Prescribed Performance Neuroadaptive Fault-Tolerant Compensation for MIMO Nonlinear Systems Under Extreme Actuator Failures

Zhou, Shuyan; Song, Yongduan

doi:10.1109/tsmc.2019.2954875

Cited by 38 publications

(26 citation statements)

References 35 publications

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“…Next, in view of Remark 4 and the boundedness of z, it follows that W 1 , 1/Π and Π are bounded, and therefore τ 1 and α 1 are bounded, which further proves the boundedness of x 2 along with the coordinate transformation x 2 = z 2 +α 1 and the boundedness of w 2 due to (41). Hence W 2 , τ 2 and α 2 are also bounded.…”

Section: Design For High-order Time-varying Systemsmentioning

confidence: 61%

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Adaptive Control with Guaranteed Transient Behavior and Zero Steady-State Error for Systems with Time-Varying Parameters

Song¹

2022

Preprint

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It is nontrivial to achieve global zero-error regulation for uncertain nonlinear systems. The underlying problem becomes even more challenging if mismatched uncertainties and unknown time-varying control gain are involved, yet certain performance specifications are also pursued. In this work, we present an adaptive control method, which, without the persistent excitation (PE) condition, is able to ensure global zero-error regulation with guaranteed output performance for parametric strict-feedback systems involving fast time-varying parameters in the feedback path and input path. The development of our control scheme benefits from generalized t-dependent and x-dependent functions, a novel coordinate transformation and "congelation of variables" method. Both theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.

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Section: Design For High-order Time-varying Systemsmentioning

confidence: 61%

“…Unlike most prescribed performance control methods that only achieve uniformly ultimately bounded (UUB) for nonlinear systems with unknown but constant parameters [30]- [41], the proposed method ensures zero-error stabilization and global output performance for systems with fast time-varying parameters and mismatched uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control with Guaranteed Transient Behavior and Zero Steady-State Error for Systems with Time-Varying Parameters

Song¹

2022

Preprint

Self Cite

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“…On the other hand, modern physical systems depend on advanced control schemes, and related studies have been performed to validate their safety and performance (see [12][13][14][15][16][17][18][19][20][21][22]).…”

Section: Introductionmentioning

confidence: 99%

“…n many realistic problems, the structure of the system can be inconsistent and the system may become insecure. To improve the safety and reliability of the system, it is needful to build a reliability control; As a consequence, the efficiency, safety, and comfort of the dynamics can function well in conjunction with the failures of the actuator (see [17] and [19,20,23]). To this end, the reliable controller design has recently been the subject of extensive research and many interesting activity results were examined for various systems (see [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][23][24][25][26]).…”

Section: Introductionmentioning

confidence: 99%

Active vibration on offshore steel jacket platforms including delayed probabilistic actuator failures and resilient reliable sampled‐data control

Manivannan

Cao

Chong

2022

IET Control Theory & Appl

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This paper examines the unified dissipative performance of Offshore Steel Jacket Platforms (OSJPs) which include actuator failures and probabilistic delays, through a resilient and reliable sampled‐data controller. In detail, random variables fetching the Bernoulli distribution are treated in particular for the stochastic time‐delays. By implementing the Lyapunov–Krasovskii functions(LKF) together with the Second Order Bessel–Legendre Inequality Technique (SOBLIT) and an improved Reciprocally Convex Inequality (RCI) approach, which provides impressive information about sampling to guarantee that the OSJP is unified dissipative. The proposed criterion is exhibited in the sort of linear matrix inequalities (LMIs) and highlights of this study is to examine the multi‐dynamic interpretation of OSJP with extended dissipativity indices. The advantage of the established methodology is explored for OSJPs with the existing results, which is carried out along with the proposed control law, using their values of the experimental parameters.

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“…(25), (26), (33) and (36). Moreover, various fruitful studies have demonstrated that prescribed performance control techniques can effectively guarantee the desired transient and steady tracking behaviour (32,41) . For path-following control of a surface vessel, Zheng et al (35) developed a robust adaptive control law that obtained prescribed tracking performance.…”

Section: Introductionmentioning

confidence: 99%

Neuroadaptive output-feedback trajectory tracking control for a stratospheric airship with prescribed performance

et al. 2020

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ABSTRACT In this article, we investigate the horizontal trajectory tracking problem for an underactuated stratospheric airship subject to nonvanishing external disturbances and model uncertainties. By transforming the tracking errors into new virtual error variables, we can specify the transient and steady-state tracking performance of the resulting nonlinear system quantitatively, which means that under the proposed control scheme, the tracking errors will converge to prescribed residual sets around the origin before a preselected finite time with decay rates no less than a preassignable value. To address unknown items, minimal learning parameter (MLP) techniques for neural networks (NNs) approximation are employed, which efficaciously relax the computational burden, enhance the robustness against dynamics uncertainties and provide an improved property for disturbances rejection. A finite-time convergent observer (FTCO) is incorporated into the control framework to realise output-feedback control, ensuring that estimation errors are bounded during operation and approach zero within a finite time. Stability analysis proves that all the closed-loop signals are uniformly bounded. The effectiveness and advantages of the proposed control strategy are verified by simulation results.

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Prescribed Performance Neuroadaptive Fault-Tolerant Compensation for MIMO Nonlinear Systems Under Extreme Actuator Failures

Cited by 38 publications

References 35 publications

Adaptive Control with Guaranteed Transient Behavior and Zero Steady-State Error for Systems with Time-Varying Parameters

Adaptive Control with Guaranteed Transient Behavior and Zero Steady-State Error for Systems with Time-Varying Parameters

Active vibration on offshore steel jacket platforms including delayed probabilistic actuator failures and resilient reliable sampled‐data control

Neuroadaptive output-feedback trajectory tracking control for a stratospheric airship with prescribed performance

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