Practical Fixed-Time Affine Formation for Multi-Agent Systems With Time-Based Generators

Gao, Kai; Liu, Yongfang; Zhou, Yuan; Zhao, Yu; Huang, Panfeng

doi:10.1109/tcsii.2022.3186395

Cited by 14 publications

(7 citation statements)

References 19 publications

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“…where 𝜶 i is the nominal virtual control law that will be designed later. By using (20), the optimal virtual control law can be rewritten as…”

Section: Controller Designmentioning

confidence: 99%

“…Similar to the design in (20), we introduce 𝝉 i as the nominal control law. Then, we consider the following transformation…”

Section: Controller Designmentioning

confidence: 99%

“…Furthermore, this work has been extended to high-ordered multi-agent systems, 17 and systems with directed communication topology. 18,19 To enhance the control performance of AFM controllers, some fixed-time schemes, 20,21 prescribed-time schemes, 22,23 and historical states-based approaches 24,25 have been implemented to design the AFM control law. With the consideration of engineering practice, researchers also paid efforts to apply AFM theory in practical nonlinear systems, including multiple spacecrafts, 26,27 USVs, 4,[28][29][30][31] and unmanned aerial vehicles.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Two‐layer leader‐follower optimal affine formation maneuver control for networked unmanned surface vessels with input saturations

Zhou,

Huang,

et al. 2023

Intl J Robust & Nonlinear

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This article studies the two‐layer leader‐follower optimal affine formation maneuver (AFM) control problem for multiple unmanned surface vessels (USV). The basic idea of the developed two‐layer control framework is to realize the time‐varying formation for the leader group in advance, and then let the follower USVs agilely respond to the target formation affinely localized by leaders. To realize this goal, a time‐varying formation reference system is first synthesized to describe leaders' target formation in the affine map of the nominal configuration. The reference system is set up by virtual vessel velocity command and unrotated geometric command, which make it possesses an intuitive application structure for operators to plan AFM commands in real‐time sensed surrounding environments. Then, by means of optimized backstepping design and the adaptive dynamic programming technique, actor‐only reinforcement learning controllers are established for USVs in both two layers to realize the optimal target formation tracking objective. For the proposed optimal controllers, the persistent excitation condition that is required by common optimal control schemes is also removed, which endows the presented scheme with lower computational complexity. Finally, theoretical analysis and simulation results illustrate the closed‐loop stability and the effectiveness of the presented scheme.

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“…where 𝜶 i is the nominal virtual control law that will be designed later. By using (20), the optimal virtual control law can be rewritten as…”

Section: Controller Designmentioning

confidence: 99%

“…Similar to the design in (20), we introduce 𝝉 i as the nominal control law. Then, we consider the following transformation…”

Section: Controller Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Two‐layer leader‐follower optimal affine formation maneuver control for networked unmanned surface vessels with input saturations

Zhou,

Huang,

et al. 2023

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…The description of telecommunication exchanges and the criteria governing data flow in the consensus approach are based on multi-agent system (MAS) theory [94][95][96][97][98]. An essential challenge in the MAS consensus method is to develop a suitable control strategy that enables all units to converge on a single value.…”

Section: Consensus-based Techniquesmentioning

confidence: 99%

“…It is a decentralized solution that facilitates the synchronization of dispersed generation units within an MG through data exchange. The description of telecommunication exchanges and the criteria governing data flow in the consensus approach are based on multi‐agent system (MAS) theory [94–98]. An essential challenge in the MAS consensus method is to develop a suitable control strategy that enables all units to converge on a single value.…”

Section: Auxiliary Control In Mgsmentioning

confidence: 99%

The nexus of energy in microgrids: A review on communication barriers in distributed networks auxiliary controls

Ahmed,

Basit,

e Mustafa

et al. 2023

IET Generation Trans & Dist

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Microgrids are a new concept resulting from decentralized power sources, which have changed energy utility grid topography. As this promising field is penetrated, control must be streamlined immediately. This paper analyses key control mechanisms in energy utility networks, including centralized, decentralized, and distributed setups. The focus is on the auxiliary category as the various benefits and drawbacks of each approach is investigated. Information interchange architectures that enable multiple control techniques in the auxiliary control domain are examined using distributed energy networks. The research emphasizes the necessity of auxiliary control in ensuring reliable and effective utility infrastructure operation but notes the lack of a comprehensive scholarly reference. Additionally, the study explores key concerns in utility grids' auxiliary control mechanisms, emphasizing information‐sharing system limits. The goal is to demonstrate the importance of auxiliary control and evaluate its challenges, such as latency, which require new solutions for a seamless transition to a sustainable energy future through rigorous academic assessment. At the auxiliary level, complex, decentralized regulatory mechanisms are recommended to handle transmission channel bandwidth and operational overhead in energy utility networks. These innovative measures have the potential to transform the fundamental structure of our energy landscape, heralding in unprecedented efficiency and sustainability.

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Reinforcement Learning-Based Control Strategy for Multi-Agent Systems Subjected to Actuator Cyberattacks During Affine Formation Maneuvers

et al. 2023

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Practical Fixed-Time Affine Formation for Multi-Agent Systems With Time-Based Generators

Cited by 14 publications

References 19 publications

Two‐layer leader‐follower optimal affine formation maneuver control for networked unmanned surface vessels with input saturations

Two‐layer leader‐follower optimal affine formation maneuver control for networked unmanned surface vessels with input saturations

The nexus of energy in microgrids: A review on communication barriers in distributed networks auxiliary controls

Reinforcement Learning-Based Control Strategy for Multi-Agent Systems Subjected to Actuator Cyberattacks During Affine Formation Maneuvers

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