CHARACTERISTIC DECOMPOSITION AND THE MULTIVARIABLE GENERALIZATION OF PREDICTIVE SELF-TUNING CONTROL
This paper presents a framework for the multivariable generalization of predictive self-tuning control. The proposed algorithm relies on a 'characteristic subsystem' description of the system, which reduces the multivariable control problem to a set of scalar problems so that currently exi...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
1988
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| Summary: | This paper presents a framework for the multivariable generalization of predictive self-tuning control. The proposed algorithm relies on a 'characteristic subsystem' description of the system, which reduces the multivariable control problem to a set of scalar problems so that currently existing single-input/single-output algorithms can be directly applied. This provides the user with the same flexibility in controlling the loops (individual input/output pairs) of the multivariable system as that associated with standard scalar implementations. The result is a multivariable self-tuning algorithm that achieves loop-by-loop control in a true, generalized Nyquist framework. |
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