Fixed-Time Cooperative Tracking for Delayed Disturbed Multi-Agent Systems Under Dynamic Event-Triggered Control

Liu, Jian; Wu, Yongbao; Sun, Mengwei; Sun, Changyin

doi:10.1109/jas.2022.105503

Cited by 40 publications

(20 citation statements)

References 24 publications

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“…Thus the attitude control in this paper is paid more attention on the singularity-free problem, which is discussed in the next section. Consider the attitude dynamics (8), introduce an augmented state vector x * a (k) ∈ R 6N p , which represent N p ahead prediction states of x a (k) in (8). According to the iterative relation, rewrite the prediction states x * a (k) in a compact form such that,…”

Section: Optimization Index Of the Attitude Loopmentioning

confidence: 99%

“…6 Liu et al studied the fixed-time cooperative tracking problem for delayed disturbed systems which could be applied in the multi-spacecraft system. 7,8 By employing dual-quaternion dynamics, Dong et al proposed a 6-DoF control method to guarantee cooperative control during the chaser arrives at the target's docking port. 9 All these papers achieved promising control performance.…”

Section: Introductionmentioning

confidence: 99%

“…Gao et al provided a time‐synchronized stability controller and a fixed‐time‐synchronized stability controller for a 6‐DoF RVD 6 . Liu et al studied the fixed‐time cooperative tracking problem for delayed disturbed systems which could be applied in the multi‐spacecraft system 7,8 . By employing dual‐quaternion dynamics, Dong et al proposed a 6‐DoF control method to guarantee cooperative control during the chaser arrives at the target's docking port 9 .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sampling‐based 3‐D line‐of‐sight PWA model predictive control for autonomous rendezvous and docking with a tumbling target

Dong

Guo

et al. 2023

Intl J Robust & Nonlinear

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This article introduces a line-of-sight (LOS)-Euler rendezvous and docking (RVD) framework to dock with a tumbling target under several RVD constraints. By a double-loop control scheme, the chaser's position is controlled to track the target's docking port which is coupled with its rotation. The chaser's attitude is driven to track the target's rotation, while satisfying the field of view constraintwhich is coupled with the LOS range. These complex couplings are linearly described in the proposed framework. To this end, the 6 DoF information interactions among the sensor measurements, states, and RVD constraints need no transformation and linearization. Consider the online piecewise affine (PWA) model predictive controller (MPC) may be unsolvable under complex constraints, which is caused by the accumulated prediction error, a sampling-based method is proposed. The linear predictions are driven to the closer neighborhoods of the actual nonlinear states by constructing directional sampling intervals. Besides, a singularity free strategy is provided to realize continuous tracking with crossing the singularities of angle states. Detailed numerical simulations illustrate the validity of the proposed methods.

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Section: Optimization Index Of the Attitude Loopmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sampling‐based 3‐D line‐of‐sight PWA model predictive control for autonomous rendezvous and docking with a tumbling target

Dong

Guo

et al. 2023

Intl J Robust & Nonlinear

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show abstract

“…2. Different from the analysis of fixed-time consensus problem for fixed topology, 17,18,19,20,21,22,24,25 this paper solves the practical fixed-time average consensus problem of general linear multi-agent systems under a more general switching topologies. 3.…”

Section: Introductionmentioning

confidence: 99%

“…3. Compared with the research on first-order systems, 24,25,26 this paper breaks the limitations of first-order systems and extends the dynamic event-triggered mechanism to general linear multi-agent systems, which poses a greater challenge to the design of fixed-time consensus control protocol.…”

Section: Introductionmentioning

confidence: 99%

Dynamic event-triggered fixed-time average consensus for multi-agent systems under switching topologies

Ning

Chen

et al. 2023

Preprint

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This paper studies the practical fixed-time average consensus problem for general continuous linear multi-agent systems under switching topologies. Firstly, a distributed fixed-time consensus control protocol based on dynamic event-triggered mechanism is designed by using the local information exchange between individual agents. The protocol introduces auxiliary dynamic variables, and the triggering condition changes in real time based on the dynamic variable obtained online, which can significantly reduce the number of triggering events, effectively decrease the energy dissipation of the system and the update frequency of the controller. Then, under the designed control protocol, the sufficient conditions for the multi-agent system to solve the practical fixed-time average consensus problem are given, and it is proved that there is no Zeno behavior in the system. Finally, the simulation results verify the effectiveness of the conclusions.

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Robust Optimal Consensus Control for Nonlinear Multi‐agent Systems: Two Hybrid Dynamic Event‐Triggered‐Based Approach

Zou,

Zhang

2024

Adaptive Control & Signal

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In this paper, the dynamic event‐triggered robust optimal consensus control problem is investigated for nonlinear multi‐agent systems (MASs) with matched and mismatched disturbances via integral sliding mode (ISM) control and the adaptive dynamic programming (ADP) algorithm. First, a dynamic event‐triggered fixed‐time ISM controller is designed to guarantee that the system state converges to the predefined ISM manifold, thereby eliminating the matched disturbances. Next, the consensus control problem is transformed into an optimal control problem by constructing neighborhood error dynamics and a new modified cost function; thus, an event‐triggered‐based coupled Hamilton‐Jacobi‐Bellman equation (HJBE) is established. Then, an ADP‐based single‐critic neural network (NN) is constructed to solve coupled HJBE to obtain the event‐triggered optimal controller, in which the NN weight is updated only at the triggering instants. Through the implementation of these two dynamic event‐triggered mechanisms, resources and controller execution time can be saved. It is proved that the whole closed‐loop system signals are uniformly ultimately bounded by the Lyapunov technique. Finally, two illustrative examples verify the effectiveness and superiority of the proposed control scheme.

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Fixed-Time Cooperative Tracking for Delayed Disturbed Multi-Agent Systems Under Dynamic Event-Triggered Control

Cited by 40 publications

References 24 publications

Sampling‐based 3‐D line‐of‐sight PWA model predictive control for autonomous rendezvous and docking with a tumbling target

Sampling‐based 3‐D line‐of‐sight PWA model predictive control for autonomous rendezvous and docking with a tumbling target

Dynamic event-triggered fixed-time average consensus for multi-agent systems under switching topologies

Robust Optimal Consensus Control for Nonlinear Multi‐agent Systems: Two Hybrid Dynamic Event‐Triggered‐Based Approach

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