Analytical Solution of the Problem of Modal Control by Output via Reducing to Modal Observation with Fewer Inputs

IF 0.5 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Computer and Systems Sciences International Pub Date : 2024-08-18 DOI:10.1134/s106423072470014x
N. E. Zubov, A. V. Lapin
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Abstract

An effective analytical method is proposed to solve the problem of modal control by output for a wide class of linear time-invariant systems in which the sum of inputs and outputs can be not only greater than or equal to but also less than the dimension of a state vector. The method is based on reducing the modal control by output to modal observation with fewer inputs. At the same time, it is not necessary to additionally ensure the solvability of the equation connecting the matrix of observer matrix and the desired matrix of controller by output. The reduction is performed by constructing a generalized dual canonical form of control using the operations of the block transpose and the rank decomposition of matrices. The method significantly expands the class of systems for which an analytical solution exists compared to the previously proposed approaches, since it is not strictly tied to the control system’s dimension and also does not require mandatory zeroing of the column and obtaining a system with a scalar input. Based on the proposed method, a strict algorithm for the analytical solution of problems from the considered class is formed. A simple and convenient necessary condition of reducibility of modal control by output to modal observation with fewer inputs is also obtained, which allows evaluating the possibility of analytical solution of the original problem basing only on its formulation. Examples of various problems of modal control by output in which the sum of inputs and outputs is less than or equal to the dimension of a state vector are considered in symbolic form. A detailed analytical solution of the considered examples demonstrates the efficiency of the proposed approach practical application.

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通过减少输入到模态观测的输出模态控制问题的分析解决方案
摘要 本文提出了一种有效的分析方法,用于解决一类线性时变系统的输出模态控制问题,在这类系统中,输入和输出之和不仅可以大于或等于状态向量的维数,而且可以小于状态向量的维数。该方法的基础是将输出模态控制简化为输入较少的模态观测。同时,无需额外确保连接观测器矩阵和所需控制器输出矩阵的方程的可解性。利用矩阵的分块转置和秩分解运算,通过构建控制的广义对偶典型形式来进行还原。与之前提出的方法相比,该方法大大扩展了存在解析解的系统类别,因为它与控制系统的维度没有严格的联系,也不需要对列进行强制归零和获得具有标量输入的系统。基于所提出的方法,形成了一种严格的算法,用于分析解决所考虑类别中的问题。此外,还获得了一个简单方便的必要条件,即通过输出将模态控制还原为输入较少的模态观测,从而可以仅根据原始问题的表述来评估其分析求解的可能性。以符号形式考虑了输入和输出之和小于或等于状态向量维数的各种输出模态控制问题的例子。对所考虑的示例进行详细的分析求解,证明了所建议方法的实际应用效率。
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来源期刊
Journal of Computer and Systems Sciences International
Journal of Computer and Systems Sciences International 工程技术-计算机:控制论
CiteScore
1.50
自引率
33.30%
发文量
68
审稿时长
6-12 weeks
期刊介绍: Journal of Computer and System Sciences International is a journal published in collaboration with the Russian Academy of Sciences. It covers all areas of control theory and systems. The journal features papers on the theory and methods of control, as well as papers devoted to the study, design, modeling, development, and application of new control systems. The journal publishes papers that reflect contemporary research and development in the field of control. Particular attention is given to applications of computer methods and technologies to control theory and control engineering. The journal publishes proceedings of international scientific conferences in the form of collections of regular journal articles and reviews by top experts on topical problems of modern studies in control theory.
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