Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model
Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model
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DOI：
10.1109/91.928735
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发表时间：
2001-06-01
影响因子：
11.9
通讯作者：
Uang, HJ
中科院分区：
文献类型：
--
作者：
Tseng, CS;Chen, BS;Uang, HJ
本研究介绍了一种非线性系统的模糊控制设计方法，具有保证H-无穷大模型参考跟踪性能。首先，采用Takagi and Sugeno (TS)模糊模型来表示非线性系统。接下来，基于模糊模型，开发了基于模糊观测器的模糊控制器，以将所有有界参考输入的跟踪误差减小到尽可能小。所提出的跟踪控制设计的优点在于，我们的方法中仅使用简单的模糊控制器，没有反馈线性化技术和复杂的自适应方案。通过所提出的方法，模糊跟踪控制设计问题根据线性矩阵不等式问题（LMIP）进行参数化。使用凸优化技术可以非常有效地求解 LMIP。给出了仿真例子来说明该方法的设计过程和跟踪性能。
This study introduces a fuzzy control design method for nonlinear systems with a guaranteed H-infinity model reference tracking performance. First, the Takagi and Sugeno (TS) fuzzy model is employed to represent a nonlinear system. Next, based on the fuzzy model, a fuzzy observer-based fuzzy controller is developed to reduce the tracking error as small as possible for all bounded reference inputs. The advantage of proposed tracking control design is that only a simple fuzzy controller is used in our approach without feedback linearization technique and complicated adaptive scheme. By the proposed method, the fuzzy tracking control design problem is parameterized in terms of a linear matrix inequality problem (LMIP). The LMIP can be solved very efficiently using the convex optimization techniques. Simulation example is given to illustrate the design procedures and tracking performance of the proposed method.