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首页> 外文会议>2011 30th Chinese Control Conference >Adaptive control of discrete-time state-space T-S fuzzy systems
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Adaptive control of discrete-time state-space T-S fuzzy systems

机译：离散时间状态空间TS模糊系统的自适应控制

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This paper develops a new solution framework for adaptive control of general discrete-time state-space T-S fuzzy systems with a relative degree ρ (1 ≤ ρ ≤ n). A new procedure is proposed to construct a global T-S fuzzy system model from local state-space models in non-canonical form, which has an explicit relative degree structure and a specific input-output signal causality relationship in the sense that it does not include any future values of fuzzy membership functions. An adaptive feedback control scheme is designed based on the global T-S fuzzy model, to ensure desired stability and tracking. As an illustrative example, a T-S fuzzy system is constructed based on the linearized local models of a transport airplane. Simulation results have demonstrated the developed new concepts and verified the desired performance of the new type of adaptive fuzzy control systems.
机译：本文为相对离散度为ρ（1≤ρ≤n）的一般离散时间状态空间T-S模糊系统提供了一种自适应控制的新解决方案框架。提出了一种从非规范形式的局部状态空间模型构造全局TS模糊系统模型的新方法，该模型具有明确的相对度结构和特定的输入输出信号因果关系，即不包含任何形式的关系。模糊隶属函数的未来值。基于全局T-S模糊模型，设计了一种自适应反馈控制方案，以确保所需的稳定性和跟踪性。作为说明性示例，基于运输飞机的线性局部模型构造了T-S模糊系统。仿真结果证明了开发的新概念并验证了新型自适应模糊控制系统的期望性能。

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