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Integrated circuits --- Very large scale integration --- Very large scale integration of circuits --- VLSI circuits --- Very large scale integration. --- vlsi geïntegreerde schakelingen --- vlsi geïntegreerde schakelingen. --- Vlsi geïntegreerde schakelingen. --- Integrated circuits - Very large scale integration

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Thin film devices. --- Silicon nitride. --- Integrated circuits --- Metal oxide semiconductors, Complementary. --- Very large scale integration --- Materials. --- Thin film devices --- Silicon nitride --- Metal oxide semiconductors, Complementary --- CMOS (Electronics) --- Complementary metal oxide semiconductors --- Semiconductors, Complementary metal oxide --- Digital electronics --- Logic circuits --- Transistor-transistor logic circuits --- Chips (Electronics) --- Circuits, Integrated --- Computer chips --- Microchips --- Electronic circuits --- Microelectronics --- Nierite --- Nitrides --- Silicon compounds --- Devices, Thin film --- Electronic apparatus and appliances --- Thin films --- -Materials. --- Very large scale integration&delete& --- Materials --- Integrated circuits - Very large scale integration - Materials.

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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. 

Engineering. --- Control, Robotics, Mechatronics. --- Vibration, Dynamical Systems, Control. --- Systems Theory, Control. --- Systems theory. --- Vibration. --- Ingénierie --- Vibration --- Control theory --- Large scale systems