Inverting methods for thermal reservoir evaluation of enhanced geothermal system
Enhanced geothermal system (EGS) is considered as a solution for current energy crisis and
environmental pollution; however, thermal reservoir of EGS is difficult to be accurately …
environmental pollution; however, thermal reservoir of EGS is difficult to be accurately …
Interval type-2 fuzzy PID load frequency controller using Big Bang–Big Crunch optimization
E Yesil - Applied Soft Computing, 2014 - Elsevier
This paper proposes an optimization based design methodology of interval type-2 fuzzy PID
(IT2FPID) controllers for the load frequency control (LFC) problem. Hitherto, numerous fuzzy …
(IT2FPID) controllers for the load frequency control (LFC) problem. Hitherto, numerous fuzzy …
Adaptive fuzzy control for a class of stochastic strict feedback high-order nonlinear systems with full-state constraints
N Wang, F Tao, Z Fu, S Song - IEEE Transactions on Systems …, 2020 - ieeexplore.ieee.org
In this article, the problem of adaptive fuzzy control for stochastic high-order nonlinear
systems with full-state constraints of the strict-feedback structure was investigated. The …
systems with full-state constraints of the strict-feedback structure was investigated. The …
Big Bang–Big Crunch optimization based interval type-2 fuzzy PID cascade controller design strategy
T Kumbasar, H Hagras - Information Sciences, 2014 - Elsevier
Fuzzy logic control is a recognized approach for handling the faced uncertainties within
control applications. However, type-1 fuzzy controllers using crisp type-1 fuzzy sets might not …
control applications. However, type-1 fuzzy controllers using crisp type-1 fuzzy sets might not …
Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
In this study, an on-line tuning method is proposed for fuzzy PID controllers via rule
weighing. The rule weighing mechanism is a fuzzy rule base with two inputs namely;“error” …
weighing. The rule weighing mechanism is a fuzzy rule base with two inputs namely;“error” …
[HTML][HTML] Fast tuning of the PID controller in an HVAC system using the big bang–big crunch algorithm and FPGA technology
This article presents a novel technique for the fast tuning of the parameters of the
proportional–integral–derivative (PID) controller of a second-order heat, ventilation, and air …
proportional–integral–derivative (PID) controller of a second-order heat, ventilation, and air …
Type-2 fuzzy model based controller design for neutralization processes
In this study, an inverse controller based on a type-2 fuzzy model control design strategy is
introduced and this main controller is embedded within an internal model control structure …
introduced and this main controller is embedded within an internal model control structure …
Data clustering using big bang–big crunch algorithm
A Hatamlou, S Abdullah, M Hatamlou - Innovative Computing Technology …, 2011 - Springer
Abstract The Big Bang–Big Crunch (BB–BC) algorithm is a new optimization method that is
based on one of the theories of the evolution of the universe namely the Big Bang and Big …
based on one of the theories of the evolution of the universe namely the Big Bang and Big …
Experimental verification and comparison of model predictive, PID and model inversion control in a Penicillium chrysogenum fed-batch process
Within this work a nonlinear model predictive controller (MPC) was implemented in a
Penicillium chrysogenum fed-batch process and compared to a PI (D) and an open loop …
Penicillium chrysogenum fed-batch process and compared to a PI (D) and an open loop …
Self-generated fuzzy systems design using artificial bee colony optimization
In this paper, artificial bee colony (ABC) optimization based methodology is proposed for
automatically extracting Takagi–Sugeno (TS) fuzzy systems with enhanced performance …
automatically extracting Takagi–Sugeno (TS) fuzzy systems with enhanced performance …