Self-tuning control of hypotension during ENT surgery using a volatile anaesthetic
Self-tuning control of hypotension during ENT surgery using a volatile anaesthetic
- Author(s): R.K. Millard ; C.R. Monk ; C. Prys-Roberts
- DOI: 10.1049/ip-d.1988.0014
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): R.K. Millard 1 ; C.R. Monk 1 ; C. Prys-Roberts 1
-
-
View affiliations
-
Affiliations:
1: Sir Humphry Davy Department of Anaesthesia, University of Bristol, Bristol, UK
-
Affiliations:
1: Sir Humphry Davy Department of Anaesthesia, University of Bristol, Bristol, UK
- Source:
Volume 135, Issue 2,
March 1988,
p.
95 – 105
DOI: 10.1049/ip-d.1988.0014 , Print ISSN 0143-7054, Online ISSN 2053-793X
The generalised minimum-variance self-tuning controller of Clarke and Gawthrop has been used to regulate induced hypotension (reduced blood pressure) in 34 patients undergoing ENT surgery, by automatic adjustment of the inhaled concentration of the volatile anaesthetic agent isoflurane. The purpose of the investigation was: to assess the use of self-tuning control (STC) as an aid to the anaesthetist in normal clinical situations; to obtain information in an acceptable manner to illuminate the clinical situation and any signal conditioning, sources of outliers, and other possible problems to be met therein; to see to what extent STC compares with manual adjustments by an anaesthetist (10 patients); to provide a basis for the design of a stand alone controller for use in anaesthesia which would enable comparison with other drugs in the same situations; and to provide controlled conditions for measurement of various physiological variables of interest to anaesthetists. In summarising our investigations and experiences from an engineering standpoint the potential of STC methods in clinical applications is indicated, and some ways of improving the performance of our implementation are discussed.
Inspec keywords: adaptive control; self-adjusting systems; chemical variables control; biocontrol
Other keywords:
Subjects: Patient care and treatment; Self-adjusting control systems; Patient care and treatment; Biological and medical control systems; Chemical variables control
References
-
-
1)
- Ydstie, B.E.: `Adaptive control and estimation with forgetting factors', 7th IFAC/IFORS Symposium, p. 1761–1766.
-
2)
- R. Isermann , K.H. Lachmann . Parameter-adaptive control with configuration aids and supervisory functions. Automatica , 625 - 638
-
3)
- H.W. Thomas . Control of time delay systems, Industrial digital control systems.
-
4)
- X.C. Lou , A.S. Willsky , G.C. Verghese . Optimally robust redundancy relations for failure detection in uncertain systems. Automatica , 333 - 344
-
5)
- Shah, S.L.: `RLS estimation schemes for adaptive control', Digest 1986/58, IEE Colloquium: ‘Advances in adaptive control’.
-
6)
- G.C. Goodwin , K.S. Sin . (1984) , Adaptive filtering, prediction and control.
-
7)
- D.W. Clarke . Application of self-tuning control, Industrial digital control systems.
-
8)
- R.K. Millard , P. Hutton , E. Pereira , C. Prys-Roberts . On using a self-tuning controller for blood pressure regulation during surgery in man. Comput. Biol. & Med. , 1 - 18
-
9)
- B. Wittenmark , K.J. Åström . Practical issues in the implementation of self-tuning control. Automatica , 595 - 605
-
10)
- D.W. Clarke , P.J. Gawthrop . Implementation of microprocessor-based self-tuners. Automatica , 233 - 244
-
11)
- H.W. Thomas . (1983) Introduction to digital controllers, Industrial digital control systems.
-
12)
- V. Peterka . Predictor-based self-tuning control. Automatica , 39 - 50
-
13)
- N.T. Smith , H.O. Schwede . The response of arterial pressure to halothane — a systems analysis. Med. Biol. Eng. , 207 - 221
-
14)
- G.F. Franklin , J.D. Powell , M.L. Workman . (1990) , Digital control of dynamic systems.
-
15)
- K.J. Astrom , B. Wittenmark . (1984) , Computer controlled systems—theory and design.
-
16)
- P.C. Young . (1984) , Recursive estimation and time-series analysis.
-
17)
- G.J. Bierman . , Factorization methods for discrete sequential estimation.
-
18)
- D.W. Clarke , P.P. Kanjilal , C. Mohtadi . A generalized LQG approach to self-tuning control, parts 1 and 2. Int. J. Con. , 1509 - 1544
-
19)
- Clarke, D.W.: `Generalized predictive control', Digest 1986/58, IEE Colloquium: ‘Advances in adaptive control’.
-
20)
- Goodwin, G.C., Hill, D.J., Palaniswami, M.: `Towards an adaptive robust controller', 7th IFAC/IFORS Symposium, p. 997–1002, op. cit..
-
21)
- K.J. Åström , P. Eykhoff . (1981) Maximum likelihood and prediction error methods, Trends and progress in system identification.
-
22)
- Millard, R.K., Hutton, P., Monk, C., Pereira, E., Prys-Roberts, C.: `Self-tuning control of blood pressure during surgery', IMEKO Conference on Measurement in Clinical Medicine, 1986, Edinburgh, p. 173–178.
