TY - JOUR
T1 - Control for a class of second-order systems via a state-dependent riccati equation approach
AU - Lin, Li Gang
AU - Liang, Yew Wen
AU - Cheng, Li Jen
N1 - Publisher Copyright:
© 2018 Society for Industrial and Applied Mathematics.
PY - 2018
Y1 - 2018
N2 - This study investigates the state-dependent Riccati equation (SDRE) controller for a class of second-order nonlinear systems. By fully exploiting the design degree of freedom (DOF) arising from the nonunique state-dependent coefficient (SDC) matrices, we explicitly calculate the ranges of control input via the SDRE scheme. Moreover, when a permissible control input is determined, we also explicitly parameterize the SDC matrices that result in the designated control value, in terms of system States and parameters, so the engineer can easily implement the scheme. Notably, this is the first analytical result that explores the range of control input using the design DOF of SDC matrices. In addition, by applying the analytical results, it is shown that the second-order systems are always globally stabilizable, without any supplementary assumptions on weighting matrices (as extended from existing SDRE global results), and the corresponding stabilizing SDC matrices are also explicitly presented. Finally, illustrative examples clearly demonstrate the benefits of the analytical results.
AB - This study investigates the state-dependent Riccati equation (SDRE) controller for a class of second-order nonlinear systems. By fully exploiting the design degree of freedom (DOF) arising from the nonunique state-dependent coefficient (SDC) matrices, we explicitly calculate the ranges of control input via the SDRE scheme. Moreover, when a permissible control input is determined, we also explicitly parameterize the SDC matrices that result in the designated control value, in terms of system States and parameters, so the engineer can easily implement the scheme. Notably, this is the first analytical result that explores the range of control input using the design DOF of SDC matrices. In addition, by applying the analytical results, it is shown that the second-order systems are always globally stabilizable, without any supplementary assumptions on weighting matrices (as extended from existing SDRE global results), and the corresponding stabilizing SDC matrices are also explicitly presented. Finally, illustrative examples clearly demonstrate the benefits of the analytical results.
KW - Globally asymptotic stability
KW - Nonlinear control system
KW - State-dependent coefficient matrix
KW - State-dependent riccati equation
UR - http://www.scopus.com/inward/record.url?scp=85043538279&partnerID=8YFLogxK
U2 - 10.1137/16M1073820
DO - 10.1137/16M1073820
M3 - 期刊論文
AN - SCOPUS:85043538279
SN - 0363-0129
VL - 56
SP - 1
EP - 18
JO - SIAM Journal on Control and Optimization
JF - SIAM Journal on Control and Optimization
IS - 1
ER -