A Novel Taylor Series Based Approach for Control Computation in NN-ANARX Structure Based Control of Nonlinear Systems

摘要

This paper presents an alternative approach for control computation in a closed loop of discrete-time nonlinear system and NN-ANARX based dynamic output feedback. Proposed technique is based on an application of Taylor series expansion for computation of control directly from neural network based model. Two modifications of the algorithm are proposed for both single-input single-output and multi-input multi-output nonlinear systems. The effectiveness of the proposed approach is demonstrated on numerical examples.