
Summary: A new approach to deadbeat control in multivariable linear time-invariant systems is presented. The approach enables us to find proportional- multiple-derivative output feedback matrices and a piecewise-constant control input vector such that the output vector of the closed-loop system coincides with the given reference vector r(t) for \(t\geq dT\), where r(t) represents the class of vector functions which can be generated in linear time-invariant systems, T is the given sampling period and d is the controllability index of the closed-loop system.
proportional-derivative output feedback gain matrices, proportional-multiple-derivative output feedback matrices, piecewise-constant control input vector, Linear systems in control theory, deadbeat control, Multivariable systems, multidimensional control systems, Pole and zero placement problems, Computational methods in systems theory, Model systems in control theory, Synthesis problems
proportional-derivative output feedback gain matrices, proportional-multiple-derivative output feedback matrices, piecewise-constant control input vector, Linear systems in control theory, deadbeat control, Multivariable systems, multidimensional control systems, Pole and zero placement problems, Computational methods in systems theory, Model systems in control theory, Synthesis problems
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
