Cheng Wang, Jianxiang Xi, Le Wang, Zhicheng Yao, Jiuan Gao
{"title":"预算约束下奇异群系统的输出编队控制与能量优化策略","authors":"Cheng Wang, Jianxiang Xi, Le Wang, Zhicheng Yao, Jiuan Gao","doi":"10.1016/j.cnsns.2025.109318","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes an energy-optimized output formation control framework for singular swarm systems with dynamic communication topologies, addressing the critical challenge of coordinating energy-constrained multi-agent networks. By integrating constrained equivalent transformation and observability decomposition, we develop a dynamic output feedback protocol featuring a state-dependent formation mapping mechanism. The framework establishes sufficient conditions for leaderless time-varying output formation realization under topology switching, while providing explicit energy feasibility criteria and formation construction constraints. Crucially, a linear matrix inequality-based two-stage optimization method is introduced to determine gain matrices, and the explicit expression of the output formation center function is analytically determined to characterize the swarm’s global motion. Numerical simulation demonstrates the theoretical validity, in which an time-varying regular-octagon output formation along circular trajectories is achieved under the constraint of a given energy budget.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"152 ","pages":"Article 109318"},"PeriodicalIF":3.8000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Output formation control and energy optimization strategies for singular swarm systems under budget constraint\",\"authors\":\"Cheng Wang, Jianxiang Xi, Le Wang, Zhicheng Yao, Jiuan Gao\",\"doi\":\"10.1016/j.cnsns.2025.109318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper proposes an energy-optimized output formation control framework for singular swarm systems with dynamic communication topologies, addressing the critical challenge of coordinating energy-constrained multi-agent networks. By integrating constrained equivalent transformation and observability decomposition, we develop a dynamic output feedback protocol featuring a state-dependent formation mapping mechanism. The framework establishes sufficient conditions for leaderless time-varying output formation realization under topology switching, while providing explicit energy feasibility criteria and formation construction constraints. Crucially, a linear matrix inequality-based two-stage optimization method is introduced to determine gain matrices, and the explicit expression of the output formation center function is analytically determined to characterize the swarm’s global motion. Numerical simulation demonstrates the theoretical validity, in which an time-varying regular-octagon output formation along circular trajectories is achieved under the constraint of a given energy budget.</div></div>\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"152 \",\"pages\":\"Article 109318\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Nonlinear Science and Numerical Simulation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1007570425007270\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425007270","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Output formation control and energy optimization strategies for singular swarm systems under budget constraint
This paper proposes an energy-optimized output formation control framework for singular swarm systems with dynamic communication topologies, addressing the critical challenge of coordinating energy-constrained multi-agent networks. By integrating constrained equivalent transformation and observability decomposition, we develop a dynamic output feedback protocol featuring a state-dependent formation mapping mechanism. The framework establishes sufficient conditions for leaderless time-varying output formation realization under topology switching, while providing explicit energy feasibility criteria and formation construction constraints. Crucially, a linear matrix inequality-based two-stage optimization method is introduced to determine gain matrices, and the explicit expression of the output formation center function is analytically determined to characterize the swarm’s global motion. Numerical simulation demonstrates the theoretical validity, in which an time-varying regular-octagon output formation along circular trajectories is achieved under the constraint of a given energy budget.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.