Adaptive neural novel prescribed performance control for non-affine pure-feedback systems with input saturation

Wang, Yingyang; Hu, Jianbo; Wang, Jianhao; Xing, Xiaobo

doi:10.1007/s11071-018-4256-4

Cited by 36 publications

(23 citation statements)

References 52 publications

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“…Meanwhile, an adaptation law for is developed to handle the parametric uncertainties. Similar to the control design (4) in Section 2, the virtual input v is defined based on (10) and the matching Equation (17), that is…”

Section: Control Designmentioning

confidence: 99%

“…As a contrast to some of the existing works, 12,24,25,27 the proposed method is a dynamic state-feedback method instead of adding an integrator for the input. As a result, it does not increase the relative degree or level of uncertainty of the controlled systems, and helps to suppress the peaking phenomenon caused by the high-gain design as used in the work of Hovakimyan et al 12 Compared with the aforementioned neural network or fuzzy controllers, [14][15][16][17]19,20,22,23,27,[29][30][31][32][33] the proposed approach does not require the controlled nonaffine systems to have particular forms, and can deal with the multi-input case. Based on a Lyapunov-based analysis, it is shown that the proposed method guarantees the global asymptotic stability of the controlled systems with linearly parameterized uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, the mostly used backstepping procedure is avoid and a uniformly ultimately bounded tracking result is achieved. Wang et al 17 studied a class of pure‐feedback systems with possibly in‐differentiable plant dynamics and input saturation, and proposed an adaptive neural controller which ensures a prescribed tracking performance. This approach is enhanced by Wang et al 18 to handle the decentralized prescribed performance control problem of a class of nonaffine large‐scale systems, and it can also deal with discontinuous dynamics and general actuator nonlinearities including dead zone, backlash, and hysteresis.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive control of linearly parameterized nonaffine nonlinear systems via dynamic matching

Chen

2020

Intl J Robust & Nonlinear

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This article studies an adaptive control problem for nonaffine nonlinear systems with linear parametric uncertainty. Inspired by the affine system case, the studied nonaffine nonlinear systems are specified such that the ideal control input is implicitly defined by a matching equation stemming from a Lyapunov-based analysis. The core idea of control design is to solve the matching equation in a dynamic manner. Toward this end, a dynamic state-feedback law, together with an adaptation law for the unknown parameters, is developed such that global asymptotic stabilization is theoretically guaranteed. The proposed method is validated on a Duffing-Holmes oscillator with a nonaffine input and a multi-input numerical example.

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Section: Control Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive control of linearly parameterized nonaffine nonlinear systems via dynamic matching

Chen

2020

Intl J Robust & Nonlinear

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“…Accordingly, it is necessary and meaningful to consider input saturation in system analysis. Recently, many efforts have been done concerning MASs with input saturation [19][20][21][22], where the dynamics of systems in [19,20] were single and double integrators, respectively; [21] resolved the semi-global event-triggered consensus of linear MASs and the novel prescribed-performance-neural-adaptive-control of non-affine pure feedback system was discussed in [22].…”

Section: Introductionmentioning

confidence: 99%

Fully distributed coordination learning control of second‐order nonlinear multi‐agent systems with input saturation

Yang

2020

Asian Journal of Control

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This paper develops the coordination learning control of second-order non-linear multi-agent systems with input saturation. Fully distributed learning consensus protocols with fully saturated parameter adaptive updating laws are designed. Although there exists input saturation in the dynamics of each follower agent, the global perfect consensus tracking can be realized over a finite time interval. Meanwhile, an extension to formation control has been made, and two illustrative examples certify the validness of the presented algorithms.

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“…Most of the existing research results of HFV tracking control are focused on the accuracy of tracking error but ignore the transient performance of the system [29], [30]. A novel constraint approaches variable is used to construct virtual control that guarantees the tracking error within the transient and steady-state performance envelopment [31]. Wei et al study a new adaptive attitude control method which is suitable for target combination of post-capture space robots with unknown inertia and external disturbance to achieve prescribed performance [32].…”

Section: Introductionmentioning

confidence: 99%

Prescribed Performance Fault Tolerant Control for Hypersonic Flight Vehicles With Actuator Failures

Zhao

2019

IEEE Access

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This paper proposes a novel prescribed performance fault tolerant control for hypersonic flight vehicle nonaffine models with actuator failures. First, the hypersonic flight vehicle longitudinal model is decomposed into two subsystems: the altitude subsystem and the velocity subsystem, which are expressed in non-affine forms to design the controller. Second, a novel performance function is used to design the backstepping controller, considering the actuator failures of the altitude subsystem. Different from previous studies, the backstepping controller designed in this paper reduces the steps and computational load. For the velocity subsystem, a prescribed performance fault-tolerant control law is also designed for the nonaffine velocity subsystem with actuator failures. The novel performance function not only guarantees the transient performance and steady-state accuracy of the system but also greatly reduces the overshoot of tracking error. Finally, the Lyapunov functional is used to prove the stability of the designed control system, and the effectiveness and superiority of the method are verified by simulation. INDEX TERMS Hypersonic flight vehicles, prescribed performance, actuator failures, nonaffine model, backstepping control.

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Adaptive neural novel prescribed performance control for non-affine pure-feedback systems with input saturation

Cited by 36 publications

References 52 publications

Adaptive control of linearly parameterized nonaffine nonlinear systems via dynamic matching

Adaptive control of linearly parameterized nonaffine nonlinear systems via dynamic matching

Fully distributed coordination learning control of second‐order nonlinear multi‐agent systems with input saturation

Prescribed Performance Fault Tolerant Control for Hypersonic Flight Vehicles With Actuator Failures

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