Incremental polynomial model-controller network: a self-organising nonlinear controller
Incremental polynomial model-controller network: a self-organising nonlinear controller
- Author(s): E. Ronco and P. J. Gawthrop
- DOI: 10.1049/ip-cta:19990720
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): E. Ronco 1 and P. J. Gawthrop 1
-
-
View affiliations
-
Affiliations:
1: Centre for System and Control, Department of Mechanical Engineering, University of Glasgow, UK
-
Affiliations:
1: Centre for System and Control, Department of Mechanical Engineering, University of Glasgow, UK
- Source:
Volume 146, Issue 6,
November 1999,
p.
527 – 534
DOI: 10.1049/ip-cta:19990720 , Print ISSN 1350-2379, Online ISSN 1359-7035
An `incremental polynomial model-controller network' (IPMCN) is introduced. Smooth control switching is obtained from the use of odd polynomial controllers. The decomposition of the operating space, together with the construction of the network, is achieved on-line while controlling the system. The performance and robustness of this scheme are illustrated through various simulations.
Inspec keywords: adaptive control; robust control; model reference adaptive control systems; nonlinear control systems; control system synthesis; MIMO systems
Other keywords:
Subjects: Control system analysis and synthesis methods; Multivariable control systems; Self-adjusting control systems; Nonlinear control systems; Stability in control theory
References
-
-
1)
- GAWTHROP, P.J., RONCO, E.: `Local model networks and self-tuning predictive control', IEEE Mediterranean symposium on New Directions in Control and Automation, 1996, Melerne Beach, Crete.
-
2)
- G.H. GOLUB , C.F. VAN LOAN . (1989) , Matrix Computations.
-
3)
- J.S. SHAMMA , M. ATHANS . Gain scheduling: potential hazards and possible remedies. IEEE Control. Syst. Mag. , 3 , 101 - 107
-
4)
- H. UNBEHAUEN , G.P. RAO . (1987) , Identification of continuous systems.
-
5)
- A.S. MORSE , D.Q. MAYNE , G.C. GOODWIN . Applications of hysteresis switching in parameter adaptive control. IEEE Trans. , 9 , 1343 - 1354
-
6)
- K.S. NARENDRA , J. BALAKRISHNAN , M.K. CILIZ . Adaptation and learning using multiple models switching and tuning. IEEE Control. Syst. Mag. , 3 , 37 - 51
-
7)
- RONCO, E.: `Incremental polynomial controller networks: two self-organising non-linear controllers', 1997, PhD thesis, Faculty of Mechanical Engineering, University of Glasgow, (available at http://www.ee.usyd.edu.au/~ericr/pub).
-
8)
- S.R. WELLER , G.C. GOODWIN . Hysteresis switching adaptive control of linear multivariable systems. IEEE Trans. , 7 , 1360 - 1375
-
9)
- T.A. JOHANSEN , B.A. FOSS . A narmax model representation for adaptive control based on local model. Model. Identif. Control. , 1 , 25 - 39
-
10)
- RONCO, E., GAWTHROP, P.J.: `Incremental polynomial model-controller network: a self organising non-linear controller', Technical report CSC-97011, 1997, (Draft available at http://www.ee.usyd.edu.au/~ericr/pub).
-
11)
- P.C. YOUNG . Parameter estimation for continuous-time models: a survey. Automatica , 1 , 23 - 39
-
12)
- BILLINGS , CHEN . Orthogonal least-squares methods and their application to non-linear system-identification. Int. J. Control , 1873 - 1896
-
13)
- K.S. NARENDRA , J. BALAKRISHAN . Adaptive control using multiple models. IEEE Trans. , 2 , 171 - 187
-
14)
- J.S. SHAMMA , M. ATHANS . Analysis of gain scheduled control for nonlinear plants. IEEE Trans. , 898 - 907
-
15)
- T.A. JOHANSEN , B.A. FOSS . Constructing NARMAX models using ARMAX models. Int. J. Control. , 1125 - 1153
-
16)
- R.H. MIDDLETON , G.C. GOODWIN , D.J. HILL , D.Q. MAYNE . Design issues in adaptive control. IEEE Trans. , 1 , 50 - 58
-
17)
- T. POGGIO , F. GIROSI . Networks for approximation and learning. Proc. IEEE , 1481 - 1497
-
18)
- RONCO, E., GAWTHROP, P.J.: `Incremental model reference adaptive polynomial controllers network', Proceedings of the IEEE conference on Decision and Control (CDC'97), 1997, (draft available at http://www.ee.usyd.edu.au/~ericr/pub).
-
19)
- D. LEITH , W.E. LEITHEAD . An analytic framework for blended multiple model systems using linear local models. Int. J. Control , 7 , 605 - 619
-
20)
- A.S. MORSE . Toward a unified theory of parameter adaptive control-tunability. IEEE Trans. , 9 , 1002 - 1012
-
21)
- G.A. CARPENTER , S. GROSSBERG . The art of adaptive pattern recognition by a self-organising neural network. IEEE Trans. Comput. , 3 , 77 - 88
-
1)
Related content
