公开(公告)号：US20190394735A1

公开(公告)日：2019-12-26

申请号：US16455452

申请日：2019-06-27

申请人： Linda Patricia Osuna Ibarra ,  David Gómez Gutiérrez ,  Dave Cavalcanti ,  David Arditti Ilitzky

发明人： Linda Patricia Osuna Ibarra ,  David Gómez Gutiérrez ,  Dave Cavalcanti ,  David Arditti Ilitzky

IPC分类号： H04W56/00 ,  H04W24/02 ,  H04L12/26

摘要： Example predictive wireless feedback control systems disclosed herein include a receiver to receive measurements of a controlled system via a first wireless link. Disclosed example systems also include an observer to output estimated values of states of the controlled system based on a state space model that is updated based on the measurements. Disclosed example system further include a predictor to predict future values of the states of the controlled system based on the estimated values of the states, a first latency of the first wireless link and an upper limit of a second latency associated with a second wireless link that is to communicate values of a control signal to an actuator associated with the controlled system. In disclosed examples, the predictor is to output the predicted future values of the states to a controller that is to determine the control signal.

公开(公告)号：US20190332918A1

公开(公告)日：2019-10-31

申请号：US16455457

申请日：2019-06-27

申请人： David Gómez Gutiérrez ,  Linda Patricia Osuna Ibarra ,  Dave Cavalcanti ,  Leobardo Campos Macías ,  Rodrigo Aldana López ,  Humberto Caballero Barragan ,  David Arditti Ilitzky

发明人： David Gómez Gutiérrez ,  Linda Patricia Osuna Ibarra ,  Dave Cavalcanti ,  Leobardo Campos Macías ,  Rodrigo Aldana López ,  Humberto Caballero Barragan ,  David Arditti Ilitzky

IPC分类号： G06N3/04 ,  H04L1/00

摘要： Example wireless feedback control systems disclosed herein include a receiver to receive a first measurement of a target system via a first wireless link. Disclosed example systems also include a neural network to predict a value of a state of the target system at a future time relative to a prior time associated with the first measurement, the neural network to predict the value of the state of the target system based on the first measurement and a prior sequence of values of a control signal previously generated to control the target system during a time interval between the prior time and the future time, and the neural network to output the predicted value of the state of the target system to a controller. Disclosed example systems further include a transmitter to transmit a new value of the control signal to the target system via a second wireless link.