Control of Nonlinear Biological Systems by Non-minimal State Variable Feedback

C. James Taylor1, Jean‐Marie Aerts2
1Engineering Department, Lancaster University, Lancaster, UK
2Divison M3–BIORES, Katholieke Universiteit, Leuven, Belgium

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Aerts JM, Van Buggenhout S, Lippens M, Buyse J, Decuypere E, Vranken E, Berckmans D (2003) Active control of the growth trajectory of broiler chickens based on on-line animal responses. Poultry Sci 82:1853–1862

Aerts JM, Gebruers F, Van Camp E, Berckmans D (2008) Controlling horse heart rate as a basis for training improvement. Comput Electron Agric 64:78–84

Alleyne A, Liu R (2000) A simplified approach to force control for electro-hydraulic systems. Control Eng Pract 8:1347–1356

Banks HT, Lewis BM, Tran HT (2007) Nonlinear feedback controllers and compensators: a state-dependent Riccati equation approach. Comput Optim Appl 37:177–218

Chalabi ZS (1992) A generalized optimization strategy for dynamic CO2 enrichment in a greenhouse. Eur J Oper Res 59:308–312

Couroucé A (1999) Field exercise testing for assessing fitness in French standardbred trotters. Vet J 157:112–122

Dorf RC, Bishop RH (2008) Modern control systems, 11th edn. Prentice Hall, New York

Gawthrop PJ, Wang L, Young PC (2007) Continuous-time non-minimal state-space design. Int J Control 80:1690–1697

Gonzalez AH, Perez JM, Odloak D (2009) Infinite horizon MPC with non-minimal state space feedback. J Process Control 19:473–481

Huang YM, Hsu MJ, Lin CH, Wei SH, Chang YJ (2010) The non-linear relationship between muscle voluntary activation level and voluntary force measured by the interpolated twitch technique. Sensors 10:796–807

Jovanov E, O’Donnel Lords A, Raskovic D, Cox P, Adhami R, Andrasik F (2003) Stress monitoring using a distributed wireless intelligent sensor system. IEEE Eng Med Biol Mag 22:49–55

Kettlewell PJ, Mitchell MA, Meeks I (1997) An implantable radio-telemetry system for remote monitoring of heart rate and deep body temperature in poultry. Comput Electron Agric 19:161–175

Kirschbaum MUF, Gross LJ, Pearcy RW (1988) Observed and modelled stomatal responses to dynamic light environments in the shade plant Alocasia macrorrhiza. Plant Cell Environ 11:111–121

Leor-Librach RJ, Bobrovsky BZ, Eliash S, Kaplinsky E (1999) Computer-controlled heart rate increase by isoproterenol infusion: mathematical modeling of the system. Am J Physiol 277:H1478–H1483

Massa GD, Kim HH, Wheeler RM, Mitchell C (2008) Plant productivity in response to led lighting. HortScience 43:1951–1956

Murphy S (2003) Optimal dynamic treatment regimes. J R Stat Soc B 65:331–366

O’Quigley J, Zohar S (2010) Retrospective robustness of the continual reassessment method. J Biopharm Stat 20:1013–1025

Pearcy RW, Gross LJ, He D (1997) An improved dynamic model of photosynthesis for estimation of carbon gain in sunfleck light regimes. Plant Cell Environ 20:411–424

Rao RR, Aufderheide B, Bequette BW (2003) Experimental studies on multiple-model predictive control for automated regulation of hemodynamic variables. IEEE Trans Biomed Eng 50:277–288

Rietmann TR, Stuart AEA, Bernasconi P, Stauffacher M, Auer JA, Weishaupt MA (2004) Assessment of mental stress in warmblood horses: Heart rate variability in comparison to heart rate and selected behavioural parameters. Appl Anim Behav Sci 121–136

Ross SM (1995) Introduction to stochastic dynamic programming. Academic Press, San Diego

Summers D, Cranford JG, Healey BP (2000) Chaos in periodically forced discrete-time ecosystem models. Chaos Solitons Fractals 11:2331–2342

Taylor CJ, Seward DW (2010) Control of a dual-arm robotic manipulator. Nucl Eng Int 55:24–26

Taylor CJ, Shaban EM (2006) Multivariable proportional-integral-plus (PIP) control of the ALSTOM nonlinear gasifier simulation. IEE Proc, Control Theory Appl 153(3):277–285

Taylor CJ, Young PC, Chotai A (1996) PIP optimal control with a risk sensitive criterion. In: UKACC international conference (Control 1996), Exeter, UK

Taylor CJ, Chotai A, Young PC (2000) State space control system design based on non-minimal state-variable feedback: further generalisation and unification results. Int J Control 73:1329–1345

Taylor CJ, Chotai A, Young PC (2001) Design and application of proportional integral plus (PIP) controllers: robust control of the IFAC93 benchmark. Trans Inst Meas Control 3(23):183–200

Taylor CJ, Pedregal DJ, Young PC, Tych W (2007) Environmental time series analysis and forecasting with the captain Toolbox. Environ Model Softw 22(6):797–814

Taylor CJ, Shaban EM, Stables MA, Ako S (2007) Proportional-Integral-Plus (PIP) control applications of state dependent parameter models. Proc Inst Mech Eng, Part I, J Syst Control Eng 221(17):1019–1032

Taylor CJ, Chotai A, Young PC (2009) Nonlinear control by input–output state variable feedback pole assignment. Int J Control 82:1029–1044

Taylor CJ, Chotai A, Burnham KJ (2011) Controllable forms for stabilising pole assignment design of generalised bilinear systems. Electron Lett 47:437–439

Taylor CJ, Young PC, Chotai A (2013) True digital control: statistical modelling and non-minimal state space design. Wiley, Chichester

Thornley JHM (1976) Mathematical models in plant physiology. Academic Press, London

Van Loon K, Guiza F, Meyfroidt G, Aerts JM, Ramon J, Blockeel H, Bruynooghe M, Van den Berghe G, Berckmans D (2010) Prediction of clinical conditions after coronary bypass surgery using dynamic data analysis. J Med Syst 34:229–239

Young PC (2011) Recursive estimation and time series analysis: an introduction for the student and practitioner. Springer, Berlin

Young PC, Behzadi MA, Wang CL, Chotai A (1987) Direct digital and adaptive control by input–output, state variable feedback pole assignment. Int J Control 46:1867–1881

Young PC, McKenna P, Bruun J (2001) Identification of nonlinear stochastic systems by state dependent parameter estimation. Int J Control 74:1837–1857