Title :
Robust passification via optimal sensor blending and control allocation
Author :
Joshi, S.M. ; Kelkar, A.G.
Author_Institution :
NASA Langley Res. Center, Hampton, VA, USA
Abstract :
Robust passification is considered for uncertain linear, time invariant systems having redundant actuators and sensors. The approach is to obtain optimal sensor blending and control allocation matrices that maximize the region in the parameter space in which the system remains passive. The approach results in a generalized eigenvalue problem consisting of a number of linear matrix inequalities (LMIs). Reduction of the number of LMIs is investigated, and a numerical example is given for demonstrating the approach
Keywords :
eigenvalues and eigenfunctions; linear systems; matrix algebra; parameter space methods; robust control; sensor fusion; uncertain systems; eigenvalues; linear matrix inequality; linear time invariant systems; optimal sensor blending; parameter space; redundant actuators; robust control; robust passification; sensor fusion; uncertain systems; Actuators; Control systems; Linear matrix inequalities; Mechanical sensors; Optimal control; Postal services; Robust control; Robustness; Sensor systems; Uncertainty;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.782784
