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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Consider an open loop stable multivariable system with n-inputs and n-outputs as shown in Figure 1.
Before the control, the controlled multivariable system is decoupled into a set of single input single output (SISO) systems.
Wolovich developed a synthesis procedure for linear multivariable system whose input and output is corrupted by unknown step disturbances [3].
Consider a linear time invariant multivariable system defined in the state space form as
Consider a multivariable system under stochastic disturbances, which is described by the following continuous-time state-space innovation form:
Dunn, "PID Controller Design for Disturbed Multivariable System," IEE Proc.
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.
External markets can be chosen through filter system method (see figure 1), market indices system method and balanced multivariable system method.
The degree will be open to all engineering undergraduates who will progress in their relevant areas of specialisation by using modelling, simulation and computer aided techniques applied to spatially dispersed , computer controlled, state space and multivariable systems.
Important topics covered include classical frequency domain methods, analysis of directions in multivariable systems using the singular value decomposition, input-output controllability (inherent control limitations in the plant), model uncertainty and robustness, performance requirements, methods for controller design and model reduction, control structure selection and decentralized control, and linear matrix inequalities.
The latest version of the module introduces new design features such as analytical proportional integral derivative (PID) for improving system closed-loop stability and model predictive control to multivariable systems.
Many processes can be described by multivariable systems.

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