Optimal self-triggered control and network co-design for networked multi-agent system via adaptive dynamic programming

Lokhande, Sanket C.; Xu, Hao

doi:10.1109/ssci.2017.8285318

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Lastly, the network implementation described here only permits one-hop communication. Previous work in this group identifies methodology for event-driven communication in similar multi-agent systems based on the communication matrix [22,23]. A combination of event-driven dynamic networking and attention-based data fusion may invite substantial gains on the simple debris collection task, or permit variations wherein the size or clutter of the region of interest would impose greater demands.…”

Section: Limitations and Future Workmentioning

confidence: 99%

Intelligent collaborative sensing for detection and removal of small distributed space debris

Dailey

Connolly

Lokhande

et al. 2023

Sensors and Systems for Space Applications XVI

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Space debris in the 1-10 cm diameter regime presents a particular hazard to future operations in low Earth orbit (LEO). These objects are too small to be reliably detected by terrestrial radar or telescopes, but too large for their impacts to be mitigated with Whipple shielding. This paper addresses this hazard by presenting a methodology for space-based detection and active debris removal (ADR) via novel intelligent collaborative sensing and efficient decentralized data fusion. In simulation, we demonstrate that a small heterogeneous constellation of co-orbiting satellites using attentional neural networks can autonomously share information and maneuver in a cooperative game to de-orbit space debris (e.g. with a mechanical arm or pulsed laser) while minimizing total energy consumption and collision risk in the constellation. Particular focus is given to the robustness and effectiveness of the developed collaborative sensing system with respect to sensor uncertainties and transient changes in observability between nodes.

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Section: Limitations and Future Workmentioning

confidence: 99%

Intelligent collaborative sensing for detection and removal of small distributed space debris

Dailey

Connolly

Lokhande

et al. 2023

Sensors and Systems for Space Applications XVI

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“…In [8] a collaborative design method combining adaptive controller and feedback scheduling strategy is proposed, which overcomes some limitations of application and execution platform. The other is to maximize the performance of the control system in collaborative design and see [9]- [11] for a partial list of references. For example, in [12] joint optimization of information transmission and state estimation developed to reduce the influence of network inducing factors on the convergence and accuracy of estimation.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Bandwidth Scheduling of Software Defined Networked Collaborative Control System

2020

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From the perspective of collaborative design of control and scheduling, a software-defined networked collaborative control system (SD-NCCS) is established. On this basis, the system performance of SD-NCCS is analyzed and the average sensitivities of reference are used in utility function to evaluate the effects of network-induced delays. Moreover, the network pricing mechanism and game theory are introduced and a dynamic bandwidth resource allocation model of the overall control system for optimal performance is obtained. Thus, the problem of the network resource allocation of the SD-NCCS has been converted to be the problem of solving the Nash equilibrium point under the non-cooperative game model. Furthermore, the Nash equilibrium solution under this frame is obtained using the estimation distributed algorithm (EDA). Finally, a simple example is included to illustrate the performance of our scheme. INDEX TERMS Estimation of distribution algorithm, game theory, network pricing, software-defined network.

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Reinforcement Learning for Cyber-Physical Systems

Liu

Liao

et al. 2019

2019 IEEE International Conference on Industrial Internet (ICII)

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Optimal self-triggered control and network co-design for networked multi-agent system via adaptive dynamic programming

Cited by 3 publications

References 20 publications

Intelligent collaborative sensing for detection and removal of small distributed space debris

Intelligent collaborative sensing for detection and removal of small distributed space debris

Dynamic Bandwidth Scheduling of Software Defined Networked Collaborative Control System

Reinforcement Learning for Cyber-Physical Systems

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