Robust Multivariable Control System Design using Optimal Reduced Order Plant Models
Robust Multivariable Control System Design using Optimal Reduced Order Plant Models
复制标题
使用最佳降阶对象模型的鲁棒多变量控制系统设计
DOI：
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发表时间：
1983
期刊：
影响因子：
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通讯作者：
D. Limebeer
中科院分区：
文献类型：
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作者：
K. Glover;D. Limebeer
描述了基于降阶对象模型的线性多变量连续时间系统预补偿器的设计过程。通过最优Hankel-norn逼近方法得到降阶模型，其逼近误差可以准确预测。然后可以从该近似误差和鲁棒稳定性结果推导出全阶设备和补偿器的闭环稳定性。
A procedure for the design of preccapensators for linear multivariable continuous-time systems based on reduced-order plant models is described. The reducedorder model is obtained via an optimal Hankel-norn approximation method, whose approximation error can be accurately predicted. The closed-loop stability of the full-order plant and compensator can then be deduced from this approximation error and a robust stability result.