Abstract
Adaptive control design is studied for a class of unknown systems with a nonlinear perturbed dead-zone input. The nonlinear dead-zone can be represented as a time-varying system with a disturbance-like term. An adaptive controller is first constructed using functions acting as the upper bounds of the nonlinear dynamics, which are not dependent on the dead-zone parameters. Time-varying delays are also dealt with while the construction of inverse dead-zone model is not required. Moreover, a neural controller is further proposed using a neural network with only a scalar weight parameter, such that the requirement on the bounds functions can be relaxed. The effectiveness of the developed approaches is illustrated by simulations.
Original language | English |
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Title of host publication | Proceedings of the 29th Chinese Control Conference |
Publication status | Published - 2010 |