COMPARISON OF LINEAR, NONLINEAR AND NEURAL-NETWORK-BASED ADAPTIVE CONTROLLERS FOR A CLASS OF FED-BATCH FERMENTATION PROCESSES

被引:65
|
作者
BOSKOVIC, JD
NARENDRA, KS
机构
[1] YALE UNIV, CTR SYST SCI, DEPT ELECT ENGN, YALE STN, NEW HAVEN, CT 06520 USA
[2] YALE UNIV, DEPT CHEM ENGN, NEW HAVEN, CT 06520 USA
基金
美国国家科学基金会;
关键词
ADAPTIVE CONTROL; BIO CONTROL; NONLINEAR BIOLOGICAL SYSTEMS; NEURAL NETWORKS;
D O I
10.1016/0005-1098(94)00139-A
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Five different control strategies for controlling a complex nonlinear and time-varying fermentation process are compared. The main objective of the paper is to determine conditions under which neural-network-based controllers may prove superior to conventional linear and nonlinear adaptive controllers. Extensive computer simulations were performed under identical conditions using the five methods and were evaluated using the same set of criteria. Neural networks are found to be superior when adequate prior information concerning the dynamics of the process is not available and accuracy and robustness are critical issues.
引用
收藏
页码:817 / 840
页数:24
相关论文
共 50 条
  • [31] Neural Network-Based Adaptive Tracking Control for a Class of Nonlinear Singularly Perturbed Systems
    Wang, Hao
    Yang, Chunyu
    Zhu, Song
    IEEE ACCESS, 2019, 7 : 43205 - 43213
  • [32] Event-based adaptive neural network asymptotic tracking control for a class of nonlinear systems
    Feng, Zhiguang
    Li, Rui-Bing
    Zheng, Wei Xing
    INFORMATION SCIENCES, 2022, 612 : 481 - 495
  • [33] Neural-network-based adaptive robust precision motion control of linear motors with asymptotic tracking performance
    Runze Ding
    Chenyang Ding
    Yunlang Xu
    Xiaofeng Yang
    Nonlinear Dynamics, 2022, 108 : 1339 - 1356
  • [34] Neural-network-based adaptive robust precision motion control of linear motors with asymptotic tracking performance
    Ding, Runze
    Ding, Chenyang
    Xu, Yunlang
    Yang, Xiaofeng
    NONLINEAR DYNAMICS, 2022, 108 (02) : 1339 - 1356
  • [35] Adaptive neural-network-based tracking control strategy of nonlinear switched non-lower triangular systems with unmodeled dynamics
    Zhou, Wanlu
    Niu, Ben
    Xie, Xuejun
    Alsaadi, Fuad E.
    NEUROCOMPUTING, 2018, 322 : 1 - 12
  • [36] Neural network-based adaptive control of a class of uncertain nonlinear systems
    Xiaowu M.
    Huaizhou Z.
    Applied Mathematics and Mechanics, 1997, 18 (1) : 91 - 95
  • [37] Neural network-based adaptive control of a class of uncertain nonlinear systems
    Mu, XW
    Zhang, HZ
    APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 1997, 18 (01) : 91 - 95
  • [38] Fuzzy Logic-Based Adaptive Control of Specific Growth Rate in Fed-Batch Biotechnological Processes. A Simulation Study
    Butkus, Mantas
    Repsyte, Jolanta
    Galvanauskas, Vytautas
    APPLIED SCIENCES-BASEL, 2020, 10 (19):
  • [39] Neural Network-Based State Estimation for a Closed-Loop Control Strategy Applied to a Fed-Batch Bioreactor
    Romoli, Santiago
    Serrano, Mario
    Rossomando, Francisco
    Vega, Jorge
    Ortiz, Oscar
    Scaglia, Gustavo
    COMPLEXITY, 2017,
  • [40] Neural network model-based on-line re-optimisation control of fed-batch processes using a modified iterative dynamic programming algorithm
    Xiong, ZH
    Zhang, J
    CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2005, 44 (04) : 477 - 484