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Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems

机译:约束非线性系统的显式模糊预测控制器设计

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This paper presents an explicit fuzzy predictive control method for a class of nonlinear systems with constrained inputs. The main idea is to construct a terminal invariant set and explicit predictive controller with affine input on the basis of T-S fuzzy model. This method need not compute the complex nonconvex nonlinear programming problem of earlier nonlinear predictive control methods and decreases the number of optimization variables and guarantees stability of the closed-loop system. The simulation results on a numerical example show the validity of the method presented in this paper.
机译:本文提出了一种针对输入受限的非线性系统的显式模糊预测控制方法。主要思想是在T-S模糊模型的基础上构造一个仿射输入的终端不变集和显式预测控制器。该方法不需要计算较早的非线性预测控制方法的复杂的非凸非线性规划问题,并且减少了优化变量的数量并保证了闭环系统的稳定性。数值例子的仿真结果表明了本文方法的有效性。

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