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Afterwards, we propose a control design methodology which leverages Control Barrier Functions (CBFs) for low level control and Model Predictive Control (MPC) policies for high level planning. The ...
In order to improve the control performance of the Cyber-Physical Systems (CPSs), an integrated modelling-control-design trio framework is established in this paper. In the modelling part, CPS has two ...
This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...
An introduction to the open-source LMOS platform and its Kotlin-based Arc framework for building, deploying, and managing cloud-native, multi-agent AI systems.
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
NQLib is a Python library to design noise shaping quantizer for discrete-valued input control.
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