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The parametric non-strict-feedback and unmatched uncertainty of surface ship straight-line tracking control was considered. With the help of Lyapunov stability theory, considering the characteristics of the rudder system, a novel adaptive stepping algorithm is proposed, which could guarantee the closed-loop system to be uniformly ultimately bounded. The result of simulations present the validity and...
Aiming at the uncertain nonlinear system with a dead zone input, a design method of adaptive neuro sliding mode control is presented to combine neural network theory with sliding mode control theory. RBF neural networks are used to realize modeling of nondeterministic system. Adaptive laws are derived based on Lyapunov stability theory which guarantees the stability of control system. Theoretical...
This paper addresses the issue of trajectory tracking control based on a neural network controller for industrial manipulators. A new control scheme is proposed based on neural network technology and linear feedback approach for tracking a planned trajectory. The control system is established with two parallel subsystems designed separately. One is a linear controller based on state feedback with...
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