Research on robust adaptive sliding film fault-tolerant control under nonlinear distortion of signal transmission in amorphous flat air-to-ground wireless ad-hoc network system

Abstract

Purpose To solve the above problems and ensure the stability of the ad hoc network node topology in the process of wireless signal transmission, this paper aims to design a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system. Design/methodology/approach This paper designs a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system. Findings The simulation results show that the amorphous flat wireless self-organizing network system has good nonlinear distortion fault-tolerant correction ability under the feedback control of the designed controller, and the system has the asymptotically stable convergence ability; the test results show: the node topology of the self-organizing network structural stability is significantly improved, which provides a foundation for the subsequent realization of long-distance transmission of ad hoc network nodes. Research limitations/implications Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Originality/value The controller can extract the fault information caused by nonlinear distortion in the wireless signal transmission process, and at the same time, its feedback matrix K can gradually converge the generated wireless signal error to zero, to realize the stable transmission of the wireless signal.

Neural network-based direct robust adaptive non-fragile fault-tolerant control of amorphous flattened air-ground wireless self-assembly system

“…Next, reference (Wang et al, 2017(Wang et al, , 2020(Wang et al, , 2023d(Wang et al, , 2023e, 2023c(Wang et al, , 2023b(Wang et al, , 2023a(Wang et al, , 2021 gives the failure mode of the internal actuator of the system shown in equation ( 3):…”

“…Referring to the literature (Wang et al , 2017, 2020, 2023d, 2023e, 2023c, 2023b, 2023a, 2021), in this paper, the amorphous flattened air-ground wireless self-assembled network system is equated to the uncertain system state space model shown in equation (1): …”

“…The control research object of this paper is an amorphous flattened air-ground wireless self-assembly network system, which will not be further discussed in the literature (Wang et al , 2017, 2020, 2023d, 2023e, 2023c, 2023b, 2023a, 2021) for the relevant detailed parameters. The core control objective of this paper is to make the amorphous flattened air-ground wireless self-assembly network system have the ability to resist unknown faults in quadrotor unmanned aerial vehicle (UAV) flight control and unknown faults in wireless communication of wireless self-assembly network associated links, and to have the ability to autonomously learn to adjust and track the approaching targets to improve the stability of the wireless self-assembly network topology.…”

“…In summary, this paper takes the amorphous flattened air-ground wireless self-assembly network system as the primary research object, takes the internal actuator failures (including two types of losses, namely, sudden actuator interruption and partial failure) (Wang et al , 2017, 2020, 2023d, 2023e, 2023c, 2023b, 2023a, 2021) and wireless self-assembly network system associated link wireless communication failures (including two types of failures, namely, data transmission delay and packet loss, of the wireless self-assembly network system) of the quadrotor UAV flight control system during the network transmission and external unknown disturbances as system disturbance fault information (Wang et al , 2017, 2020, 2023d, 2023e, 2023c, 2023b, 2023a, 2021), based on the robust fault-tolerant control algorithm and neural network framework in automatic control theory technology, we propose a direct robust non-fragile adaptive neural network fault-tolerant controller for this system, which makes the system as a whole have good robust performance, adaptive adjustment performance, autonomous learning performance and fault-tolerance performance, and then realize the wireless self-assembled network topology of nodes. The network topology of the self-assembled wireless nodes has good stability and performance.…”

“…Broad through different fault modes can only have a Lyapunov matrix limit, which can be distributed simultaneously to solve the quadrotor UAV flight control (including external disturbance, internal actuator part failure, random interrupt and drift failure) and wireless communication coverage (including Markov random delay and uncertain probability loss). Literature (Wang et al , 2023b) designs a robust adaptive sliding-mode fault-tolerant controller for amorphous flattened air-to-ground wireless ad hoc network system under signal transmission nonlinear distortion, which can extract fault information caused by the nonlinear distortion of components such as power amplifiers during wireless signal transmission and converge the resulting wireless signal errors to zero asymptotically through the feedback matrix K, finally realizing stable wireless signal transmission and improving the wireless stability of the node topology of the ad hoc network.…”