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Model simplification and digital design of multivariable sampled-data control systems via a dominant-data matching method
Authors:L.S. Shieh  Y.F. Chang  R.E. Yates
Affiliation:Department of Electrical Engineering, University of Houston, Houston, Texas 77004, USA;Guidance and Control Directorate, US Army Missile Command, Redstone Arsenal, Alabama 35809, USA
Abstract:A dominant-data matching method is developed for model simplification and design of digital multivariable sampled-data control systems. A mixed method combining dominant-data matching and the dominant-pole technique is also derived for determining a stable reduced-degree multivariable digital controller. A real semiactive terminal homing missile system is used as an illustrative example.
Keywords:mathematical model  sample data systems  multivariable control systems  digital control  linear systems
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