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Automatica, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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1978
In the historical development of linear algebra the geometry of linear transformations and the algebra of systems of linear equations played significant and important roles. A system of linear equations has the form $$\begin{gathered} {{a}_{{1,1}}}{{x}_{1}} + {{a}_{{1,2}}}{{x}_{2}} + \cdots + {{a}_{{1,n}}}{{x}_{n}} = {{b}_{1}}, \hfill \\ {{a}_{{2,1}
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In the historical development of linear algebra the geometry of linear transformations and the algebra of systems of linear equations played significant and important roles. A system of linear equations has the form $$\begin{gathered} {{a}_{{1,1}}}{{x}_{1}} + {{a}_{{1,2}}}{{x}_{2}} + \cdots + {{a}_{{1,n}}}{{x}_{n}} = {{b}_{1}}, \hfill \\ {{a}_{{2,1}
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Linear Transformations and Linear Systems
2020Machine learning algorithms work with data matrices, which can be viewed as collections of row vectors or as collections of column vectors. For example, one can view the rows of an n × d data matrix D as a set of n points in a space of dimensionality d, and one can view the columns as features. These collections of row vectors and column vectors define
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METHOD AND SYSTEM OF LINEARIZATION FOR NON-LINEAR SYSTEM
2021CAO HAIYING +5 more
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The general state-space model for a two-dimensional linear digital system
IEEE Transactions on Automatic Control, 1985Jerzy Kurek
exaly
Stabilizing fuzzy system models using linear controllers
IEEE Transactions on Fuzzy Systems, 1999S H Zak
exaly