2017
DOI: 10.1016/j.ast.2017.10.005
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A prescribed performance control approach guaranteeing small overshoot for air-breathing hypersonic vehicles via neural approximation

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Cited by 82 publications
(42 citation statements)
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“…On the other hand, except for stabilization, transient performance is widely considered to be a very significant index for hypersonic flight control systems. Prescribed performance control (PPC) [9], [22] has been shown to efficiently guarantee transient performance. The key point of PPC is to devise performance functions which are used to impose funnel constraints on tracking errors.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, except for stabilization, transient performance is widely considered to be a very significant index for hypersonic flight control systems. Prescribed performance control (PPC) [9], [22] has been shown to efficiently guarantee transient performance. The key point of PPC is to devise performance functions which are used to impose funnel constraints on tracking errors.…”
Section: Introductionmentioning
confidence: 99%
“…The other is that the robustness with respect to system uncertainties should be further enhanced. Hence various methodologies such as neural network, fuzzy system, and parameter projection estimation are employed to strengthen the back‐stepping control's robustness against disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…The problem has been addressed in the works of Bechlioulis and Rovithakis 13,14 and Theodorakopoulos and Rovithakis 15 by means of prescribed performance control (PPC) techniques, which permit the designer to prescribe the transient and steady-state performance of the closed-loop system, regarding the overshoot, the convergence rate, and the steady-state error. The concept of PPC was further extended to flight control systems, [16][17][18][19] vessel control systems, 20 and output-feedback control systems [21][22][23] successfully. Even so, it is noteworthy that the aforementioned PPC approaches 13,14,[21][22][23] require the a priori known control direction (ie, the sign of the control coefficient).…”
Section: Introductionmentioning
confidence: 99%
“…2. The method is structurally simple and functionally effective in the sense that no approximating structures, such as neuro/fuzzy systems used in other works, 17,18,23,[28][29][30][31][32]34 are used, despite unknown nonlinearities. 3.…”
Section: Introductionmentioning
confidence: 99%