30 citations · 85 across the 13 of their papers we have counts for
14 papers
Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment
Xun Shen, Yuepeng Wang, Akifumi Wachi +13
Dynamic medical treatment requires deciding treatment intensity and intervention timing, while patient states evolve continuously and adverse events may occur between clinical inte…
A Common Lyapunov Matrix Approach to the Exponential Stability of Augmented Primal-Dual Gradient Flow as LPV Systems
Mengmou Li, Lijun Zhu, Masaaki Nagahara
We show that a common Lyapunov matrix exists for the convex combination of two Hurwitz matrices if and only if the intersection of the set of strict Lyapunov matrices for one matri…
Finite-Time Optimization via Scaled Gradient-Momentum Flows
Yu Zhou, Mengmou Li, Masaaki Nagahara
In this paper, we develop a scaled gradient-momentum framework for continuous-time optimization that achieves global finite-time convergence. A state-dependent scaling mechanism is…
A Canonical Structure for Constructing Projected First-Order Algorithms With Delayed Feedback
Mengmou Li, Yu Zhou, Xun Shen +1
This work introduces a canonical structure for a broad class of unconstrained first-order algorithms that admit a Lur'e representation, including systems with relative degree great…
Small-Gain Theorem Based Distributed Prescribed-Time Convex Optimization For Networked Euler-Lagrange Systems
Gewei Zuo, Mengmou Li, Lijun Zhu
In this paper, we address the distributed prescribed-time convex optimization (DPTCO) for a class of networked Euler-Lagrange systems under undirected connected graphs. By utilizin…
Stochastic Optimal Investment Strategy for Net-Zero Energy Houses
Mengmou Li, Taichi Tanaka, A. Daniel Carnerero +5
In this research, we investigate Net-Zero Energy Houses (ZEH), which harness regionally produced electricity from photovoltaic(PV) panels and fuel cells, integrating them into a lo…
Convergence Rate Bounds for the Mirror Descent Method: IQCs, Popov Criterion and Bregman Divergence
Mengmou Li, Khaled Laib, Takeshi Hatanaka +1
This paper presents a comprehensive convergence analysis for the mirror descent (MD) method, a widely used algorithm in convex optimization. The key feature of this algorithm is th…
Distributed Optimal Secondary Frequency Control in Power Networks with Delay Independent Stability
Mengmou Li, Jeremy Watson, Ioannis Lestas
Distributed secondary frequency control for power systems, is a problem that has been extensively studied in the literature, and one of its key features is that an additional commu…
Convergence Rate Bounds for the Mirror Descent Method: IQCs and the Bregman Divergence
Mengmou Li, Khaled Laib, Ioannis Lestas
This paper is concerned with convergence analysis for the mirror descent (MD) method, a well-known algorithm in convex optimization. An analysis framework via integral quadratic co…
Parallel Feedforward Compensation for Output Synchronization: Fully Distributed Control and Indefinite Laplacian
Mengmou Li, Ioannis Lestas, Li Qiu
This work is associated with the use of parallel feedforward compensators (PFCs) for the problem of output synchronization over heterogeneous agents and the benefits this approach…
Distributed Optimization With Event-triggered Communication via Input Feedforward Passivity
Mengmou Li, Lanlan Su, Tao Liu
In this work, we address the distributed optimization problem with event-triggered communication by the notion of input feedforward passivity (IFP). First, we analyze the distribut…
Smooth Dynamics for Distributed Constrained Optimization with Heterogeneous Delays
Mengmou Li, Shunya Yamashita, Takeshi Hatanaka +1
This work investigates the distributed constrained optimization problem under inter-agent communication delays from the perspective of passivity. First, we propose a continuous-tim…
Distributed Resource Allocation over Time-varying Balanced Digraphs with Discrete-time Communication
Lanlan Su, Mengmou Li, Vijay Gupta +1
This work is concerned with the problem of distributed resource allocation in continuous-time setting but with discrete-time communication over infinitely jointly connected and bal…
Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs
Mengmou Li, Graziano Chesi, Yiguang Hong
In this paper, a distributed optimization problem is investigated via input feedforward passivity. First, an input-feedforward-passivity-based continuous-time distributed algorithm…