Title :
Observer-based output feedback control of discrete-time Lur´e systems with sector-bounded slope-restricted nonlinearities
Author :
Kim, K.K.K. ; Braatz, R.D.
Author_Institution :
Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fDate :
June 29 2011-July 1 2011
Abstract :
Many well studied classes of dynamical systems such as actuator-constrained linear systems and dynamic artificial neural networks can be written as discrete-time Lur´e systems with sector- bounded and/or slope-restricted nonlinearities. Two types of observer- based output feedback control design methods are presented and analyzed with regard to robustness to model uncertainties and insensitivity to output disturbances. The controller designs are formulated in terms of linear matrix inequalities (LMIs) that are solvable with standard software. The design equations are illustrated in numerical examples.
Keywords :
control nonlinearities; control system analysis; control system synthesis; discrete time systems; feedback; linear matrix inequalities; linear systems; neurocontrollers; nonlinear dynamical systems; observers; robust control; uncertain systems; actuator constrained linear systems; discrete time Lur´e systems; dynamic artificial neural networks; linear matrix inequalities; model uncertainties; nonlinear dynamical system analysis; observer; output feedback control; robustness; sector bounded nonlinearities; slope restricted nonlinearities; Estimation error; Observers; Output feedback; Robustness; State feedback; Trajectory; Uncertainty;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5990631