ABSTRACT
The basic idea for control of dynamic networks is to consider complex systems as structural interconnections of subsystems with specific properties, and solve their control problems using the subsystem and structural features. Such ideas can be traced back to the original development of circuit theory. The rapid development of computing, communication, and sensing technology has enabled new potential applications of advanced control to complex systems. Significant problems are to integrally deal with the fundamental system characteristics, such as nonlinearity, dimensionality, uncertainty and information constraints, and diverse kinds of networked behaviors like quantization, data sampling, and impulsive events. With the development of new tools, this book studies the analysis and control problems of complex systems from the viewpoint of dynamic networks.
