A PID type fuzzy controller with self-tuning scaling factors
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Optimum design of skeletal structures using imperialist competitive algorithm
Computers and Structures
An error-based on-line rule weight adjustment method for fuzzy PID controllers
Expert Systems with Applications: An International Journal
PID-type fuzzy logic controller tuning based on particle swarm optimization
Engineering Applications of Artificial Intelligence
Brief Swinging up a pendulum by energy control
Automatica (Journal of IFAC)
Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
Engineering Applications of Artificial Intelligence
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By relating to the conventional PID and PID type fuzzy, an optimized PID type fuzzy controller and an optimized PID controller are designed for an inverted pendulum with two outputs. The optimized PID type fuzzy tunes its scaling factors on line. The optimization is done by imperialist competitive algorithm ICA. The simulation results show a better performance in overshoot, settling time, rise time, integral absolute error, and robustness in compared to the conventional and self-tuning designs.