A Recurrent Neural Multi-Model for Mechanical Systems Dynamics Compensation
نویسندگان
چکیده
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 designed 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.
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