TY - GEN
T1 - Generalized H∞ performance and mixed H2/H ∞ optimization for time delay systems
AU - Guo, Lei O.
AU - Zhang, Yumin
AU - Feng, Chun Bo
PY - 2004
Y1 - 2004
N2 - In this paper, a multi-objective optimization problem is investigated for a class of nonlinear continuous-time systems with time-varying delays. The controlled plant is supposed to have nonlinear dynamics and time delays which exist simultaneously in the state, the input and the measured output. To present the compatible mixed H2/H∞ control problem, the generalized H∞, performance index is firstly introduced for the nonlinear delay systems instead of the standard H∞ performance one. As such, the novel mixed H2/H∞ optimization problem can be formulated and the solvability conditions can be provided via convex computation approaches. After some algebraic transformations and decompositions, the involved nonlinear constraints can be eliminated and LMI-based convex algorithms can be given for the both state feedback and the output feedback design. These results can cover many previous works on the pure guaranteed cost control and the standard H∞, control, and can be generalized to other multiple objective optimization problems with quadratic performance indexes.
AB - In this paper, a multi-objective optimization problem is investigated for a class of nonlinear continuous-time systems with time-varying delays. The controlled plant is supposed to have nonlinear dynamics and time delays which exist simultaneously in the state, the input and the measured output. To present the compatible mixed H2/H∞ control problem, the generalized H∞, performance index is firstly introduced for the nonlinear delay systems instead of the standard H∞ performance one. As such, the novel mixed H2/H∞ optimization problem can be formulated and the solvability conditions can be provided via convex computation approaches. After some algebraic transformations and decompositions, the involved nonlinear constraints can be eliminated and LMI-based convex algorithms can be given for the both state feedback and the output feedback design. These results can cover many previous works on the pure guaranteed cost control and the standard H∞, control, and can be generalized to other multiple objective optimization problems with quadratic performance indexes.
UR - https://www.scopus.com/pages/publications/21244444247
M3 - 会议稿件
AN - SCOPUS:21244444247
SN - 0780386531
T3 - 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
SP - 36
EP - 41
BT - 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
T2 - 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Y2 - 6 December 2004 through 9 December 2004
ER -