摘要
本文针对输入、输出维数相同的多变量随机系统提出了两种状态空间自校正控制器——多变量状态空间极点配置自校正控制器和多变量状态空间自校正跟踪控制器。文中给出两种控制器结构和理论分析,前者适用于稳定/不稳定、最小相位/非最小相位线性时不变多变量系统,后者适用于稳定/不稳定、最小相位线性时不变多变量系统,简单的结构和优良的性能使两种算法能较好地应用于实时系统。
This paper presents two versions of state-space self-tuning controller for multivariable stochastic systems having the same number of input and output, namely, the multivariable statespace pole-placement self-tunlng controller and the multivariable state-space tracking selftuning controller. The paper gives not only the construction of both controllers, but also the theoretical analysis of their algorithms. The former algorithm can be applied to stable/unstable, minimum/non-minimum phase linear time-invariant multivariable system and the latter can be applied to stable/unstable, minimum phase linear time-invariant multivariable systems. The simplicity of construction and better control performance of the proposed algorithms facilitate their practical application to real systems.
出处
《自动化学报》
EI
CSCD
北大核心
1992年第1期31-38,共8页
Acta Automatica Sinica
关键词
自校正控制器
随机系统
多参数控制
Multivariable
self-tuning
parameter estimation
state-feedback.