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03/17/2023
A Policy Iteration Approach for Flock Motion Control
The flocking motion control is concerned with managing the possible conf...
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research
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03/17/2023
A Data-Driven Model-Reference Adaptive Control Approach Based on Reinforcement Learning
Model-reference adaptive systems refer to a consortium of techniques tha...
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03/17/2023
An Adaptive Fuzzy Reinforcement Learning Cooperative Approach for the Autonomous Control of Flock Systems
The flock-guidance problem enjoys a challenging structure where multiple...
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03/15/2023
Real-Time Measurement-Driven Reinforcement Learning Control Approach for Uncertain Nonlinear Systems
The paper introduces an interactive machine learning mechanism to proces...
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08/05/2021
Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft
The control problem of the flexible wing aircraft is challenging due to ...
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08/05/2021
Responding to Illegal Activities Along the Canadian Coastlines Using Reinforcement Learning
This article elaborates on how machine learning (ML) can leverage the so...
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04/01/2021
Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study
A data-driven computational heuristic is proposed to control MIMO system...
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04/01/2021