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一类非线性系统的自适应模糊控制 被引量:1

Adaptive Fuzzy Control for a Class of Nonlinear Systems
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摘要 针对一类具有未知常数控制增益的非线性系统 ,基于滑模控制原理并利用 I型模糊系统的逼近能力 ,提出了一种自适应模糊控制器设计的新方案。该方案通过引入最优逼近误差自适应补偿项来消除建模误差的影响 ,从而在稳定性分析中取消了要求逼近误差平方可积或逼近误差的上确界已知的条件。通过理论分析 ,证明了闭环控制系统是全局稳定的 ,跟踪误差收敛到零。仿真结果表明了该方法的有效性。 A new scheme of an adaptive fuzzy controller for a class of nonlinear systems with unknown constant control gain is proposed. The design is based on the principle of sliding mode control and the approximation capability of the first type fuzzy systems. The adaptive compensation term for the optimal approximation error is adopted in the scheme. The approach does not require the optimal approximation error being square-integrable or the supremum of the optimal approximation error being known. By th-eoretical analysis, a closed-loop control system is shown to be globally stable, with tracking error converging to zero. Simulational results demonstrate the effectiveness of the approach.
机构地区 扬州大学工学院
出处 《南京航空航天大学学报》 EI CAS CSCD 北大核心 2001年第4期321-328,共8页 Journal of Nanjing University of Aeronautics & Astronautics
基金 国家自然科学基金 (编号 :60 0 74 0 1 3) 江苏省教育厅高校科研基金 (编号 :0 0 KJB5 1 0 0 0 6) 扬州大学科研基金资助项目
关键词 非线性系统 模糊控制 自适应控制 全局稳定性 nonlinear systems fuzzy control adaptive control global stability
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