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Robust Stabilization and Observer-Based Stabilization for a Class of Singularly Perturbed Bilinear Systems

Author

Listed:
  • Ding-Horng Chen

    (Department of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, 1, Nan-Tai St., Yongkang District, Tainan 71005, Taiwan)

  • Chun-Tang Chao

    (Department of Electrical Engineering, Southern Taiwan University of Science and Technology, 1, Nan-Tai St., Yongkang District, Tainan 71005, Taiwan)

  • Juing-Shian Chiou

    (Department of Electrical Engineering, Southern Taiwan University of Science and Technology, 1, Nan-Tai St., Yongkang District, Tainan 71005, Taiwan)

Abstract

An infinite-bound stabilization of a system modeled as singularly perturbed bilinear systems is examined. First, we present a Lyapunov equation approach for the stabilization of singularly perturbed bilinear systems for all ε ∈(0, ∞). The method is based on the Lyapunov stability theorem. The state feedback constant gain can be determined from the admissible region of the convex polygon. Secondly, we extend this technique to study the observer and observer-based controller of singularly perturbed bilinear systems for all ε ∈(0, ∞). Concerning this problem, there are two different methods to design the observer and observer-based controller: one is that the estimator gain can be calculated with known bounded input, the other is that the input gain can be calculated with known observer gain. The main advantage of this approach is that we can preserve the characteristic of the composite controller, i.e., the whole dimensional process can be separated into two subsystems. Moreover, the presented stabilization design ensures the stability for all ε ∈(0, ∞). A numeral example is given to compare the new ε -bound with that of previous literature.

Suggested Citation

  • Ding-Horng Chen & Chun-Tang Chao & Juing-Shian Chiou, 2021. "Robust Stabilization and Observer-Based Stabilization for a Class of Singularly Perturbed Bilinear Systems," Mathematics, MDPI, vol. 9(19), pages 1-11, September.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2380-:d:642787
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    References listed on IDEAS

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    1. Zelin Nie & Feng Gao & Chao-Bo Yan, 2021. "A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency," Energies, MDPI, vol. 14(2), pages 1-13, January.
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