Coalitional predictive control: Consensus-based coalition forming with robust regulation

Baldivieso‐Monasterios, Pablo R.; Trodden, Paul

doi:10.1016/j.automatica.2020.109380

Cited by 24 publications

(7 citation statements)

References 27 publications

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“…Baldivieso-Monasterios et. al use consensus optimization in [6] to generate the coupling topologies for a coalitional controller. The consensus optimization partitions the network in multiple parts.…”

Section: A Related Workmentioning

confidence: 99%

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Generation of Coupling Topologies for Multi-Agent Systems using Non-Cooperative Games

Kloock

Dirksen

Kowalewski

et al. 2022

2022 IEEE Intelligent Vehicles Symposium (IV)

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This paper presents a method for generating coupling topologies for multi-agent systems. Our method is based on a non-cooperative game in which each agent chooses couplings to activate or deactivate using a utility function. The utility function measures the importance of agents to one another and enables conflict avoidance in distributed decisionmaking. Depending on the application's needs, our method is able to generate unidirectional or bidirectional couplings. In our evaluation, we used car-like robots in a simulation environment. It shows that the generated coupling topologies are applicable to the domain of networked and autonomous vehicles.

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Section: A Related Workmentioning

confidence: 99%

“…Nevertheless, the computation time of topology generation is negligible compared to the computation time of generating trajectories. A limiting factor may 5 6 7…”

Section: Computation Timementioning

confidence: 99%

Generation of Coupling Topologies for Multi-Agent Systems using Non-Cooperative Games

Kloock

Dirksen

Kowalewski

et al. 2022

2022 IEEE Intelligent Vehicles Symposium (IV)

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“…If there is communication between agents, the control system is distributed. In contrast, Baldivieso [10] studied a joint control scheme that balanced the performance deterioration of decentralized control and the actual cost of centralized control system, and controlled the controllers of subsystems by forming an alliance over time. Subsequently, Wang [11] and Arauz [12] also adopted the model designed by Baldivieso, except that disturbance vectors were added to capture the coupling effects of external disturbances and adjacent subsystems.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control of supply chain inventory management under information sharing delay

Li,

Liu

2023

Third International Conference on Control and Intelligent Robotics (ICCIR 2023)

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“…In this regard, the uncertain dynamics are addressed with a tube-based approach [30], [31], hence maintaining the real system in the neighborhood of the nominal predictions, and also allowing an independent control law computation for each cluster. See also [32], [33] for some fairly recent results on coalitional MPC tube-based schemes. The global system state is driven to a given target set, while satisfying the states and inputs constraints, and assuring recursive feasibility and stability despite the dynamic formation of coalitions.…”

Section: Introductionmentioning

confidence: 99%

Distributed Model Predictive Control for Tracking: A Coalitional Clustering Approach

Chanfreut

Maestre

Ferramosca

et al. 2022

IEEE Trans. Automat. Contr.

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A coalitional robust model predictive controller for tracking target sets is presented. The overall system is controlled by a set of local control agents that dynamically merge into cooperative coalitions or clusters so as to attain an efficient trade-off between cooperation burden and global performance optimality. Within each cluster, the agents coordinate their inputs to maximize their collective performance, while considering the coupling effect with external subsystems as uncertainty. By using a tube-based approach, the overall system state is driven to the target sets while satisfying state and input constraints despite the changes in the controllers clustering. Likewise, feasibility and stability of the closed-loop system are guaranteed by tracking techniques. The applicability of the proposed approach is illustrated by an academic example.

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Coalitional predictive control: Consensus-based coalition forming with robust regulation

Cited by 24 publications

References 27 publications

Generation of Coupling Topologies for Multi-Agent Systems using Non-Cooperative Games

Generation of Coupling Topologies for Multi-Agent Systems using Non-Cooperative Games

Model predictive control of supply chain inventory management under information sharing delay

Distributed Model Predictive Control for Tracking: A Coalitional Clustering Approach

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