A survey on analysis and design of model-based fuzzy control systems
G Feng - IEEE Transactions on Fuzzy systems, 2006 - ieeexplore.ieee.org
Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …
Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay
An optimal PID and an optimal fuzzy PID have been tuned by minimizing the Integral of Time
multiplied Absolute Error (ITAE) and squared controller output for a networked control …
multiplied Absolute Error (ITAE) and squared controller output for a networked control …
Optimal tuning of PID controller in time delay system: A review on various optimization techniques
T George, V Ganesan - Chemical Product and Process Modeling, 2022 - degruyter.com
The processes which contain at least one pole at the origin are known as integrating
systems. The process output varies continuously with time at certain speed when they are …
systems. The process output varies continuously with time at certain speed when they are …
Neural PID control of robot manipulators with application to an upper limb exoskeleton
In order to minimize steady-state error with respect to uncertainties in robot control,
proportional-integral-derivative (PID) control needs a big integral gain, or a neural …
proportional-integral-derivative (PID) control needs a big integral gain, or a neural …
[PDF][PDF] Fuzzy PID controllers: An overview
The aim of this study is to examine various studies on fuzzy PID controllers in literature and
to classify these fuzzy controllers into categories. There exist three major categories: Direct …
to classify these fuzzy controllers into categories. There exist three major categories: Direct …
Optimal PID-type fuzzy logic controller for a multi-input multi-output active magnetic bearing system
The performance of the fuzzy controllers depends highly on the proper selection of some
design parameters which is usually tuned iteratively via a trial and error process based …
design parameters which is usually tuned iteratively via a trial and error process based …
A multi-crossover genetic approach to multivariable PID controllers tuning
WD Chang - Expert systems with applications, 2007 - Elsevier
In this paper, we will propose a modified crossover formula in genetic algorithms (GAs), and
use this method to determine PID controller gains for multivariable processes. It is well …
use this method to determine PID controller gains for multivariable processes. It is well …
High-fidelity hexarot simulation-based motion platform using fuzzy incremental controller and model predictive control-based motion cueing algorithm
The real vehicle motion signals cannot be applied for the simulation-based motion platforms
(SBMPs) due to the restricted workspace of the SBMPs. The motion cueing algorithms …
(SBMPs) due to the restricted workspace of the SBMPs. The motion cueing algorithms …
A new gantry-tau-based mechanism using spherical wrist and model predictive control-based motion cueing algorithm
The 3 degree-of-freedom Gantry-Tau manipulator with the addition of the spherical wrist
mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion …
mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion …
A saturation-based tuning method for fuzzy PID controller
XG Duan, H Deng, HX Li - IEEE Transactions on Industrial …, 2012 - ieeexplore.ieee.org
In this paper, a saturation-based tuning method for fuzzy proportional-integral-derivative
(PID) controller is proposed. The key feature is that this tuning method adopts an inherent …
(PID) controller is proposed. The key feature is that this tuning method adopts an inherent …