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This article discusses the adaptive neural tracking control issue for a flexible manipulator system with time‐varying full‐state constraints. First, the flexible manipulator system is modeled using partial differential equations with boundary conditions. Second, neural network techniques are used to deal with unknown nonlinear functions. Based on the backstepping technique, an adaptive neural boundary...
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