Column-wise relative degree and it’s properties

Author(s):  
Andrey Vladimirovich Kraev 1 ◽  
A. I. Rogovskiy 1

Many questions of control theory are well studied for systems which satisfy to the relative degree definition. If this definition is fulfilled then there exists linear state-space transform reducing system to a very convenient canonical form where zero dynamics is a part of system’s equations. Algorithms of such reduction are well-known. However, there exist systems which don’t satisfy this definition. Such systems are the subject of investigation in the presented paper. To investigate their properties here we suggest to consider an analogue of the classical relative degree definition – the so-called column-wise relative degree. It turned out that this definition is satisfied in some cases when classical relative degree doesn’t exist. We introduce this notion here, investigate it properties and suggest algorithm for reducing systems to the column-wise relative degree compliant form if possible. It is possible to show that systems with column-wise relative degree also can be reduced to a convenient canonical form by a linear state-space transformation. Some problems arise from the fact that some systems which do not have relative degree can be reduced to a form with it using linear inputs or outputs transform. Here we show that this is an interesting mathematical problem, which can be solved with the help of properties of relative degree, formulated and proved in this paper.

Author(s):  
Dragan Djurdjanovic ◽  
Jie Zhu

Linear state space Stream of Variation (SoV) models of error flow in multistation assembly and machining systems have been well studied in the past decade. SoV models were utilized for identification of process-level root causes of manufacturing errors, quantitative characterization of measurements in multistation manufacturing systems, systematic selection of measurement points and features, as well as tolerance allocation and process design. Nevertheless, natural connection of the linear state space form of SoV models with traditional control theory has not been utilized to automatically compensate observed manufacturing errors and thus close the quality control loop. Recent advances in measurement technology and flexible fixtures make such operations possible and in this paper, we propose a method for strategic elimination of root causes of quality problems based on the SoV models of the flow of manufacturing errors. Furthermore, the concept of compensability that quantitatively depicts the capacity of error compensation in a specific system is proposed. Based on this concept analogous to the controllability in the traditional control theory, compensable and non-compensable subspaces of dimensional errors are identified and quantitatively described. Theoretical results have been demonstrated using the SoV model of a real industrial process used for machining of automotive cylinder heads.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 91720-91730 ◽  
Author(s):  
Haibo Zhang ◽  
Zhiwei Diao ◽  
Yunfeng Cui

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Mohamed Salah Boudellioua

Symbolic computation techniques are used to obtain a canonical form for polynomial matrices arising from discrete 2D linear state-space systems. The canonical form can be regarded as an extension of the companion form often encountered in the theory of 1D linear systems. Using previous results obtained by Boudellioua and Quadrat (2010) on the reduction by equivalence to Smith form, the exact connection between the original polynomial matrix and the reduced canonical form is set out. An example is given to illustrate the computational aspects involved.


2015 ◽  
Vol 24 (2) ◽  
pp. 393-407 ◽  
Author(s):  
Z. Biolek ◽  
D. Biolek ◽  
V. Biolkova ◽  
Z. Kolka

Sign in / Sign up

Export Citation Format

Share Document