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INTRODUCTION
Multi-input-multi-output systems (MEMS) are systems with several inputs (u
1
, u
2
, ..., u
m
) and several outputs (y
1
, y
2
, ..., y
r
). These systems cannot be reduced to the paralleling of single-input, single-output systems, but are characterized by coupling – or interaction – phenomena insofar as the application of a signal to one input generally results in a variation of several or all outputs. We will see
2.2.1
that, as a result, a multi-input-multi-output system is not "like" a monovariable system with more complicated calculations, but is something completely different.
This article is divided into two parts.
-
The first part deals with the representation of multidimensional systems, and more precisely how to move from an initial, external type of representation – i.e. input-output, either in the form of coupled differential equations, or in the form of a transfer matrix – to an internal type of representation, in the form of a state model.
Obtaining a state model is essential, both for simulation and, even more so, for control. Unlike in the case of single-input, single-output systems, the transition from an external representation to a state representation is not necessarily straightforward, and we shall see that these difficulties are linked to the notion of "order" in multi-input, multi-output systems. Attention is drawn to these problems, as experience shows that it is at this level, prior to ordering, that the most serious mistakes are made.
The second part deals with the control of multidimensional systems. Here again, there is no question of extending the techniques used in one-dimensional systems, and the control of a multi-input-multi-output system must be considered in a global manner. After a brief review, more historical than practical,...
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Multi-input-multi-output systems