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Modeling and Prediction of Human Behavior
Neural Computation, 1999We propose that many human behaviors can be accurately described as a set of dynamic models (e.g., Kalman filters) sequenced together by a Markov chain. We then use these dynamic Markov models to recognize human behaviors from sensory data and to predict human behaviors over a few seconds time. To test the power of this modeling approach, we report an
Alex Pentland, Andrew Liu
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Model-Free Predictive Control of Motor Drives and Power Converters: A Review
IEEE Access, 2021Mohammad Khalilzadeh +2 more
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Predictive Resilience Modeling
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), 2022openaire +1 more source
Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control
IEEE/CAA Journal of Automatica Sinica, 2022Shen Li 0001 +2 more
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Simulation-based performance evaluation of model predictive control for building energy systems
Applied Energy, 2021Sen Huang, Yashen Lin, Xu Ma
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Model predictive control: Recent developments and future promise
Automatica, 2014David Q Mayne
exaly
Constrained model predictive control: Stability and optimality
Automatica, 2000D Q Mayne, J B Rawlings
exaly
An improved approach for constrained robust model predictive control
Automatica, 2002JOSÉ C Geromel, Manfred Morari
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