A nonlinear industrial model predictive controller using integrated PLS and neural net state-space model

Control Engineering Practice

Volumn 9, Issue 2, 2001, Pages 125-133

  Zhao, Hong ^a,c   Guiver, John ^a   Neelakantan, Ramesh ^a   Biegler, Lorenz T ^b  

^a ASPEN TECHNOLOGY INC   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c Tel: +1 281 504 3269 ^*  (United States)

Author keywords

Industrial control; Neural nets; Nonlinear control; Predictive control; State space model

Indexed keywords

MODEL PREDICTIVE CONTROL (MPC) TECHNOLOGIES; NEWTON-TYPE OPTIMIZATION ALGORITHMS;

ALGORITHMS; CONTROL NONLINEARITIES; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; CONTROLLABILITY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; OBSERVABILITY; OPTIMAL CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); STATE SPACE METHODS; UNCERTAIN SYSTEMS;

NONLINEAR CONTROL SYSTEMS;

NEURAL NETWORK;

EID: 0035070257     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(00)00101-5     Document Type: Article

References (20)

1. Pulverized coal fired boiler optimization and emissions control using neural nets and fuzzy logic
2. Fading memory and problem of approximating nonlinear operators with Volterra Series
3. Model predictive control: Past, present and future
4. Effect of recycle structure on distillation tower time constants
5. Multistep, Newton-type control strategies for constrained nonlinear processes
6. Model predictive control: The good, the bad, and the ugly
7. Model predictive control: Past, present and future
8. Model predictive control using Wiener models
9. Application of Wiener model predictive control (WMPC) to an industrial C2-splitter
10. Constraint handling and stability properties of model-predictive control
11. An extension of Newton-type algorithms for nonlinear process control
12. An overview of industrial model predictive control technology
13. An overview of nonlinear model predictive control applications
14. Nonlinear model predictive control: A tutorial and survey
15. State-space nonlinear process modeling: Identification and universality
16. Neural networks in process control: A survey
17. Present status and future needs: The review from Japanese industry
18. NeuCOP II: A nonlinear multivariable process modeling, control and optimization package
19. An identification approach to nonlinear state-space model for industrial multivariable model predictive control
20. Identification approaches for industrial nonlinear model predictive control