Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: An average dwell time switching approach

Wang, Yuanqing; Niu, Ben; Wang, Huanqing; Alotaibi, Naif D.; Abozinadah, Ehab

doi:10.1016/j.neucom.2020.10.023

Cited by 84 publications

(42 citation statements)

References 52 publications

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“…The purpose of this work is to design a continuously control algorithm for agents (7) with input saturation under Assumption 1 and communication topology described by time-varying graphs such that the following objective is guaranteed, that is,…”

Section: Problem Formulationmentioning

confidence: 99%

“…The cooperative control of multi-agent systems (MASs) has received significant attention in the last several decades, where the design of distributed control algorithms for consensus of MASs is a fundamental task due to its considerable applications. [1][2][3][4][5][6][7][8][9] Besides, consensus control for nonlinear MASs is technically important, since nonlinear dynamics are usually assumed to be unknown. [10][11][12] The standard method is the use of a neural network (NN), which can be employed to approximate the smooth, unknown nonlinear dynamics.…”

Section: Introductionmentioning

confidence: 99%

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A continuous distributed control algorithm for time‐varying networks of nonlinear agents with input saturation

Wang

Sun

2021

Intl J Robust & Nonlinear

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In this article, we explore the possibility of designing a continuous control algorithm for time-varying networks of high-order nonlinear agents with input saturation. A class of neural network-based (NN) distributed control algorithms are proposed for the consensus of nonlinear agents with input saturation and nonidentical unknown control directions (UCDs) under uniformly quasi-strongly -connected graphs. An NN is used to cancel the unknown part of agent dynamics due to the well known NN function approximation property.Also, an adaptive smooth term is employed to compensate for the bounded disturbance, the approximation error. Moreover, an auxiliary system is designed to counteract the effect of input saturation. Furthermore, the control law is augmented with the Nussbaum-type function to obtain an estimation of the UCDs. It is proven rigorously that the consensus of nonlinear agents with input saturation and nonidentical UCDs can be guaranteed, and the boundedness of all signals of closed-loop systems is ensured. Finally, simulation examples are given to show the effectiveness of our theoretical results.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A continuous distributed control algorithm for time‐varying networks of nonlinear agents with input saturation

Wang

Sun

2021

Intl J Robust & Nonlinear

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“…where F n is the negative thrust and F p is the positive thrust; at the same time, the efficiency matrix is grouped correspondingly [17]:…”

Section: Modeling Of Cold Air Rust Distributionmentioning

confidence: 99%

“…Wang et al [17] designed an adaptive control law based on the Lyapunov function, combined the backstepping method with the adaptive control law, and proposed an observer-based adaptive output feedback tracking control method, which can ensure that all the closed-loop system signals are bounded. Ma et al [18] studied the problem of adaptive neural fault-tolerant control for a class of uncertain switched nonfeedback nonlinear systems with unmodeled dynamics and unmeasured states, by designing an adaptive fault-tolerant tracking controller to ensure that all closedloop signals are bounded under arbitrary switching.…”

Section: Introductionmentioning

confidence: 99%

Research on High-Precision Attitude Control of Joint Actuator of Three-Axis Air-Bearing Test Bed

Chen

Luo

et al. 2021

Journal of Control Science and Engineering

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Three-axis air-bearing test bed is important semiphysical simulation equipment for spacecraft, which can simulate spacecraft attitude control, rendezvous, and docking with high confidence. When the three-axis air-bearing table is maneuvering at a large angle, if it is only controlled by the flywheel, it will cause the problems of slow maneuvering speed and high energy consumption, and when the external interference torque becomes large, the control accuracy will decline. A combined actuator including flywheel, air-conditioner thruster, and automatic balancing device is designed, and a hierarchical saturation PD control algorithm is proposed to improve the control accuracy and anti-interference ability of the three-axis air-bearing test bed. Finally, the mathematical simulation of the proposed control algorithm is carried out, and the physical verification is carried out on the three-axis air-bearing test bed. The results show that the control algorithm has higher control accuracy than the traditional control algorithm, and the control accuracy is better than 0.1 ∘ and basically meets the attitude control requirements of the ground simulation in-orbit satellite.

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“…Applying the neuron control method to the invariant system [ 33 ] is a creative idea. I can apply the adaptive fuzzy control method for the nonlinear system in [ 34 ] to create something new for the research. I can use the optimal critic design method for the system in [ 35 ], and from there, I can find the advantages of the abovementioned method compared to the previous traditional methods.…”

Section: Introductionmentioning

confidence: 99%

The Stability of a Two-Axis Gimbal System for the Camera

Danh

2021

The Scientific World Journal

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Gimbal or an inertial stabilization platform (ISP) is used to stabilize the line of sight of an object or device that is tracking another object (LOS) with stationary or moving targets or targets moving forward. It can achieve precision when there is isolation between the tracker and the gimbal base. Studying the 2-axis tilt angle to create gimbal stability, especially in a camera, is a compelling subject for the automation field, as it is controlled by modern controllers. This paper presents a two-axis gimbal loop in which the LOS rate is stable, and I proceed to examine the stability of the system to get a better overview of the system properties. Through examining the stability of the system, I can choose from modern control methods to control them. The stability of the system used from the two analysis methods I present below gives me a visual view from the results achieved. The simulation is performed in MATLAB.

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Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: An average dwell time switching approach

Cited by 84 publications

References 52 publications

A continuous distributed control algorithm for time‐varying networks of nonlinear agents with input saturation

A continuous distributed control algorithm for time‐varying networks of nonlinear agents with input saturation

Research on High-Precision Attitude Control of Joint Actuator of Three-Axis Air-Bearing Test Bed

The Stability of a Two-Axis Gimbal System for the Camera

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