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APPC of Strict-Feedback Systems With Non-linear Dead-Zone 173
Figure 10.6 Adaptive NN parameters.
ing the transformed system. Novel high-order neural networks (HONNs)
with a scalar weight parameter are developed and incorporated into the
controller to reduce the computational costs. It is shown in simulations that
the effects of unknown system dynamics and dead-zone input can be com-
pensated, and the introduced PPF design enhances both the transient and
steady-state performance.
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