Approximation-Based Approach to Adaptive Control of Linear Time-Varying Systems

IF 0.6 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Automation and Remote Control Pub Date : 2024-09-06 DOI:10.1134/s0005117924050047
A. Glushchenko, K. Lastochkin
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Abstract

An adaptive state-feedback control system is proposed for a class of linear time-varying systems represented in the controller canonical form. The adaptation problem is reduced to the one of Taylor series-based first approximations of the ideal controller parameters. The exponential convergence of identification and tracking errors of such an approximation to an arbitrarily small and adjustable neighbourhood of the equilibrium point is ensured if the condition of the regressor persistent excitation with a sufficiently small time period is satisfied. The obtained theoretical results are validated via numerical experiments.

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基于逼近的线性时变系统自适应控制方法
摘要 针对一类以控制器典型形式表示的线性时变系统,提出了一种自适应状态反馈控制系统。自适应问题被简化为基于泰勒级数的理想控制器参数第一近似问题。如果满足足够小的时间周期内调节器持续激励的条件,就能确保这种近似值的识别和跟踪误差指数收敛到平衡点的任意小的可调邻域。所获得的理论结果通过数值实验得到了验证。
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来源期刊
Automation and Remote Control
Automation and Remote Control 工程技术-仪器仪表
CiteScore
1.70
自引率
28.60%
发文量
90
审稿时长
3-8 weeks
期刊介绍: Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).
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