Sentence examples for system to approximate from inspiring English sources

We propose a fuzzy stochastic partial differential system to approximate the NSPDSs based on fuzzy interpolation approach.

The proposed approach uses a fuzzy system to approximate the unknown substrate consumption rate in designing the adaptive controller, and then an observer is designed to estimate the concentration in substrate at the outlet bioreactor.

The proposed approach employs a fuzzy system to approximate the unknown nonlinear functions in designing the adaptive controller and an observer is designed to generate an error signal for the adaptive law.

By employing T-S fuzzy system to approximate nonlinear uncertainties of the control system, the proposed scheme is developed by combining "dynamic surface control" (DSC) and "minimal learning parameter" (MLP) techniques.

This approach can also be applied to an SC-FDMA system to approximate the waterfilling solution since DFT precoding and decoding are information lossless according to our discussion in Section 2. Note that DFT precoding does not change the equal power allocation property of the transmitted signal according to Fact 2 (see Appendix ), that is,.

System (3.1) is a classic nonlinear model and the nonlinear model is more troublesome dealing with many problems, so we use the linear system to approximate the nonlinear system according to the characteristics of T-S fuzzy control, so that the problem of the nonlinear system is transformed into the problem of a linear system.

We use a sequence of periodically forced systems to approximate the considered system, and find their periodic solutions.

Using fuzzy logic systems to approximate unknown nonlinear functions, a fuzzy state observer is designed for estimating the unmeasured states.

With the time-delay functions unavailable, we employ adaptive RBF neural network systems to approximate unknown functions.

To study the existence of homoclinic solutions to Equation (4), we still use a sequence of periodic forced systems to approximate Equation (4), and find their periodic solutions.

Using fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is designed for state estimation as well as system identification.