Ergebnisse für: constrained learning
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This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and ...
This book focuses on the subject area of Network Systems and Control Theory, providing a comprehensive examination of the dynamic behavior of networked systems operating under communication constraints. It introduces innovative iterative learning control strategies that aim to ensure stability, cons...
This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time.Robots have the potential to solve many problems in society, because of their ability to work in dangerous places doing necessary jobs that no one wants or is able to do. On...
Neural Networks have revolutionized the artificial intelligence and machine learning field in recent years, enabling human and even super-human performance on several challenging tasks in a plethora of different applications. Unfortunately, these networks have dozens of millions of parameters and ne...