This dissertation presents novel methods for centralized and distributed state estimation of linear and nonlinear networked control systems. The effects induced by the packet-based data transmission between the individual elements of the control loop are explicitly considered. The problem of reconstructing the full state is formulated as suitable optimization problems. Their solvability is analyzed within the observability framework which forms the foundation for the stability analysis. The simulation and experimental test-rig results demonstrate the performance of the developed methods.
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