ROBUST SLIDING MODE DECENTRALIZED CONTROL FOR A CLASS OF NONLINEAR INTERCONNECTED LARGE-SCALE SYSTEM WITH NEURAL NETWORKS |
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作者姓名: | CHENMou JIANGChang-sheng CHENWen-hua |
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作者单位: | [1]CollegeofAutomationEngineering,NUAA29YudaoStreet,Nanjing,210016,P.R.China [2]DepartmentofAeronauticalandAutomotiveEngineering,LoughboroughUniversity,Loughborough,LeicestershireLE113TU,UK |
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摘 要: | A new decentralized robust control method is discussed for a class of nonlinear interconnected largescale system with unknown bounded disturbance and unknown nonlinear function term. A decentralized control law is proposed which combines the approximation method of neural network with sliding mode control. The decentralized controller consists of an equivalent controller and an adaptive sliding mode controller. The sliding mode controller is a robust controller used to reduce the track error of the control system. The neural networks are used to approximate the unknown nonlinear functions, meanwhile the approximation errors of the neural networks are applied to the weight value updated law to improve performance of the system. Finally, an example demonstrates the availability of the decentralized control method.
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关 键 词: | 滑动控制模式 非线性大尺度系统 数值网络 分散控制 非线性 |
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