Search Results - "Continuous-time subgradient algorithm"

Fixed-Time Projection Algorithm for Distributed Constrained Optimization on Time-Varying Digraphs.

Authors: Chen, Gang Yang, Qing Song, Yongduan et al.

Source: IEEE Transactions on Automatic Control. Jan2022, Vol. 67 Issue 1, p390-397. 8p.

Subject Terms: CONSTRAINED optimization, DISTRIBUTED algorithms, COST functions, LAGRANGIAN points, LAGRANGIAN functions, CONVEX functions

Continuous-Time Distributed Subgradient Algorithm for Convex Optimization with General Constraints

Authors: Yanan Zhu Wenwu Yu Guanghui Wen et al.

Subject Terms: Automation engineering, Autonomous agents and multiagent systems, Continuous-time subgradient algorithm, distributed convex optimization, multiagent systems, nonsmooth analysis

Relation: 10779/rmit.27526980.v1

Availability: https://figshare.com/articles/journal_contribution/Continuous-Time_Distributed_Subgradient_Algorithm_for_Convex_Optimization_with_General_Constraints/27526980

Continuous-Time Distributed Subgradient Algorithm for Convex Optimization With General Constraints.

Authors: Zhu, Yanan Yu, Wenwu Wen, Guanghui et al.

Source: IEEE Transactions on Automatic Control. Apr2019, Vol. 64 Issue 4, p1694-1701. 8p.

Subject Terms: *MATHEMATICAL optimization, *ALGORITHMS, NONSMOOTH optimization, CONVEX functions, NUMERICAL analysis

Continuous-Time Algorithm for Approximate Distributed Optimization With Affine Equality and Convex Inequality Constraints.

Authors: Jiang, Xinrui Qin, Sitian Xue, Xiaoping

Source: IEEE Transactions on Systems, Man & Cybernetics. Systems; Sep2021, Vol. 51 Issue 9, p5809-5818, 10p

Subject Terms: DISTRIBUTED algorithms, ALGORITHMS, CONVEX functions, CONTINUOUS functions, POINT set theory, APPROXIMATION algorithms

A Distributed Continuous-Time Algorithm for Nonsmooth Constrained Optimization.

Authors: Chen, Gang Yang, Qing Song, Yongduan et al.

Source: IEEE Transactions on Automatic Control; Nov2020, Vol. 65 Issue 11, p4914-4921, 8p

Subject Terms: CONSTRAINED optimization, NONSMOOTH optimization, SUBGRADIENT methods, DISTRIBUTED algorithms, COST functions, ALGORITHMS

Distributed algorithms for solving the convex feasibility problems.

Authors: Lu, Kaihong Jing, Gangshan Wang, Long

Source: SCIENCE CHINA Information Sciences; Aug2020, Vol. 63 Issue 8, p1-3, 3p

Nonsmooth Riemannian Optimization with Applications to Sphere Packing and Grasping.

Authors: Thoma, M. Morari, M. Allgüwer, F. et al.

Source: Lagrangian & Hamiltonian Methods for Nonlinear Control 2006; 2007, p29-45, 17p

Lagrangian and Hamiltonian Methods For Nonlinear Control 2006 : Proceedings From the 3rd IFAC Workshop, Nagoya, Japan, July 2006

Authors: Francesco Bullo Kenji Fujimoto

Resource Type: eBook.

Subjects: Control engineering, Robotics, Automation, System theory, Control theory

Categories: TECHNOLOGY & ENGINEERING / Electrical, SCIENCE / System Theory