Algorithms for Robust Inversion of Dynamical Systems

IF 0.8 4区 数学 Q2 MATHEMATICS Differential Equations Pub Date : 2024-01-25 DOI:10.1134/s001226612314001x
E. I. Atamas’, A. V. Il’in, S. K. Korovin, V. V. Fomichev
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Abstract

A new methodology for solving inverse dynamics problem is developed. The methodology is based on using a mathematical model of a dynamical system and robust stabilization methods for a system under uncertainty.

Most exhaustively the theory is described for linear finite-dimensional time-invariant scalar systems and multiple-input multiple-output systems.

The study shows that with this approach, the zero dynamics of the original system is of crucial significance. This dynamics, if exists, is assumed to be exponentially stable.

It is established that zero-dynamics, relative order, and the corresponding equations of motion cannot be defined correctly in multiple-input multiple-output systems. For correct inverse transformation of the solution of the problem, additional assumptions have to be introduced, which generally limits the inverse system category.

Special attention is given to the synthesis of elementary (minimal) inverters, i.e., least-order dynamical systems that solve the transformation problem.

It is also established that the inversion methods sustain the efficiency with finite parameter variations in the initial system as well as with uncontrolled exogenous impulses having no impact on the system’s internal dynamics.

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动态系统鲁棒反演算法
摘要 提出了一种解决逆动力学问题的新方法。该方法基于使用动力学系统的数学模型和不确定性条件下系统的鲁棒稳定方法。研究表明,使用这种方法,原始系统的零动力学至关重要。零动力学、相对阶数和相应的运动方程无法在多输入多输出系统中正确定义。为了对问题的解进行正确的反变换,必须引入额外的假设,这通常会限制反变换系统的类别。研究特别关注基本(最小)反变换器的合成,即解决变换问题的最小阶动力系统。研究还确定,反变换方法在初始系统的有限参数变化以及对系统内部动力学不产生影响的不受控制的外源脉冲时都能保持高效。
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来源期刊
Differential Equations
Differential Equations 数学-数学
CiteScore
1.30
自引率
33.30%
发文量
72
审稿时长
3-8 weeks
期刊介绍: Differential Equations is a journal devoted to differential equations and the associated integral equations. The journal publishes original articles by authors from all countries and accepts manuscripts in English and Russian. The topics of the journal cover ordinary differential equations, partial differential equations, spectral theory of differential operators, integral and integral–differential equations, difference equations and their applications in control theory, mathematical modeling, shell theory, informatics, and oscillation theory. The journal is published in collaboration with the Department of Mathematics and the Division of Nanotechnologies and Information Technologies of the Russian Academy of Sciences and the Institute of Mathematics of the National Academy of Sciences of Belarus.
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