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In this paper, we address a sparse signal reconstruction problem of nonlinear dynamic system in Wireless sensor networks (WSNs). A distributed reconstruction algorithm of sparse nonlinear signal is proposed based on sigma-point filter and consensus filter with embedded pseudo-measurement (PM) technology. For numerical accuracy, its square-root version is further developed. By embedding the PM equation,...
A precise submersing navigation position is always the target pursued by underwater technology. The conventional dead reckoning (DR) algorithm normally uses Kalman filter to estimate positional errors. In the present study, soft computing-based models, such as Artificial Neural Network (ANN), have been used to compensate the reckoning error. The problem with ANN is the inevitable local extremum phenomenon...
This paper studies the problem of stabilizing continuous-time linear systems with quantized state-feedback control via communication networks. The case with or without disturbance is discussed. It is derived that based on the policy, the dynamic state-feedback controller can stabilize the unstable plant. Simulation results show the validity of the proposed quantization policy.
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