摘要：The paper proposed a new fuzzy-neural recurrent multi-model for systems identification and states estimation of complex nonlinear mechanical plants with backlash. The parameters and states of the local recurrent neural network models are used for a local direct and indirect adaptive control systems design. The de-signed local control laws are coordinated by a fuzzy rule based control system. Simulation results confirm the applicability of the proposed intelligent control system, where a good convergence of all recurrent neural networks, is obtained.
关键词：Recurrent neural networks; back propagation learning; fuzzy-neural multi-model; ;systems identification; adaptive control; mechanical system with backlash.
