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

VL - 139

SP - 72

EP - 78

JO - IEE Proceedings D: Control Theory and Applications

JF - IEE Proceedings D: Control Theory and Applications

SN - 0143-7054

IS - 1

ER -