"Control of Complex Systems: Structural Constraints and
Uncertainty" focuses on control design under information structure
constraints, with a particular emphasis on large-scale systems. The
complexity of such systems poses serious computational challenges
and severely restricts the types of feedback laws that can be used
in practice. This book systematically addresses the main issues,
and provides a number of applications that illustrate potential
design methods, most which use Linear Matrix Inequalities (LMIs),
which have become a popular design tool over the past two decades.
Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their
years of experience in the control field to also:
- Address the issues of large-scale systems as they relate to
robust control and linear matrix inequalities
- Discuss a new approach to applying standard LMI techniques to
large-scale systems, combining graphic-theoretic decomposition
techniques with appropriate low-rank numerical approximations and
dramatically reducing the computational effort
- Providing numerous examples and a wide variety of applications,
ranging from electric power systems and nonlinear circuits to
mechanical problems and dynamic Boolean networks
"Control of Complex Systems: Structural Constraints and
Uncertainty" will appeal to practicing engineers, researchers and
students working in control design and other related areas.
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