1. Distributed finite-time optimization algorithms with a modified Newton–Raphson method.
- Author
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Wang, Dong and Gao, Zhenzhen
- Subjects
- *
OPTIMIZATION algorithms , *NEWTON-Raphson method , *MATRIX inversion , *HESSIAN matrices , *MULTIAGENT systems - Abstract
In this paper, we propose a distributed finite-time optimization protocol for single-integrator continuous-time multi-agent systems, which utilizes a modified Newton–Raphson method. The inverse of Hessian matrix, sign function and the gradient are adopted for the design of the algorithms. The proposed algorithms make agents converge to the network optimizer under any initial state and finite time, respectively. Lyapunov method and the properties of sign function are employed to verify the convergence of the proposed algorithms. Besides, the adaptive method is also considered to avoid complex parameter conditions and centralized parameters. Finally, numerical simulations are provided to testify the presented results. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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