Linear controller design: limits of performance
Linear controller design: limits of performance
Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
SIAM Journal on Optimization
Spectral bundle methods for non-convex maximum eigenvalue functions: first-order methods
Mathematical Programming: Series A and B
Spectral bundle methods for non-convex maximum eigenvalue functions: second-order methods
Mathematical Programming: Series A and B
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We develop nonsmooth optimization techniques to solve H∞ 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 very 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∞-norm and other nonsmooth performance criteria. Convergence to a critical point from an arbitrary starting point is proved (full version) and numerical tests are included to validate our methods.