Design of multivariable PID controllers using real-coded population-based extremal optimization
The issue of designing and tuning an effective and efficient multivariable PID controller for a
multivariable control system to obtain high-quality performance is of great theoretical …
multivariable control system to obtain high-quality performance is of great theoretical …
Binary-coded extremal optimization for the design of PID controllers
Abstract Design of an effective and efficient PID controller to obtain high-quality
performances such as high stability and satisfied transient response is of great theoretical …
performances such as high stability and satisfied transient response is of great theoretical …
Evolutionary algorithms based design of multivariable PID controller
MW Iruthayarajan, S Baskar - Expert Systems with applications, 2009 - Elsevier
In this paper, performance comparison of evolutionary algorithms (EAs) such as real coded
genetic algorithm (RGA), modified particle swarm optimization (MPSO), covariance matrix …
genetic algorithm (RGA), modified particle swarm optimization (MPSO), covariance matrix …
[HTML][HTML] Design of cross-coupled nonlinear PID controller using single-objective evolutionary algorithms
The effectiveness of evolutionary algorithms (EAs) such as differential search algorithm
(DSA), Real-Coded genetic algorithm with simulated binary crossover (RGA-SBX), particle …
(DSA), Real-Coded genetic algorithm with simulated binary crossover (RGA-SBX), particle …
A real-coded extremal optimization method with multi-non-uniform mutation for the design of fractional order PID controllers
GQ Zeng, HY Liu, D Wu, LM Li, L Wu, YX Dai… - … Technology and Control, 2016 - itc.ktu.lt
Abstract Design of an effective and efficient fractional order PID (FOPID) controller for an
industrial control system to obtain high-quality performances is of great theoretical and …
industrial control system to obtain high-quality performances is of great theoretical and …
A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization …
As a recently developed optimization method inspired by far-from-equilibrium dynamics of
self-organized criticality, extremal optimization (EO) has been successfully applied to a …
self-organized criticality, extremal optimization (EO) has been successfully applied to a …
Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems
The connection weights parameters play important roles in adjusting the performance of PID
neural network (PIDNN) for complex control systems. However, how to obtain an optimal set …
neural network (PIDNN) for complex control systems. However, how to obtain an optimal set …
Comparative performance analysis of various binary coded PSO algorithms in multivariable PID controller design
In this paper, comparative performance analysis of various binary coded PSO algorithms on
optimal PI and PID controller design for multiple inputs multiple outputs (MIMO) process is …
optimal PI and PID controller design for multiple inputs multiple outputs (MIMO) process is …
Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization
Abstract Design of an effective and efficient fractional order PID (FOPID) controller, as a
generalization of a standard PID controller based on fractional order calculus, for an …
generalization of a standard PID controller based on fractional order calculus, for an …
Covariance matrix adaptation evolution strategy based design of centralized PID controller
MW Iruthayarajan, S Baskar - Expert systems with Applications, 2010 - Elsevier
In this paper, design of centralized PID controller using Covariance Matrix Adaptation
Evolution Strategy (CMAES) is presented. Binary distillation column plant described by …
Evolution Strategy (CMAES) is presented. Binary distillation column plant described by …