document: Approach to adaptive neural net-based H/sub infinity / control design An approach is investigated for the adaptive neural net-based H/sub infinity / control design of a class of nonlinear uncertain systems . In the proposed framework , two multilayer feedforward neural networks are constructed as an alternative to approximate the nonlinear system . The neural networks are piecewisely interpolated to generate a linear differential inclusion model by which a linear state feedback H/sub infinity / control law can be applied . An adaptive weight adjustment mechanism for the multilayer feedforward neural networks is developed to ensure H/sub infinity / regulation performance . It is shown that finding the control gain matrices can be transformed into a standard linear matrix inequality problem and solved via a developed recurrent neural network
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