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This paper presents the design of an intelligent comfort control system by combining the human learning and minimum power control strategies for the heating, ventilating and air conditioning (HVAC) system.
To achieve the highest comfort level for the specific user, a human learning strategy is designed to tune the user's comfort zone, and then, a VAV and minimum power control strategy is proposed to minimize the energy consumption further.
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We derive charge-balanced minimum-power controls for a general phase model using the maximum principle, where the cases with unbounded and bounded control amplitude are examined.
Remarkably, as shown in Figs. 4 and 5, the proposed policy always achieves the minimum power consumption among all control policies.
For schedules that use link rate vectors with variable power control, a minimum power criterion (secondary with a small ε > 0) could also be used to differentiate between multiple link rate vectors with a maximum rate for a specific link.
Some of the topics considered are minimum cost routing [1 3], power control algorithms [4 6], and cross-layer protocol design for energy minimization [7].
To achieve the target of temperature control with minimum power consumption, a simulation-based two-step method for optimal thermal design of multiple compartments is proposed.
The new minimum required transmit power is obtained by multiplying present minimum required transmit power with the transmit power control ratio R TPC as follows: begin{array}rcl@ P_{text{Tx}_text{SU}_text{R}}left(t+1 right) = P_{text{Tx}_text{SU}_text{R}} left(t right) R_{text{TPC}}.
In cooperative communication area, the objective of power minimum and rate maximum is contradictory in power control problem.
In order to guarantee the performance of the worst subchannel, we design a new power control algorithm to maximize the minimum post-detection SINR of all subchannels.
Figure 4 Maximum and minimum SIR (a), throughput (b) over for utility-based power control (dashed lines) and utility-based joint power and receiver control (solid lines).
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