Distributed neuroadaptive fault-tolerant sliding-mode control for 2-D plane vehicular platoon systems with spacing constraints and unknown direction faults

Guo, Xiang-Gui; Wei-dong, XU; Wang, Jianliang; Park, Ju H.

doi:10.1016/j.automatica.2021.109675

Cited by 63 publications

(47 citation statements)

References 21 publications

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“…Therefore, the ith vehicle's control input is based on the (i − 1)th vehicle's states and control input which are transferred wirelessly. The model for each follower vehicle is given as follows [24],…”

Section: Problem Formulation and Preliminaries A System Dynamicsmentioning

confidence: 99%

“…• To avoid the possible collision and loss of effective connection, the distance keeping criteria are put forward and they can be ensured by stabilizing an auxiliary tracking error generated from a barrier function. In contrast to [24], the distance tracking error in the present paper is constrained by a time decreasing boundary set and the error transformation process is simplified by the given barrier function when compared to arctan or log functions in [11]- [13]. In addition, the communication burden is eased by the event-triggered mechanism with a relative threshold.…”

Section: Introductionmentioning

confidence: 99%

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Event-Triggered Multi-Lane Fusion Control for 2-D Vehicle Platoon Systems With Distance Constraints

Zhou

Zhu

et al. 2023

IEEE Trans. Intell. Veh.

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This paper investigates the event-triggered fixedtime multi-lane fusion control for vehicle platoon systems with distance keeping constraints where the vehicles are spread in multiple lanes. To realize the fusion of vehicles in different lanes, the vehicle platoon systems are firstly constructed with respect to a two-dimensional (2-D) plane. In case of the collision and loss of effective communication, the distance constraints for each vehicle are guaranteed by a barrier function-based control strategy. In contrast to the existing results regarding the command filter techniques, the proposed distance keeping controller can constrain the distance tracking error directly and the error generated by the command filter is coped with by adaptive fuzzy control technique. Moreover, to offset the impacts of the unknown system dynamics and the external disturbances, an unknown input reconstruction method with asymptotic convergence is developed by utilizing the interval observer technique. Finally, two relative threshold triggering mechanisms are utilized in the proposed fixed-time multi-lane fusion controller design so as to reduce the communication burden. The corresponding simulation results also verify the effectiveness of the proposed strategy.

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Section: Problem Formulation and Preliminaries A System Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Event-Triggered Multi-Lane Fusion Control for 2-D Vehicle Platoon Systems With Distance Constraints

Zhou

Zhu

et al. 2023

IEEE Trans. Intell. Veh.

View full text Add to dashboard Cite

show abstract

“…Up to now, there have been a variety of tracking control methods, such as robust control, [1][2][3][4][5] sliding control, [6][7][8] intelligence-based control, [9][10][11][12] and adaptive control. [13][14][15] Practical applications are usually nonlinear, which make controller design challenges. In recent years, adaptive tracking control, which has the advantage of coping with nonlinearity, disturbances, and parameter uncertainties of systems, has attracted more and more attention in academia and practice.…”

Section: Introductionmentioning

confidence: 99%

“…Tracking control of dynamic systems is a research hotspot in control theory. Up to now, there have been a variety of tracking control methods, such as robust control, 1‐5 sliding control, 6‐8 intelligence‐based control, 9‐12 and adaptive control 13‐15 . Practical applications are usually nonlinear, which make controller design challenges.…”

Section: Introductionmentioning

confidence: 99%

Adaptive predefined‐time tracking control for high‐order strict‐feedback nonlinear systems with unknown mismatched disturbances

Jia

Huang

2022

Adaptive Control & Signal

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Summary The problem of practical predefined‐time tracking control is con sidered for high‐order strict‐feedback nonlinear systems subject to unknown mismatched disturbances. The exact bound of the mismatched disturbances is unknown in this study. A novel adaptive predefined‐time tracking control strategy based on backstepping is proposed by applying a predefined time stability theory. Using the designed tracking controller, all signals are bounded, and a user‐defined bound on the tracking error is ensured in a predefined interval, independent of initial states. The estimation parameters associated with the upper bound of the disturbances are updated adaptively, making the system robust to the disturbances. Simulation studies are conducted to illustrate the performance of the proposed control strategy.

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“…In recent years, there have been various excellent approaches for reference to solve similar problems in command tracking control of complex multi-mode aircraft, such as tilt rotorcraft [14][15][16][17], near-space vehicles [18], hypersonic vehicles [19][20][21] and so on. Within these advanced control methods, neural network (NN) adaptive control is an effective way to handle complex disturbance and model uncertainty in multimodal vehicles [22][23][24][25]. However, some factors limit the extension of traditional NN adaptive control.…”

Section: Introductionmentioning

confidence: 99%

Improved neural network adaptive control for compound helicopter with uncertain cross-coupling in multimodal maneuver

et al. 2022

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Distributed neuroadaptive fault-tolerant sliding-mode control for 2-D plane vehicular platoon systems with spacing constraints and unknown direction faults

Cited by 63 publications

References 21 publications

Event-Triggered Multi-Lane Fusion Control for 2-D Vehicle Platoon Systems With Distance Constraints

Event-Triggered Multi-Lane Fusion Control for 2-D Vehicle Platoon Systems With Distance Constraints

Adaptive predefined‐time tracking control for high‐order strict‐feedback nonlinear systems with unknown mismatched disturbances

Improved neural network adaptive control for compound helicopter with uncertain cross-coupling in multimodal maneuver

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