Intelligent digital redesign of fuzzy observer/controller: estimated premise variable case

An intelligent digital redesign (IDR) technique for the Takagi-Sugeno fuzzy observer-based output-feedback (FOBOFC) control system with estimated premise variables is developed. The IDR condition is parameterized as a numerical minimization problem of the norm distances between linear operators to be matched. The exponential stabilizability by the redesigned digital FOBOFC is proved. This method can be used as an efficient design tool for a reliable nonlinear sampled-data output-feedback control.