Adaptive Attitude Control for Multi-MUAV Systems With Output Dead-Zone and Actuator Fault

Dong, Guowei; Cao, Liang; Yao, Deyin; Li, Hongyi; Lu, Renquan

doi:10.1109/jas.2020.1003605

Cited by 66 publications

(37 citation statements)

References 50 publications

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“…Lemma 1 (19). Consider the stochastic system (3). If the Lyapunov function V : R n → R satisfies positive definite, radially unbounded and twice continuously differentiable, and constants s…”

Section: Problem Formulationmentioning

confidence: 99%

“…Due to the universality of non-linear system in practical application, the control problem of non-linear system has always been a research hotspot in the past few decades. And as well known, backstepping technique is one of the powerful tools for analysis and control for non-linear systems [1][2][3][4][5][6]. More details, in [7][8][9][10][11], with the help of backstepping technique, the output feedback, stabilisation control and stability issues of stochastic systems were considered.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive fuzzy control for non‐strict‐feedback stochastic uncertain non‐linear systems based on event‐triggered strategy

Lian

Xia

Sun

et al. 2021

IET Control Theory & Appl

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This paper investigates the issue of adaptive fuzzy control for a category of non-strictfeedback stochastic uncertain non-linear systems. Based on event-triggered mechanism, an adaptive fuzzy controller with a simple form is designed by combining backstepping technique with fuzzy logic system. The devised controller not only ensures the output signal tracking reference signal and all signals of the closed-loop system are bounded in probability but also reduces the communication load between controller and actuator. In addition, the feasibility of the considered event-triggered mechanism is guaranteed by eliminating Zeno behaviour. Finally, the validity of the proposed result is proved by an example. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy control for non‐strict‐feedback stochastic uncertain non‐linear systems based on event‐triggered strategy

Lian

Xia

Sun

et al. 2021

IET Control Theory & Appl

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“…Theorem 1. Consider the 6-DOF control system (6) with the fixed-time coordinated control law (28). If the parameter uncertainty and external disturbance satisfy Assumptions 1-2, then the sliding mode vector s i will converge into…”

Section: Complexitymentioning

confidence: 99%

“…As is well known, the coordinated control of attitude and orbit are two equally important technologies. It is essential to achieve the desired attitude and position simultaneously for SFF mission [6,7]. Owning to the dynamical coupling between orbit motion and attitude motion, these two motions can be considered as a whole six-degree-of-freedom (6-DOF) motion.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fixed-Time 6-DOF Coordinated Control of Multiple Spacecraft Formation Flying with Input Quantization

2020

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This paper investigates the fixed-time coordinated control problem of six-degree-of-freedom (6-DOF) dynamic model for multiple spacecraft formation flying (SFF) with input quantization, where the communication topology is assumed directed. Firstly, a new multispacecraft nonsingular fixed-time terminal sliding mode vector is derived by using neighborhood state information. Secondly, a hysteretic quantizer is utilized to quantify control force and torque. Utilizing such a quantizer not only can reduce the required communication rate but also can eliminate the control chattering phenomenon induced by the logarithmic quantizer. Thirdly, a 6-DOF fixed-time coordinated control strategy with adaptive tuning laws is proposed, such that the practical fixed-time stability of the controlled system is ensured in the presence of both upper bounds of unknown external disturbances. It theoretically proves that the relative tracking errors of attitude and position can converge into the regions in a fixed time. Finally, a numerical example is exploited to show the usefulness of the theoretical results.

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“…For instance, a quantized scheme was developed for linear systems in Reference 5, and an adaptive quantizer was designed for stochastic nonlinear systems in Reference 6. Recently, multi‐agent consensus problems have attracted much attention in view of their applications in various disciplines, such as cooperative surveillance, 7 distributed sensor networks, 8 and others 9‐14 …”

Section: Introductionmentioning

confidence: 99%

Adaptive event‐triggered consensus control of multi‐agent systems with prescribed performance and input quantization

Wang

MaHui

Liang

2021

Adaptive Control & Signal

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Summary This paper focuses on the adaptive fuzzy event‐triggered consensus control problem for multi‐agent systems (MAS) with prescribed performance and input quantization. Based on a prescribed performance function and an input quantization decomposition method, a new adaptive fuzzy event‐triggered consensus protocol is presented. The instances in the event‐triggered mechanism are triggered only when the event‐triggered error exceeds a specified threshold, which can save limited communication resources. It is demonstrated that the event‐triggered control protocol ensures that all signals in the MAS are semi‐globally uniformly ultimately bounded. As a result, the consensus tracking errors converge to prescribed limits. Finally, simulation examples are provided to validate effectiveness of the proposed event‐triggered control methods.

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Adaptive Attitude Control for Multi-MUAV Systems With Output Dead-Zone and Actuator Fault

Cited by 66 publications

References 50 publications

Adaptive fuzzy control for non‐strict‐feedback stochastic uncertain non‐linear systems based on event‐triggered strategy

Adaptive fuzzy control for non‐strict‐feedback stochastic uncertain non‐linear systems based on event‐triggered strategy

Adaptive Fixed-Time 6-DOF Coordinated Control of Multiple Spacecraft Formation Flying with Input Quantization

Adaptive event‐triggered consensus control of multi‐agent systems with prescribed performance and input quantization

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