
This paper reviews the vast literature on static output feedback design for linear time-invariant systems including classical results and recent developments. In particular, we focus on static output feedback synthesis with performance specifications, structured static output feedback, and robustness. The paper provides a comprehensive review on existing design approaches including iterative linear matrix inequalities heuristics, linear matrix inequalities with rank constraints, methods with decoupled Lyapunov matrices, and non-Lyapunov-based approaches. We describe the main difficulties of dealing with static output feedback design and summarize the main features, advantages, and limitations of existing design methods. Keywords: Static output feedback (SOF), structured static output feedback , robustness, convex optimization, linear matrix inequality (LMI), bilinear matrix inequality (BMI), non-smooth non-convex optimization.
bilinear matrix inequality, convex optimization, SOF, Static output feedback, robustness, 620, 510, BMI, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, non-smooth non-convex optimization, LMI, [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering, linear matrix inequality, structured static output feedback
bilinear matrix inequality, convex optimization, SOF, Static output feedback, robustness, 620, 510, BMI, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, non-smooth non-convex optimization, LMI, [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering, linear matrix inequality, structured static output feedback
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