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首页> 外文期刊>Abstract and applied analysis >Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation
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Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation

机译：一类基于模糊逼近的纯反馈随机非线性系统的直接自适应跟踪控制

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摘要

The problem of fuzzy-based direct adaptive tracking control is considered for a class of pure-feedback stochastic nonlinear systems. During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique. It is shown that the proposed controller guarantees that all the signals in the closed-loop system are bounded in probability and the tracking error eventually converges to a small neighborhood around the origin in the sense of mean quartic value. The main advantages lie in that the proposed controller structure is simpler and only one adaptive parameter needs to be updated online. Simulation results are used to illustrate the effectiveness of the proposed approach.
机译：针对一类纯反馈随机非线性系统，考虑了基于模糊的直接自适应跟踪控制问题。在控制器设计过程中，采用模糊逻辑系统对封装后的未知非线性进行近似，然后通过反推技术构造出新型的直接自适应控制器。结果表明，所提出的控制器保证了闭环系统中的所有信号都以概率为界，并且跟踪误差最终在平均四次值的意义上收敛于原点周围的一个小邻域。主要优点在于，所提出的控制器结构更简单，并且仅一个自适应参数需要在线更新。仿真结果说明了该方法的有效性。

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