PID Tuning as a Multiobjective Optimization Problem
JD Rojas, O Arrieta, R Vilanova - … Controller Tuning: With a Multiobjective …, 2021 - Springer
… method transforms the multiobjective cost function into a single function using the scalarization
method … This section presents two examples on how to use the gathered data from the …
method … This section presents two examples on how to use the gathered data from the …
[图书][B] Industrial PID controller tuning
JD Rojas, O Arrieta, R Vilanova - 2021 - Springer
… 6 to illustrate the multi-objective approach. Time-delays can often be … the methodology to
tune PID controllers as a MOO problem. Throughout the book, several industrial examples are …
tune PID controllers as a MOO problem. Throughout the book, several industrial examples are …
[PDF][PDF] Design of Optimal Backstepping Control for a Wind Power Plant System Using the Adaptive Weighted Particle Swarm Optimization.
E Chetouani, Y Errami, A Obbadi… - International Journal of …, 2021 - inass.org
… The NNC is also used to determine the Backstepping constants for a … problems, and adaptability
for single and multi-objective … is utilized in conjunction with the PSO to automatically tune …
for single and multi-objective … is utilized in conjunction with the PSO to automatically tune …
Fuzzy logic based multi-objective optimization of active suspension system of 4x4 in-wheel motor driven electrical vehicle
Ö Bingül - 2021 - search.proquest.com
… , the PID controller has been the most simple and successful … There are lots of methods for
tuning PID controllers, such as … methods solve the multiobjective optimization problems by …
tuning PID controllers, such as … methods solve the multiobjective optimization problems by …
… for multi-carrier energy systems including various energy converters by multi-objective information gap decision theory and enhanced directed search domain method
S Rahmani, N Amjady - Energy conversion and management, 2019 - Elsevier
… The probabilistic and stochastic programming methods use … may not be an easy task. In
addition, the probabilistic … Thus, IGDT can mitigate the fine-tuning problem of RO methods …
addition, the probabilistic … Thus, IGDT can mitigate the fine-tuning problem of RO methods …
[HTML][HTML] Distributed deep reinforcement learning-based multi-objective integrated heat management method for water-cooling proton exchange membrane fuel cell
J Li, Y Li, T Yu - Case Studies in Thermal Engineering, 2021 - Elsevier
… -free control algorithm, neural network control (NNC) methods … [18] proposed a robust PID
controller which models the PEMFC … The demonstration sample in this paper is the result of the …
controller which models the PEMFC … The demonstration sample in this paper is the result of the …
Multiobjective Optimization
JD Rojas, O Arrieta, R Vilanova - … Controller Tuning: With a Multiobjective …, 2021 - Springer
… using the same methodology as in the NNC case. This … the advantages of using a multiobjective
problem approach is its … algorithm (as a tuning rule for PID controllers, for example) that …
problem approach is its … algorithm (as a tuning rule for PID controllers, for example) that …
Application of the Multiobjective Approach
JD Rojas, O Arrieta, R Vilanova - … Controller Tuning: With a Multiobjective …, 2021 - Springer
… benchmark problem with the presented methodology and … WS method, 37.4 min using the
NBI while the NNC method took … is a clear example of one of the many advantages of using a …
NBI while the NNC method took … is a clear example of one of the many advantages of using a …
A novel robust adaptive sliding mode control using stochastic gradient descent for PEMFC power system
MY Silaa, A Bencherif, O Barambones - International Journal of Hydrogen …, 2023 - Elsevier
… It is widely used in control systems because of its easy-to-… an NNC is a smart control method
that is widely used in control … is proposed to control the airflow by adjusting the voltage of the …
that is widely used in control … is proposed to control the airflow by adjusting the voltage of the …
A multi-objective energy coordinative and management policy for solid oxide fuel cell using triune brain large-scale multi-agent deep deterministic policy gradient
J Li - Applied Energy, 2022 - Elsevier
… In summary, there is an urgent need for a coordinative SOFC … of an optimization algorithm
and PID control algorithm has been … By adjusting the coefficients of controllers with different …
and PID control algorithm has been … By adjusting the coefficients of controllers with different …