multivariable system

multivariable system

[¦məl·tē′ver·ē·ə·bəl ‚sis·təm]
(control systems)
A dynamical system in which the number of either inputs or outputs is greater than 1.
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The first part is to decompose the multivariable system into an assembly of SISO models.
Consider an open loop stable multivariable system with n-inputs and n-outputs as shown in Figure 1.
So, a nonlinear multivariable system identification scheme is proposed, based on a linear state space representation to improve the performance of the wind turbine.
Wolovich developed a synthesis procedure for linear multivariable system whose input and output is corrupted by unknown step disturbances [3].
A HEN may be considered a multivariable system problem, involving at least one process variable or controlled variable (cv), in this case the target temperature (TT) attained through a process-to-process heat exchanger, and one or more potential manipulated variables (mv's).
In this article we describe the design and operational characteristics of a multivariable system built to simulate the biogeochemistry of lobster habitat in western LIS in support of experiments to investigate whether habitat may have been a factor in the mass mortality.
It is obvious that system (21) can be considered as special case for the general multivariable system in (14).
Before the control, the controlled multivariable system is decoupled into a set of single input single output (SISO) systems.
Consider a multivariable system under stochastic disturbances, which is described by the following continuous-time state-space innovation form:
External markets can be chosen through filter system method (see figure 1), market indices system method and balanced multivariable system method.
Hammerstein models are mentioned for example in applications to pH process control, where is used the poleplacement self-tuning control of nonlinear Hammerstein system [30], or in servo systems, where is employed the nonlinear modelling and predictive functional control of Hammerstein system [31], or like a recursive parametric estimation algorithm of multivariable systems described by Hammerstein models [26].
Keywords; Multivariable systems, transmission zeros, Minimum phase systems, Non-minimum phase, Quadruple-tank process.

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