精品文档---下载后可任意编辑一类非线性不确定系统的模糊自适应控制的开题报告摘要：非线性不确定系统的控制一直是智能控制讨论的热点之一。模糊自适应控制是一种应用模糊逻辑和自适应控制相结合的控制方法，具有适应性强、鲁棒性好、样本需要量低等优点，可以很好地应用于非线性不确定系统的控制。本文针对一类非线性不确定系统进行讨论，提出了一种基于模糊自适应控制的控制方案，包括模糊控制器和自适应控制器两部分。模糊控制器将输入输出关系建模为一组模糊规则，自适应控制器则通过最小二乘法对系统参数进行辨识，并更新控制器的参数。仿真结果表明，所提出的控制方案能够有效地控制系统，并具有良好的控制性能。关键词：非线性不确定系统；模糊自适应控制；模糊控制器；自适应控制器；最小二乘法Abstract：Control of nonlinear uncertain systems has always been a hotspot in intelligent control research. Fuzzy adaptive control is a control method that combines fuzzy logic and adaptive control. It has strong adaptability, good robustness, and low sample requirements. It can be well applied to the control of nonlinear uncertain systems. This paper focuses on a class of nonlinear uncertain systems and proposes a control scheme based on fuzzy adaptive control, including a fuzzy controller and an adaptive controller. The fuzzy controller models the input-output relationship as a set of fuzzy rules, and the adaptive controller identifies the system parameters through least squares method and updates the parameters of the controller. Simulation results show that the proposed control scheme can effectively control the system and has a good control performance.Keywords:Nonlinear uncertain system; fuzzy adaptive control; fuzzy controller; adaptive controller; least squares method
