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• [P579] A Robust SDP Approach to System Identi?cation with Roughly Quantized Data
  Author(s): Katsumi Konishi
  
  

  Abstract
  This paper proposes an identification method for linear systems with roughly quantized outputs. Measurement data sampled from low resolution sensors have large quantization errors, which deteriorate the identification accuracy. The identification problem is formulated into quadratic programming with uncertainty, and a proposed method provides an approximate optimal solution via semidefinite programming. Numerical examples demonstrate that we can estimate plant both parameters and true output in practical time and show the effectiveness of the proposed method.

  
   

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