the corresponding control inputs by pretending that the the desired outputs are the actual outputs of the system. With this end in view we explore a few control schemes based on the filter-based approach to input reconstruction and demonstrate the efficacy of these methods with illustrative numerical examples.
Keywords :
filtering theory; nonlinear dynamical systems; command following problem; control input; control problem; dynamical system; filter-based approach; input reconstruction approach; input reconstruction method; Context; Kalman filters; MIMO; Noise; Nonlinear systems; Reconstruction algorithms; State estimation;
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.2015.7171821
Filename :
7171821
Link To Document :
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