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Using the model of a pellet coating processes it will be shown that discrepancy based control can be successfully applied for control of systems of population balances.
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A humanoid robot with the proposed voice-based control can be controlled through voice commands by authenticated users.
Price-based control can be combined with direct control options in a more comprehensive DSM portfolio design problem.
As an example, the first rule of fuzzy-based control can be defined as follows: begin{aligned}&hbox {if}quad (s_5 /s_{5M}, hbox {is NB} quad hbox {and}quad ({s_6 /s_{6M} hbox {is NB}})quad hbox {then}nonumber &quad quad (hbox {FSM is NB}).
On another hand, the goal is also to assess whether the cognition-based control can be correctly performed in a way comparable to traditional control systems.
The blood glucose target for model-based control can be readily adjusted and could thus provide a method to target specific ranges of blood glucose concentrations, without increasing the risk of hypoglycemia.
Examples of earlier research investigations using fuzzy logic based feedback control can be found in Diao et al. [9], Wei et al. [11], Chan and Chu [12], Wei et al. [14], Wei et al. [60], Tian et al. [20], Rao et al. [21].
Accordingly, thermal energy management based on microfluidic control can be extended to various high power electronics for application.
Experiment results of stead engine operation shows that the hydraulic electronic unit injector system based on PID control can be satisfied with the engine operation demand.
Product based run-to-run control can be applied to improve the process capability.
The proposed strategy based on the predictive control can be simultaneously used to control the active and reactive power of the Rotor Side Convertor (RSC) as well as damping controller design for SCESS and SSSC.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com