Neural network prediction model to achieve intelligent control of unbalanced drilling’s underpressure value

Electronic Controller Automatic Test System Based on Intelligent Control Algorithm

“…e power supply program control signal is sent to the program control power supply, so as to realize the power supply of the whole system [10].…”

“…As shown in Figure 6, we assume that a unidirectional signal (V + (0) V, V − (0) 0) starts from z 0 and propagates in the z+ direction. In the t < (l 1 /v) stage, it can be known from formulas (10) and ( 11) that the distribution of the voltage on the transmission line along the z direction is V(z) V 0 e − cz I(z)Z 0 . If the transmission line is an ideal lossless transmission line (R 0, G 0), the propagation constant is c 0 + jω LC √ ; that is, the amplitude of the signal is not attenuated during propagation, and only the phase changes with z.…”

Automatic Intelligent Control System Based on Intelligent Control Algorithm

“…Literature [9] uses a combination of multiagent model and cellular automation model to construct a city dynamic model using geographic information system technology and takes the actual city as an empirical object, which proves that the model has a high degree of credibility. Literature [10] uses bionics to summarize the structural and functional similarities between the ship formation and the biological immune system and combines the multiagent theory with the biological immune system and proposes a new immune multiagent network (IMAN) model and applied it to the cooperative air defense system of the fleet. Literature [11] established a distributed and coordinated multiagent system and applied it to the coordination and optimization of the power system.…”