2010 Chinese Control and Decision Conference 2010
DOI: 10.1109/ccdc.2010.5498552
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Liner quadratic optimal control in active control of structural vibration systems

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Cited by 7 publications
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“…Among optimal control strategies, the linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG) techniques are the most frequently discussed ones. The latest approaches include LQR controllers that use genetic algorithms for an optimization of the weighting matrix (Jiang et al, 2010). Other types of state space controllers have been employed, such as the delayed state feedback controller (Wang and Hu, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Among optimal control strategies, the linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG) techniques are the most frequently discussed ones. The latest approaches include LQR controllers that use genetic algorithms for an optimization of the weighting matrix (Jiang et al, 2010). Other types of state space controllers have been employed, such as the delayed state feedback controller (Wang and Hu, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Engineers and researchers have successfully integrated all these methodologies into the control systems employed in civil structures (Soong, 1988). The linear quadratic regulator (LQR) controller has been extensively used by many researchers such as Chang and Soong (1980), Guclu and Yazici (2008), Jiang et al (2010), and Kim et al (2013). A Linear Quadratic Gaussian (H 2 /LQG) controller has been implemented to a structure equipped with active devices (Asai, 2014; Bitaraf, 2011; Dyke and Spencer, 1996; Ohtori et al, 2004).…”
Section: Introductionmentioning
confidence: 99%