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Recent Advances In Control And Filtering Of Dynamic Systems With Constrained Signals
This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention.
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Springer Nature Switzerland AG