Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an adaptive robust fuzzy control architecture for robot manipulators motion. The control objective is to adaptively compensate for the unknown nonlinearity of robot manipulators, which is represented as a fuzzy rule-base consisting of a collection of if-then rules. The algorithm embedded in the proposed architecture can automatically update fuzzy rules and, consequently, it is guaranteed to be globally stable and to drive the tracking errors to a neighborhood of zero. Focused on realization, hardware limitations such as traditional long computation line and excessive memory-space usage are also related by incorporating heuristic concepts, which reveals the flexible feature of this architecture. The present work is applied to the control of a five degree-of-freedom (DOF) articulated robot manipulator. Simulation results show that the proposed control architecture is featured in fast convergence. >
['Feng-Yih Hsu', 'Li-Chen Fu']
I am writing a research paper on a idea Adaptive robust fuzzy control for robot manipulators
[{"from": "human", "value": "I am writing a research paper on a idea Adaptive robust fuzzy control for 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 robust fuzzy control architecture for robot manipulators motion. The control objective is to adaptively compensate for the unknown nonlinearity of robot manipulators, which is represented as a fuzzy rule-base consisting of a collection of if-then rules. The algorithm embedded in the proposed architecture can automatically update fuzzy rules and, consequently, it is guaranteed to be globally stable and to drive the tracking errors to a neighborhood of zero. Focused on realization, hardware limitations such as traditional long computation line and excessive memory-space usage are also related by incorporating heuristic concepts, which reveals the flexible feature of this architecture. The present work is applied to the control of a five degree-of-freedom (DOF) articulated robot manipulator. Simulation results show that the proposed control architecture is featured in fast convergence. >"}]