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RISDynamic-Growing Fuzzy-Neural Controller, as Control System of Special 3PSP Parallel Robot
Due to the complexity of its dynamic equations, parallel robot control has become an active research area in recent years. In this application domain, model-based approaches are often time-consuming, and model-free controllers ...
Adaptive Neural Tracking Control of Switched Stochastic Pure-feedback Nonlinear Systems with Unknown Bouc-Wen Hysteresis Input
This paper aims to analyze the problem of adaptive neural network (NN) tracking control for a class of switched stochastic nonlinear pure-feedback systems with unknown direction hysteresis. In the light of recent studies ...
Observer-based adaptive neural control for switched stochastic pure-feedback systems with input saturation
The purpose of this paper is to investigate the problem of
adaptive neural network (NN) output-feedback tracking control for input
saturated switched stochastic nonlinear systems in pure-feedback form
with unmeasured ...
A compressed sensing approach to low-radiation CT reconstruction
A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot
Dynamic
Growing Fuzzy Neural Controller (DGFNC) is combined with an
adaptive strategy and applied to a 3PSP parallel robot position
control problem. Specifically, the dynamic growing mechanism is
considered in more detail...