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Multivariable predictive feedback control
Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002, 2003In this work a new method for designing predictive controllers for linear MIMO systems is presented. It uses a prediction of the process output J time intervals ahead to compute the correspondent future error. Then, the predictive feedback controller is defined by introducing a filter that weights the last w-predicted errors. In this way, the resulting
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Tuning of a Multivariable Fuzzy Logic Controller
Intelligent Automation & Soft Computing, 1995ABSTRACTAlthough fuzzy logic control has created lots of interest in recent years, systematic tuning methods for fuzzy logic controllers have remained uncovered. The applications presented in the literature are usually tuned by trial-and-error methods.In this article a systematic off-line method for tuning a multivariable fuzzy logic controller for an ...
Pauli Viljamaa, Heikki N. Koivo
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Multivariate Bayesian Control Chart
Operations Research, 2008A multivariate Bayesian control chart for monitoring process mean under the assumption that the vector of process observations follows a multivariate normal distribution is considered. Traditional control charts such as Hotelling's T2, EWMA, and CUSUM charts have been applied to control industrial processes characterized by several measurable ...
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On QFT tuning of multivariable μ controllers
Automatica, 2000Optimal control involves feedback problems with explicit plant data and performance criteria for which a solution is either synthesized or ruled out. H¥ optimal control is probably the most renowned technique in this class where the control synthesis procedure involves various iterations over weightings.
J. W. Lee +2 more
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Integrating multivariate engineering process control and multivariate statistical process control
The International Journal of Advanced Manufacturing Technology, 2005Multivariate engineering process control (MEPC) and multivariate statistical process control (MSPC) are two strategies for quality improvement that have developed independently. MEPC aims to minimize variability by adjusting process variables to keep the process output on target.
Yang, L., Sheu, S.-H.
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Multivariable Control of Noise in an Acoustic Duct
European Journal of Control, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Control of Invertible Multivariable Nonlinear Systems
Journal of Systems Science and ComplexityzbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Controllability and Observability in Multivariable Control Systems
Journal of the Society for Industrial and Applied Mathematics Series A Control, 1963openaire +1 more source