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Parallel robots have complicated structures as well as complex dynamic and kinematic equations, rendering model-based control approaches as ineffective due to their high computational cost and low accuracy. Here, we propose a model-free dynamic-growing control architecture for parallel robots that combines the merits of self-organizing systems with those of interval type-2 fuzzy neural systems. The...
To date, various paradigms of soft-Computing have been used to solve many modern problems. Among them, a self organizing combination of fuzzy systems and neural networks can make a powerful decision making system. Here, a 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...
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 generally lack the desired performance for controlling such a fast machine. Here, a new adaptive intelligent controller is proposed for 3PSP parallel robots based on an auto-structuring...
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