-
23)
- Åström, K.J., Wittenmark, B.: `The self-tuning regulators revisited', 7th IFAC/IFORS Symposium, p. xxv–xxxiii, op. cit..
-
24)
- P.B. Deshpande , R.H. Ash . (1981) , Computer process control.
-
25)
- Young, P.C., Hampton, J.: `New CAPTAIN computer program packages for identification, estimation and signal processing', Digest 1984/19, IEE Colloquium ‘Recent advances in identification and signal processing: part 1’.
-
26)
- V. Strejc , P. Eykhoff . (1981) Least squares and regression methods, Trends and progress in system identification.
-
27)
- A.L. Dexter . Self-tuning control algorithm for single-chip microcomputer implementation. IEE Proc. D Control Theory & Appl. , 5 , 255 - 260
-
28)
- K.J. Åström , J.J. Anton , K.E. Årzén . Expert control. Automatica , 277 - 286
-
29)
- J.B. Slate , L.C. Sheppard . Automatic control of blood pressure by drug infusion. IEE Proc. A , 9 , 639 - 644
-
30)
- M. Kárný , A. Halousková , J. Böhm , R. Kulhavý , P. Nedoma . Design of linear quadratic adaptive control: theory and algorithms for practice. Kybernetika , 1 - 97
-
31)
- V. Strejc . Trends in identification. Automatica , 7 - 21
-
32)
- P.C. Young , G.C. Vansteenkiste . (1978) General theory of modelling for badly defined systems, Modeling, identification and control in environmental systems.
-
33)
- Caines, P.E., Meyn, S.P.: `The zero divisor problem of stochastic adaptive control', 7th IFAC/IFORS Symposium, p. 617–619, op. cit..
-
34)
- D.W. Clarke . Self-tuning control of nonminimum-phase systems. Automatica , 501 - 517
-
35)
- E.I. Eger . (1984) , Isoflurane.
-
36)
- D.M. Hawkins . (1980) , Identification of outliers.
-
37)
- D.W. Clarke , C.J. Harris , S.A. Billings . (1981) ‘Introduction to self-tuning controllers’, , Self-tuning and adaptive control.
-
38)
- R. Isermann . Process fault detection based on modelling and estimation methods—a survey. Automatica , 387 - 404
-
39)
- V. Peterka . A square-root filter for real-time multivariate regression. Kybernetika , 53 - 67
-
40)
- R. Ortega , L. Praly , I.D. Landau . Robustness of discrete-time direct adaptive controllers. IEEE Trans. , 1179 - 1187
-
41)
- K.J. Åström . Theory and applications of adaptive control — a survey. Automatica , 471 - 486
-
42)
- Eykhoff, P.: `Biomedical identification: overview, problems and prospects', 7th IFAC/IFORS Symposium on identification and system parameter estimation, 1985, York , Pergamon, p. 37–44, (preprints).
-
43)
- Hägglund, T.: `Adaptive control of systems subject to large parameter changes', 9th IFAC World Congress, 1984, Budapest, 2, p. 993–998.
-
44)
- Hägglund, T.: `Recursive estimation of slowly time-varying parameters', 7th IFAC/IFORS Symposium, p. 1137–1142.
-
45)
- D.A. Linkens , A.J. Asbury , S.J. Rimmer , M. Menad . Identification and control of muscle-relaxant anaesthesia. IEE Proc. D Control Theory & Appl. , 4 , 136 - 141
-
46)
- D.W. Clarke , P.J. Gawthrop . Self-tuning control. Proc. IEE , 6 , 633 - 640
-
47)
- A.S. Willsky , H.L. Jones . A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems. IEEE Trans. , 108 - 112
-
48)
- Bergmann, S.: `Some improvements for the application of digital parameter-adaptive control algorithms', IEEE Conference on Applications of adaptive and multivariable control, 1982, Hull.
-
49)
- Goodwin, G.C.: `Some observations on robust estimation and control', 7th IFAC/IFORS Symposium, p. 853–860.
-
50)
- Kulhavý, R.: `Restricted exponential forgetting in real-time identification', 7th IFAC/IFORS Symposium, p. 1143–1148.
-
51)
- R.W. Jones , M.T. Tham . (1986) Adaptive control of multivariable chemical processes, Multivariable control for industrial applications.
-
52)
- D.W. Clarke , S. Bennett , D.A. Linkens . (1984) Self-tuning controller design and implementation, Real-time computer control.
-
53)
- P.S. Tuffs , D.W. Clarke . Self-tuning control of offset: a unified approach. IEE Proc. D Control Theory & Appl. , 100 - 110
-
54)
- D.C. Gustafson , A.S. Willsky , J.Y. Wang , M.C. Lancaster , J.H. Triebwasser . ECG/VCG rhythm diagnoses using statistical signal analysis, parts 1 and 2. IEEE Trans. , 344 - 361
-
55)
- P.J. Gawthrop . Self-tuning PID controllers: algorithms and implementation. IEEE Trans. , 201 - 209
-
56)
- K.J. Astrom , B. Wittenmark . On self-tuning regulators. Automatica , 185 - 199
-
57)
- Linkens, D.A.: `Identification of respiratory and cardiovascular systems', 7th IFAC/IFORS Symposium, p. 55–68, op. cit..
-
1)