Titlebook: Model Predictive Control for AC Motors; Robustness and Accur Yaofei Han,Chao Gong,Jinqiu Gao Book 2022 The Editor(s) (if applicable) and Th

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FEAS

Thirdly, the seldom-focused-on issues such as sampling and delay problems are solved in this book. Overall, this book solves the problems in a systematic and innovative way...Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.978-981-16-8068-7978-981-16-8066-3

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978-981-16-8068-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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https://doi.org/10.1007/978-981-16-8066-3AC motors; model predictive control; robustness; prediction accuracy; sliding mode observers; Open Access

NAUT

On Normative Reinforcement Learning via?Safe Reinforcement Learningts. We analyze some of the difficulties that arise from attempting to represent norms with LTL, provide an algorithm for synthesizing LTL specifications from certain normative systems, and analyze its power and limits with a case study.

IDEAS