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For the difficulty on implementation of LQR in NCSs with time-variant delays, the Mamdani intelligent logic with LQR controller is addressed.
Besides the intelligent logic, Devshop has a very nice interface that allows you to drag and drop tasks, use context menus and edit all variables in-line (it will dynamically redraw charts etc. – a very rich user experience).
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Thus, The present implementation of intelligent fuzzy logic control on real-time basis is a pioneering work at laboratory scale.
In this study a dynamic model of a HWH system was developed and an intelligent fuzzy logic operating strategy was designed to improve energy efficiency of the system.
In this paper, a novel and unified control approach that combines intelligent fuzzy logic methodology with impulsive control is developed for controlling a class of chaotic systems.
In this paper, a person-delay-based optimization method is proposed for an intelligent TSP logic that enables bus/signal cooperation and coordination among consecutive signals under the Connected Vehicle environment.
Experimental investigation on the proposed combined air conditioning system with the application of intelligent fuzzy logic controller was performed for summer and winter climatic conditions to substantiate the energy-savings capability.
The simulation and experimental results clearly shows that the Intelligent Fuzzy Logic Controller gives a better control without overshoots of liquid flow rate in comparison with conventional PID controller.
The control, optimization and automation of the drilling process are investigated by designing an intelligent fuzzy logic controller in a tracking problem for real-time implementation, by utilizing the closed loop system tracking error and the error rate as the controller inputs and by generating incremental changes for the two process inputs.
Ventilation control methods of tunnels generally include fixed program control, after-feedback control, feed-forward control, feed-forward intelligent fuzzy logic control, etc. [84].
The performance of utilizing bacterial foraging algorithm (BFO) on an intelligent fuzzy logic controller for a unicycle class of differential drive robot on an irregular rough terrain was investigated by Almeshal et al. [15].
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