H Yu, M Krstic - 2022 - Springer
This book explores the development of PDE (partial differential equation) backstep**
controllers for the suppression of stop-and-go instabilities and oscillations in congested …

[HTML][HTML] A model-based deep reinforcement learning approach to the nonblocking coordination of modular supervisors of discrete event systems

J Yang, K Tan, L Feng, Z Li - Information Sciences, 2023 - Elsevier
Modular supervisory control may lead to conflicts among the modular supervisors for large-
scale discrete event systems. The existing methods for ensuring nonblocking control of …

Controlled markov processes with safety state constraints

M El Chamie, Y Yu, B Açıkmeşe… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper considers a Markov decision process (MDP) model with safety state constraints,
which specify polytopic invariance constraints on the state probability distribution (pd) for all …

Symbolic optimal control

G Reissig, M Rungger - IEEE Transactions on Automatic …, 2018 - ieeexplore.ieee.org
We present novel results on the solution of a class of leavable, undiscounted optimal control
problems in the minimax sense for nonlinear, continuous-state, discrete-time plants. The …

Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer

MP Chapman, T Risom, AJ Aswani… - PLoS computational …, 2019 - journals.plos.org
Drug resistance in breast cancer cell populations has been shown to arise through
phenotypic transition of cancer cells to a drug-tolerant state, for example through epithelial …

Scalable Timed-Automata Models for Traffic Light Control Systems: Challenges and Solutions in Formal Verification

A Kamput, C Dechsupa, W Vatanawood… - IEEE Access, 2024 - ieeexplore.ieee.org
Modeling and verification are crucial in designing traffic light control systems, guaranteeing
these systems meet desired operational properties and handle dynamic traffic conditions …