In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only
Linear matrix inequalities in system and control theory
โ Scribed by Stephen Boyd, Laurent El Ghaoui, Eric Feron, Venkataramanan Balakrishnan
- Publisher
- Society for Industrial Mathematics
- Year
- 1997
- Tongue
- English
- Leaves
- 206
- Series
- Studies in Applied and Numerical Mathematics
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only
In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only
In this text, the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities.