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Comparsion between classic PID,fuzzy and fuzzy PID controllers
In this paper, the performances of fuzzy, fuzzy PID and classic PID controllers are compared
through simulation studies. For this purpose the level control of a two intracting tanks system was
selected. The results showed...
Positioning of EEG electrodes for BCI-FES control system development of knee joint movement for paraplegic
Look up table implementation for IMU error compensation algorithm
Robust controller design for a morphing aircraft based on SRAD
nonlinear temperature control of a batch suspension polymerization reactor
This paper concerns nonlinear temperature control of a batch polymerization reactor where suspension polymerization of methyl methacrylate takes place.
Fuzzy self-tuning PID control of an unstable continuous stirred tank reactor
In this paper, a fuzzy self tuning PID controller for unstable continuous stirred tank reactor is proposed. The essential idea is the on-line controller\\\\\\'s gain tuning based on the error pattern (difference of controlled variable and its set...
Adaptive system control with PID neural networks
In this paper, PID neural network, which is an adaptive controller, has analyzed and compared with two other conventional PID algorithms through computer simulation and experimental study. Cancellation and pole placement ...
PID Control of Inverted Pendulum Using Particle Swarm Optimization (PSO) Algorithm
One of the most important problems today is robotics and its control, due to the vast Application of inverted pendulum in robots. In this paper, by using a combination of “PSO” Algorithms, we have tired to optimally control ...