8 citations · 9 across the 5 of their papers we have counts for
6 papers
Agentic MPC for Semantic Control System Resynthesis
Yuya Miyaoka, Masaki Inoue
While MPC effectively handles structured, diverse, and low-level specifications, it lacks the capability to dynamically incorporate high-level contextual information such as social…
Chat-Driven Optimal Management for Virtual Network Services
Yuya Miyaoka, Masaki Inoue, Kengo Urata +1
This paper proposes a chat-driven network management framework that integrates natural language processing (NLP) with optimization-based virtual network allocation, enabling intuit…
Control Barrier Function for Aligning Large Language Models
Yuya Miyaoka, Masaki Inoue
This paper proposes a control-based framework for aligning large language models (LLMs) by leveraging a control barrier function (CBF) to ensure user-desirable text generation. The…
Chat-Driven Reconfiguration of Model Predictive Control
Yuya Miyaoka, Masaki Inoue, Jos'e M Maestre
Traditional control personalization requires users to understand optimization parameters and provide repetitive numerical feedback, creating significant barriers for non-expert use…
CBF-LLM: Safe Control for LLM Alignment
Yuya Miyaoka, Masaki Inoue
This paper proposes a control-based framework for aligning large language models (LLMs) by leveraging a control barrier function (CBF) to ensure user-desirable text generation. The…
ChatMPC: Natural Language based MPC Personalization
Yuya Miyaoka, Masaki Inoue, Tomotaka Nii
We address the personalization of control systems, which is an attempt to adjust inherent safety and other essential control performance based on each user's personal preferences.…