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math.OC2026
Identification with Orthogonal Basis Functions: Convergence Speed, Asymptotic Bias, and Rate-Optimal Pole Selection
Jiayun Li, Yiwen Lu, Yilin Mo +1
This paper is concerned with performance analysis and pole selection problem in identifying linear time-invariant (LTI) systems using orthogonal basis functions (OBFs), a system id…
math.OC2025
Automated algorithm design for convex optimization problems with linear equality constraints
Ibrahim K. Ozaslan, Wuwei Wu, Jie Chen +2
Synthesis of optimization algorithms typically follows a {\em design-then-analyze\/} approach, which can obscure fundamental performance limits and hinder the systematic developmen…
math.OC2024
Coordinated Multi-Agent Patrolling with State-Dependent Cost Rates: Asymptotically Optimal Policies for Large-Scale Systems
Jing Fu, Zengfu Wang, Jie Chen
We study a large-scale patrol problem with state-dependent costs and multi-agent coordination.We consider heterogeneous agents, rather general reward functions, and the capabilitie…