DocumentCode :
1598919
Title :
Statistical and theoretical analysis of the soft-constrained time-optimal control of stable linear plants
Author :
Bikdash, M.U. ; Cliff, E.M. ; Nayfeh, A.H.
Author_Institution :
Virginia Polytech Inst. & State Univ., Blacksburg, VA, USA
fYear :
1992
Firstpage :
966
Abstract :
The soft-constrained time-optimal control (SCTO) of a general strictly stable linear system whose dominant pole has a distinct real part is considered. A detailed analytical study of the asymptotic saturation properties of the control amplitude and duration is presented. These properties are qualitatively different from those of a marginally stable linear system and can be deduced analytically from the eigenstructure of the plant. The analysis shows that, under some (reasonable) hypotheses, the control amplitude is bounded by an inequality constraint. Since the validity of the hypotheses cannot be rigorously shown, a statistical analysis is used to show that these hypotheses are statistically valid. Numerical and statistical results agree well with theoretical predictions
Keywords :
control system analysis; eigenvalues and eigenfunctions; linear systems; optimal control; stability; statistical analysis; asymptotic saturation properties; eigenstructure; general strictly stable linear system; soft-constrained time-optimal control; statistical analysis; theoretical analysis; Actuators; Control systems; Feedback control; Gain; Linear systems; Nonlinear control systems; Open loop systems; Regulators; Time varying systems; Vibration control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1992., First IEEE Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0047-5
Type :
conf
DOI :
10.1109/CCA.1992.269790
Filename :
269790
Link To Document :
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