Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an adaptive neural network (NN) sliding mode control (NNSMC) for the motion and force control of constrained robot manipulators. Radial basis function (RBF) NNs are used as estimators to approximate the uncertainties in the problem formulation. Adaptive learning algorithms in NNSMC are derived from the Lyapunov stability analysis, so that the stability of the proposed control scheme is proved. Simulations are performed to demonstrate the effectiveness of the proposed controller.
['Emna Zouari', 'Hanène Medhaffar', 'Nabil Derbel']
I am writing a research paper on a idea Indirect sliding mode neural-network control for holonomic constrained robot manipulators
[{"from": "human", "value": "I am writing a research paper on a idea Indirect sliding mode neural-network control for holonomic constrained robot manipulators"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an adaptive neural network (NN) sliding mode control (NNSMC) for the motion and force control of constrained robot manipulators. Radial basis function (RBF) NNs are used as estimators to approximate the uncertainties in the problem formulation. Adaptive learning algorithms in NNSMC are derived from the Lyapunov stability analysis, so that the stability of the proposed control scheme is proved. Simulations are performed to demonstrate the effectiveness of the proposed controller."}]