中文摘要：

尽管简单适应控制(囊) 广泛地在灵活空间在理论和申请两个都被学习，结构控制和其它控制问题，它被限制由几乎严格地积极真实(ASPR ) 条件。处于很实际的控制问题， ASPR 条件没满足。基于囊理论，因此，这份报纸建议 backstepping 没有平行前馈控制赔偿者的需要与任意的相对的度适合系统的简单适应控制算法。建议控制算法由任意的相对的度系统的分解组成进一个已知的分系统和在串联，为已知的分系统的经常的输出反馈控制器的设计，和 backstepping 方法和未知 ASPR 分系统的囊的实现被连接的一个未知 ASPR 分系统。继承 SAC，的特征这个方法能为参数无常在网上是适应的。然后，到有并置的传感器和致动器的大灵活空间结构的建议控制器的申请被学习，并且模拟结果验证建议控制器。把古典囊用于高相对的度植物是新策略。

英文摘要：

Although the simple adaptive control （SAC） is widely studied both in theory and application in flexible space structure control and other control problems, it is restricted by the almost strictly positive real （ASPR） conditions. In most practical control problems, the ASPR conditions are not satisfied. Therefore, based on the SAC theory, this paper proposes a backstepping simple adaptive control algorithm which suits the system with arbitrary relative degree with no need of parallel feed forward compensa- tor. The proposed control algorithm consists of decomposition of the arbitrary relative degree system into a known subsystem and an unknown ASPR subsystem which are connected in cascade, design of constant output feedback controller for the known subsystem, and implementation of backstepping method and SAC of the unknown ASPR subsystem. Inheriting the characteristics of the SAC, this method can be adaptive online for the parameter uncertainties. Then, the application of the proposed controller to large flexible space structure with collocated sensors and actuators is studied, and the simulation results validate the proposed controller. It is a new strategy to apply the classical SAC to high relative degree plants.