Nonlinear model predictive control of Hammerstein and Wiener models using genetic algorithms

IEEE Conference on Control Applications - Proceedings

Volumn , Issue , 2001, Pages 465-469

  Al Duwaish, H ^a   Wasif, Naeem ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CHEMICAL OPERATIONS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; MULTIVARIABLE CONTROL SYSTEMS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS);

CHEMICAL PROCESSES; HAMMERSTEIN MODELS; MODEL PREDICTIVE CONTROL; WIENER MODELS;

PREDICTIVE CONTROL SYSTEMS;

EID: 0035691461     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. An overview of industrial model predictive control technology
2. Model predictive heuristic control: Applications to industrial processes
3. Dynamic matrix control- A computer control algorithm
4. Generalized predictive control. Part 1: The basic algorithm
5. Generalized predictive control part 2: Extension and interpretations
6. Industrial applications of model based predictive control
7. Model predictive control: Theory and practice - A survey
8. Model predictive control: Past, present and future
9. Application of wiener model predictive control (WMPC) to a pH neutralization experiment
10. Use of hammerstein models in identification of nonlinear systems