Proceedings of 1994 33rd IEEE Conference on Decision and Control
DOI: 10.1109/cdc.1994.410963
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Static output feedback: a survey

Abstract: This paper reviews the static output feedback problem in the control of linear, time-invariant (LTI) systems. It includes analytical and computational methods and presents in a unified fashion, the knowledge gained in the decades of research into this most important problem.

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Cited by 308 publications
(288 citation statements)
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“…This system satisfies the PIP [28], i.e., the property that guarantees the existence of a stable stabilizer, and satisfies also the Extended PIP [28], i.e., the property that guarantees the existence of a stable stabilizer with a stable inverse. Therefore, both the PIP and the EPIP do not give an obstruction to the solvability of the SOF stabilization problem.…”
Section: Example 5 Consider a Linear Two-dimensional System In Observmentioning
confidence: 91%
See 1 more Smart Citation
“…This system satisfies the PIP [28], i.e., the property that guarantees the existence of a stable stabilizer, and satisfies also the Extended PIP [28], i.e., the property that guarantees the existence of a stable stabilizer with a stable inverse. Therefore, both the PIP and the EPIP do not give an obstruction to the solvability of the SOF stabilization problem.…”
Section: Example 5 Consider a Linear Two-dimensional System In Observmentioning
confidence: 91%
“…Many attempts have been made in the last years, so that at this stage we can count several nontrivial contributions to the problem, both numerical and speculative (see the survey paper [28] where the state of the art is presented and the existing methods are surveyed and compared).…”
Section: Introductionmentioning
confidence: 99%
“…An overview of the results in this subject area is given in [15]; for the most recent progress see [16]. Generic NP -hardness of the problem was proved in [8].…”
Section: Static Output Stabilizationmentioning
confidence: 99%
“…Primarily, this is the stability related to the properties of the Liapunov equation. The theory of covariance control can be used as one of the approaches to the synthesis of stabilizing controllers of the prescribed structure [6]. Moreover, there exists an interrelation between the robustness of a system and small deviations of the nondiagonal elements of a covariance matrix [7].…”
Section: Introductionmentioning
confidence: 99%
“…A problem for providing the prescribed state covariance matrix is solved in [6] with the aid of static controllers. In [9], these results are extended to the case of dynamic controllers of a low order (which does not exceed the order of an object).…”
Section: Introductionmentioning
confidence: 99%