Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Understanding networks of computing chemical droplet neurons based on information flow
In this paper, we present general methods that can be used to explore the information
processing potential of a medium composed of oscillating (self-exciting) droplets. Networks …
processing potential of a medium composed of oscillating (self-exciting) droplets. Networks …
Nonlinear system identification and control based on modular neural networks
A new approach for nonlinear system identification and control based on modular neural
networks (MNN) is proposed in this paper. The computational complexity of neural …
networks (MNN) is proposed in this paper. The computational complexity of neural …
Estimation of Sporulated Cell Concentration of Bacillus thuringiensis in a Batch Biochemical Reactor via Simple State Observers
This paper presents a contrast of two different observation strategies viz a nonlinear
observer and a classical extended Luenberger observer applied to a bioreactor system for …
observer and a classical extended Luenberger observer applied to a bioreactor system for …
A neural observer with time-varying learning rate: Analysis and applications
In this paper, a reduced order neural observer (RONO) with a time-varying learning rate is
proposed. The proposed scheme is based on a discrete-time recurrent high order neural …
proposed. The proposed scheme is based on a discrete-time recurrent high order neural …
State estimation by artificial neural networks in a continuous bioreactor
A based neural networks state observer to estimate biomass, substrate and methane in a
continuous anaerobic reactor is introduced in this paper. The observer is designed from a …
continuous anaerobic reactor is introduced in this paper. The observer is designed from a …
Critical evaluation of non-linear filter configurations for the state estimation of Continuous Stirred Tank Reactor
A systematic approach has been attempted to design a non-linear observer to estimate the
states of a non-linear system. The neural network based state filtering algorithm proposed by …
states of a non-linear system. The neural network based state filtering algorithm proposed by …
PSO hybrid intelligent inverse optimal control for an anaerobic process
This paper proposes a hybrid intelligent inverse optimal control for trajectory tracking based
on a neural observer and a fuzzy supervisor for an anaerobic digestion process, in order to …
on a neural observer and a fuzzy supervisor for an anaerobic digestion process, in order to …
Neuro-fuzzy control strategy for methane production in an anaerobic process
In this paper, a neuro-fuzzy control strategy composed by a neural observer and fuzzy
supervisors for an anaerobic digestion process is proposed in order to maximize methane …
supervisors for an anaerobic digestion process is proposed in order to maximize methane …
Integrated hybrid intelligent control scheme for methane production in an anaerobic process
An integrated hybrid intelligent control strategy for an anaerobic digestion process is
proposed in order to maximize methane production. The structure of this strategy is as …
proposed in order to maximize methane production. The structure of this strategy is as …
Hybrid Intelligent Inverse Optimal Control forMethane Production in an Anaerobic Process
Sažetak Anaerobic processes are very attractive because of their waste treatment properties
and their capacity for transforming waste materials in order to generate methane, which can …
and their capacity for transforming waste materials in order to generate methane, which can …