论文标题
部分可观测时空混沌系统的无模型预测
Gain-Scheduling Controller Synthesis for Nested Systems with Full Block Scalings
论文作者
论文摘要
这项工作为结构化植物综合结构化增益式控制器的框架提供了根据时间变化的调度参数而变化的结构化植物。假定系统和控制器都以线性时间不变系统的反馈来接受描述，并带有所谓的调度块，这些调度块将所有调度参数收集到静态系统中。我们表明，这种线性分数表示允许利用所谓的提升技术，以解决几种结构化的增益安排设计问题。这些可能是由嵌套的内环控制配置引起的，部分或完全依赖于调度变量。我们的设计条件是根据凸线性矩阵不平等的形式制定的，并允许处理多个性能目标。
This work presents a framework to synthesize structured gain-scheduled controllers for structured plants whose dynamics change according to time-varying scheduling parameters. Both the system and the controller are assumed to admit descriptions in terms of a linear time-invariant system in feedback with so-called scheduling blocks, which collect all scheduling parameters into a static system. We show that such linear fractional representations permit to exploit a so-called lifting technique in order to handle several structured gain-scheduling design problems. These could arise from a nested inner and outer loop control configuration with partial or full dependence on the scheduling variables. Our design conditions are formulated in terms of convex linear matrix inequalities and permit to handle multiple performance objectives.
