This paper investigates the adaptive neural network (NN) tracking control problem for stochastic nonlinear systems with multiple actuator constraints and full-state constraints. The issue of system full-state constraints is tackled by a generalized barrier Lyapunov function (GBLF). and the output constraints of the system are considered to be in the form of time-varying functions. whi... https://www.chiggate.com/color-charm-050-cooling-violet-supply/
Adaptive RBF Neural Network Tracking Control of Stochastic Nonlinear Systems with Actuators and State Constraints
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