Mixed Fuzzy Output Feedback Control Design for Nonlinear Dynamic Systems: An LMI Approach
Mixed Fuzzy Output Feedback Control Design for Nonlinear Dynamic Systems: An LMI Approach
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发表时间：
2000
影响因子：
10.4
通讯作者：
Bor‐Sen Chen;C. Tseng;Huey-Jian Uang
中科院分区：
文献类型：
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作者：
Bor‐Sen Chen;C. Tseng;Huey-Jian Uang
以交叉耦合的哈密顿 - 雅可比 - 伊萨克斯偏微分方程为特征。到目前为止，无论是解析地还是数值地求解交叉耦合的哈密顿 - 雅可比 - 伊萨克斯偏微分方程仍然非常困难。由于非线性系统混合控制问题的最优解很难获得，因此寻求非线性系统混合控制问题的次优解变得很有意义。此外，在非线性系统中状态变量常常是不可用的。在这种情况下，混合输出反馈控制对于实际应用更具吸引力。在本研究中，基于一种次优方法，提出了一种基于模糊观测器的混合控制设计，以在期望的抗扰约束下实现次优控制性能。
characterized in terms of cross-coupled Hamilton‐Jacobi‐Issacs partial differential equations. Until now, it is still very difficult to solve cross-coupled Hamilton‐Jacobi‐Issacs partial differential equations either analytically or numerically. Since the optimal solution for the mixed control problem of nonlinear systems is hardly obtained, it turns out to be interesting in seeking the suboptimal solution for the mixed control problem of nonlinear systems. Furthermore, state variables are often unavailable in nonlinear systems. In this situation, mixed output feedback control is more appealing for practical application. In this study, based on a suboptimal approach, a fuzzy observer-based mixed control design is proposed to achieve the suboptimal control performance under a desired disturbance rejection constraint.