Observer Design for Control and Fault Diagnosis of Boolean Networks

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Focusing on the application of Boolean control networks (BCNs) in biological systems, this thesis presents methods for reconstructibility analysis essential for state observers in control theory. It details a two-step design process for Luenberger-like observers that provide accurate state estimates when a BCN is reconstructible. The research further extends to unknown input observers, distributed observers, and reduced-order observers, thoroughly evaluating their performance. Additionally, it includes methods for output tracking control and fault diagnosis, validated through numerical examples.