Application of an adaptive PID controller enhanced by a differential evolution algorithm for precise control of dissolved oxygen in recirculating aquaculture systems
出版年份 2021 全文链接
标题
Application of an adaptive PID controller enhanced by a differential evolution algorithm for precise control of dissolved oxygen in recirculating aquaculture systems
作者
关键词
Aquaculture, Dissolved oxygen, Transfer function, DE-RBF-PID controller, Precise tracking control
出版物
BIOSYSTEMS ENGINEERING
Volume 208, Issue -, Pages 186-198
出版商
Elsevier BV
发表日期
2021-06-14
DOI
10.1016/j.biosystemseng.2021.05.019
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
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