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摘要
En 中文
We develop nonsmooth optimization techniques to solve H-infinity synthesis problems under additional structural constraints on the controller. Our approach avoids the use of Lyapunov variables and therefore leads to moderate size optimization programs even for very large systems. The proposed framework is versatile and can accommodate a number of challenging design problems including static, fixed-order, fixed-structure, decentralized control, design of PID controllers and simultaneous design and stabilization problems. Our algorithmic strategy uses generalized gradients and bundling techniques suited for the H-infinity norm and other nonsmooth performance criteria. We compute descent directions by solving quadratic programs and generate steps via line search. Convergence to a critical point from an arbitrary starting point is proved and numerical tests are included to validate our methods. The proposed approach proves to be efficient even for systems with several hundreds of states.
Keyword:
bilinear matrix inequality (BMI)
bundle methods
Clarke subdifferential
fixed-order synthesis
H-infinity-synthesis
linear matrix inequality (LMI)
nonsmooth optimization
NP-hard problems
simultaneous stabilization
static output feedback
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期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
机构
暂无机构信息
引用论文
Low-order control design for LMI problems using alternating projection methods使用交替投影方法的LMI问题的低阶控制设计
AUTOMATICA
IF5.9

