Distributed Robust Continuous-Time Optimization Algorithms for Time-Varying Constrained Cost Functions
This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and constraints in multi-agent systems, particularly those subject to disturbances. By incorporating tools such as log-barrier penalty functions to address...
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| Vydáno v: | International Conference on Control, Mechatronics and Automation (Online) s. 7 - 13 |
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| Jazyk: | angličtina |
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11.11.2024
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| ISSN: | 2837-5149 |
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| Abstract | This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and constraints in multi-agent systems, particularly those subject to disturbances. By incorporating tools such as log-barrier penalty functions to address inequality constraints, an integral sliding mode control for disturbance mitigation is proposed. The algorithm ensures asymptotic tracking of the optimal solution, achieving a tracking error of zero. The convergence of the introduced algorithms is demonstrated through Lyapunov analysis and nonsmooth techniques. Furthermore, the framework's effectiveness is validated through numerical simulations considering two scenarios for the communication networks. |
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| AbstractList | This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and constraints in multi-agent systems, particularly those subject to disturbances. By incorporating tools such as log-barrier penalty functions to address inequality constraints, an integral sliding mode control for disturbance mitigation is proposed. The algorithm ensures asymptotic tracking of the optimal solution, achieving a tracking error of zero. The convergence of the introduced algorithms is demonstrated through Lyapunov analysis and nonsmooth techniques. Furthermore, the framework's effectiveness is validated through numerical simulations considering two scenarios for the communication networks. |
| Author | Ebrahimi, Zeinab Deghat, Mohammad |
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| Snippet | This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and... |
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| SubjectTerms | Convergence Cost function Distributed time-varying optimization disturbances Heuristic algorithms Mechatronics Multi-agent systems Numerical simulation Prevention and mitigation Robustness Sliding mode control time-varying constraints Time-varying systems |
| Title | Distributed Robust Continuous-Time Optimization Algorithms for Time-Varying Constrained Cost Functions |
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