Application of an adaptive PID controller enhanced by a differential evolution algorithm for precise control of dissolved oxygen in recirculating aquaculture systems

Designing Control Strategies of Aeration System in Biological WWTP

(2020) Robert Piotrowski et al.   Energies

PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks

(2020) Haoqian Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

Delay-independent dual-rate PID controller for a packet-based networked control system

(2019) J. Alcaina et al.   INFORMATION SCIENCES

An improved particle swarm algorithm to optimize PID neural network for pressure control strategy of managed pressure drilling

(2019) He Zhang et al.   NEURAL COMPUTING & APPLICATIONS

Applying hybrid genetic–PSO technique for tuning an adaptive PID controller used in a chemical process

(2019) Eman M. El-Gendy et al.   SOFT COMPUTING

A BP-PID controller-based multi-model control system for lateral stability of distributed drive electric vehicle

(2019) Guoming Huang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Self-adaptive mutation differential evolution algorithm based on particle swarm optimization

(2019) Shihao Wang et al.   APPLIED SOFT COMPUTING

Long‐term forecast of water temperature and dissolved oxygen profiles in deep lakes using artificial neural networks conjugated with wavelet transform

(2019) Ali Saber et al.   LIMNOLOGY AND OCEANOGRAPHY

Automatic carbon dioxide enrichment strategies in the greenhouse: A review

(2018) Yongwei Li et al.   BIOSYSTEMS ENGINEERING

Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems

(2018) Guo-Qiang Zeng et al.   Swarm and Evolutionary Computation

Optimized PID controller for an industrial biological fermentation process

(2018) Omar Khan et al.   JOURNAL OF PROCESS CONTROL

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

(2018) Elham Fijani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID controller in decoupled HVAC system

(2016) Seyed Mohammad Attaran et al.   APPLIED THERMAL ENGINEERING

Analysis the Parameters of the Adaptive Controller for Quality Control of Dissolved Oxygen Concentration

(2016) Robert Piotrowski et al.   Information Technology and Control

An optimal PID controller via LQR for standard second order plus time delay systems

(2016) Saurabh Srivastava et al.   ISA TRANSACTIONS

Supervisory adaptive dynamic RBF-based neural-fuzzy control system design for unknown nonlinear systems

(2013) Chun-Fei Hsu et al.   APPLIED SOFT COMPUTING