On the other hand, the UEs who have good SINR are more likely to be in a non-feedback state (NFB state).
In Adjust feedback state, the algorithm tries to eliminate the impact of out-of-date feedback on its state.
In the Collect feedback state, the input data items are temporarily buffered to a data structure in cases where the "feedback-full" algorithm requires the data items to be supplied in batch; otherwise they are pipelined to the algorithm.
The optimal control problem is then solved in the time domain, in a state feedback sense, following the philosophy of adaptive critic neural networks.
Even though dynamic programming offers an optimal control solution in a state feedback form, the method is overwhelmed by computational and storage requirements.
Especially, the effects of BPS on time and quality were hard to estimate, as the case company's management stated in a feedback interview about potential estimation problems.
This paper discusses the compensation of the transmission delay in a networked state feedback control system (NCS), which possess a randomly varying transmission delay and uncertain process parameters.
After each transmission, the sender stores the reception status of all packets at all receivers in an M×N state feedback matrix (SFM) (mathbf {F} =,[f_{i,j}], ; forall R_{i} in mathcal {M}, P_{j}in mathcal {N}) such that: f_{i,j} = left{begin{array}{cc} 0 & text{if packet (P_{j}) is received by receiver (R_{i})}, 1 & text{if packet (P_{j}) is missing at receiver (R_{i})}.
Usually, such switches integrate diverse signals that are transmitted through negative feedback loops (which maintain homeostasis and keep cells in a defined state) and positive feedback loops (which mark the rapid evolution between two states) [ 48].
Under consideration of both network-induced delay and the data packet dropout in the transmission, a state feedback controller and a static output feedback controller are constructed, respectively.
