22 citations · 51 across the 10 of their papers we have counts for
5 papers · 1 filter
Fixed-Time Gradient Flows for Solving Constrained Optimization: A Unified Approach
Xinli Shi, Xiangping Xu, Guanghui Wen +1
The accelerated method in solving optimization problems has always been an absorbing topic. Based on the fixed-time (FxT) stability of nonlinear dynamical systems, we provide a uni…
PID-inspired Continuous-time Distributed Optimization
Meng Tao, Dongdong Yue, Jinde Cao
This paper proposes two novel distributed continuous-time algorithms inspired by PID control to solve distributed optimization problems. The algorithms are referred to as first-ord…
Multi/Single-stage structured zero-gradient-sum approach for prescribed-time optimization
Shuaiyu Zhou, Yiheng Wei, Jinde Cao +1
Prescribed-time convergence mechanism has become a prominent research focus in the current field of optimization and control due to its ability to precisely control the target comp…
Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization
Luyao Guo, Xinli Shi, Jinde Cao +1
This paper proposes a novel CTA (Combine-Then-Adapt)-based decentralized algorithm for solving convex composite optimization problems over undirected and connected networks. The lo…
A RNNs-based Algorithm for Decentralized-partial-consensus Constrained Optimization
Zicong Xia, Yang Liu, Jianlong Qiu +2
This technical note proposes the decentralized-partial-consensus optimization with inequality constraints, and a continuous-time algorithm based on multiple interconnected recurren…