Results 291 to 300 of about 1,308,678 (317)
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Modeling and Prediction of Human Behavior

Neural Computation, 1999
We 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
openaire   +2 more sources

Model-Free Predictive Control of Motor Drives and Power Converters: A Review

IEEE Access, 2021
Mohammad Khalilzadeh   +2 more
exaly  

Predictive Resilience Modeling

2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), 2022
openaire   +1 more source

Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control

IEEE/CAA Journal of Automatica Sinica, 2022
Shen Li 0001   +2 more
openaire   +1 more source

Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective

Renewable and Sustainable Energy Reviews, 2021
Sicheng Zhan, Adrian Chong
exaly  

Constrained model predictive control: Stability and optimality

Automatica, 2000
D Q Mayne, J B Rawlings
exaly  

An improved approach for constrained robust model predictive control

Automatica, 2002
JOSÉ C Geromel, Manfred Morari
exaly  

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