Towards Simultaneous Performance: Application of Simultaneous Stabilization Techniques to Helicopter Engine Control

Minto, K.D.

doi:10.23919/acc.1988.4789841

Cited by 7 publications

(1 citation statement)

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“…In the field of control systems engineering, ensuring that multiple systems remain stable using only one controller is a significant and practical challenge [1], [2], [3]. This challenge is known as simultaneous stabilization, and it's an important area of study that has received considerable attention from both theoretical researchers and practitioners [4], [5], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

The Covariance Extension Equation: A Riccati-Type Approach to Analytic Interpolation

Cui

Lindquist

2022

IEEE Trans. Automat. Contr.

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In this paper, we tackle the significant challenge of simultaneous stabilization in control systems engineering, where the aim is to employ a single controller to ensure stability across multiple systems. We delve into both scalar and multivariable scenarios. For the scalar case, we present the necessary and sufficient conditions for a single controller to stabilize multiple plants and reformulate these conditions to interpolation constraints, which expand Ghosh's results by allowing derivative constraints. Furthermore, we implement a methodology based on a Riccatitype matrix equation, called the Covariance Extension Equation. This approach enables us to parameterize all potential solutions using a monic Schur polynomial. Consequently, we extend our result to the multivariable scenario and derive the necessary and sufficient conditions for a group of m × m plants to be simultaneously stabilizable, which can also be solved by our analytic interpolation method. Finally, we construct four numerical examples, showcasing the application of our method across various scenarios encountered in control systems engineering and highlighting its ability to stabilize diverse systems efficiently and reliably.

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