Robust Conrol Design with Real-Parameter Uncertainties

Yeh, Hsi-Han; Rawson, Jenny L.; Banda, Siva S.

doi:10.23919/acc.1992.4792750

Cited by 10 publications

(1 citation statement)

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“…In Tao (2003) and Dong and Zhu (2011), adaptive control that modeled and approximated for time-invariant systems are introduced. It is also studied how to stabilize the linear system under unknown disturbance by robust control in Liu et al (2008) and Yeh et al (1992), and how to effectively reject wind turbulence using optimal control is studied in Woods-Vedeler and Pototzky (1995). In addition, adaptive control for multiple-input/multiple-output (MIMO) linear time-invariant systems have been approached with many different methods (Chen et al, 2004; Dong and Zhu, 2011; Tao, 2003; Weller and Goodwin, 1994).…”

Section: Introductionmentioning

confidence: 99%

Aircraft system modeling under turbulence conditions and aircraft adaptive turbulence compensation

Wang

Yang

2021

Transactions of the Institute of Measurement and Control

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An adaptive disturbance rejection control scheme is developed for solving the wind turbulence compensation problem. The turbulence wind studied in this paper is based on the mutual switch of several dominant wind directions. The linear models of aircraft under wind turbulence with different dominant directions are given. An adaptive controller is designed based on the model reference adaptive control when the aircraft encounters the wind turbulence in different dominant directions. Desired closed-loop system stabilization and output tracking have been proven. A simulation study on aircraft compensation has been presented to verify the effectiveness of our designed method.

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Section: Introductionmentioning

confidence: 99%

Aircraft system modeling under turbulence conditions and aircraft adaptive turbulence compensation

Wang

Yang

2021

Transactions of the Institute of Measurement and Control

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Observer-based compensators for fixed-order H_∞control

Juang

Yeh

Banda

1996

International Journal of Control

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This paper present a two-Riccati inequality approach for the design of fixed-order H, suboptimal controllers with an observer-based structure. The two Riccati inequalities are only one-way coupled and can be solved consecutively. The fixedorder controller has the structure of a fixed-order estimator of the state feedback control law in the presence of the worst-case disturbances. It retains the observedbased compensator structure of the full-order central controller of the standard H , design but adds a fixed-order dynamic and mappings between the full-order and the fixed-order state spaces. In the full-order special case, this controller recovers to the minimal entropy central controller of the standard H , design.

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Optimal scaled ℋ/sub ∞/ full information synthesis with real parametric uncertainty

Lind¹,

Balas²,

Packard³

Proceedings of 1995 American Control Conference - ACC'95

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Robust Conrol Design with Real-Parameter Uncertainties

Cited by 10 publications

References 9 publications

Aircraft system modeling under turbulence conditions and aircraft adaptive turbulence compensation

Aircraft system modeling under turbulence conditions and aircraft adaptive turbulence compensation

Observer-based compensators for fixed-order H_∞control

Optimal scaled ℋ/sub ∞/ full information synthesis with real parametric uncertainty

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Robust Conrol Design with Real-Parameter Uncertainties

Cited by 10 publications

References 9 publications

Aircraft system modeling under turbulence conditions and aircraft adaptive turbulence compensation

Aircraft system modeling under turbulence conditions and aircraft adaptive turbulence compensation

Observer-based compensators for fixed-order H∞control

Optimal scaled ℋ/sub ∞/ full information synthesis with real parametric uncertainty

Contact Info

Product

Resources

About

Observer-based compensators for fixed-order H_∞control