TY - JOUR
T1 - Stabilising controller and observer synthesis for uncertain large-scale systems by the Riccati equation approach
AU - Wang, Wen June
AU - Cheng, Chen Fa
PY - 1992
Y1 - 1992
N2 - The paper introduces a Riccati equation approach to synthesise of the full state observers and state feedback controllers for uncertain large-scale systems. In this approach, if two given algebraic Riccati equations are solved, their solutions can be applied to synthesise the stabilising state feedback and observer gain matrices. The uncertainties considered in each subsystem may be time-varying and appear in the system matrices (matrix At), input connection matrices (matrix Bi), or/and output matrices (matrix Ci). However the values of those uncertainties are constrained to lie within some known admissable bounds. Furthermore, the so-called matching conditions are not needed in the paper.
AB - The paper introduces a Riccati equation approach to synthesise of the full state observers and state feedback controllers for uncertain large-scale systems. In this approach, if two given algebraic Riccati equations are solved, their solutions can be applied to synthesise the stabilising state feedback and observer gain matrices. The uncertainties considered in each subsystem may be time-varying and appear in the system matrices (matrix At), input connection matrices (matrix Bi), or/and output matrices (matrix Ci). However the values of those uncertainties are constrained to lie within some known admissable bounds. Furthermore, the so-called matching conditions are not needed in the paper.
UR - http://www.scopus.com/inward/record.url?scp=0026630839&partnerID=8YFLogxK
U2 - 10.1049/ip-d.1992.0011
DO - 10.1049/ip-d.1992.0011
M3 - 期刊論文
AN - SCOPUS:0026630839
SN - 0143-7054
VL - 139
SP - 72
EP - 78
JO - IEE Proceedings D: Control Theory and Applications
JF - IEE Proceedings D: Control Theory and Applications
IS - 1
ER -