An optimization approach to the problem of nonlinear diagnostic filter design

The problem of diagnostic filter design is considered for nonlinear dynamic systems. An optimization approach is proposed for this problem solution. Its feature is a combination of unified algebraic - geometric tools involved for nonlinear model transformation with linear optimization techniques. An advantage of the proposed approach is it allows overcoming a principle restriction of existing designing methods and extending the solution to a case of nonlinear system models with uncertainties.