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Prediction of temperature and humidity in a naturally ventilated pig building
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Modelling and PIP control design for open top chambers
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Lees, M. J., C. J. Taylor, P. C. Young, and A. Chotai, (1998). Modelling and PIP control design for Open Top Chambers, Control Engineering Practice, 6, 1209-1216.
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On the relationship between GPC and PIP control
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(D.W. Clarke, Ed.), Oxford University Press, Oxford
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Taylor, C .J., P. C. Young and A. Chotai (1994). On the relationship between GPC and PIP control. In: Advances in Model-Based Predictive Control (D.W. Clarke, Ed.), pp. 53-68. Oxford University Press, Oxford.
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Proportional-Integral-Plus (PIP) control of time delay systems
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Taylor, C. J., A. Chotai, P. C. Young, (1998a). Proportional-Integral-Plus (PIP) control of time delay systems, Proc. Inst. of Mech. Engrs, Part 1 - Journal of Systems and Control Engineering, 212(11), 37-48.
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Continuous time Proportional-Integral-Plus (PIP) control with filtering polynomials
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1-4 September, University of Wales, Swansea, Institute of Electrical Engineering, conference publication no. 455
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Taylor, C. J., A. Chotai, and P. C. Young, (1998b). Continuous time Proportional-Integral-Plus (PIP) control with filtering polynomials, UKACC International Conference on Control 98, 1-4 September, University of Wales, Swansea, Institute of Electrical Engineering, conference publication no. 455(2), 1391-1396.
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Experimental investigation of the aggregated dead zone model for longitudinal solute transport in stream channels
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Wallis, S. G., P. C. Young and K. J. Beven (1989). Experimental investigation of the aggregated dead zone model for longitudinal solute transport in stream channels, Proc. Inst. of Civil Engrs, Part 2, 87, 1-22.
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Recursive estimation, forecasting and adaptive control
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Young, P. C. (1989). Recursive estimation, forecasting and adaptive control. In: Control and Dynamic Systems: Advances in Theory and Applications (C.T. Leondes. (Ed).), Vol. 30, pp. 119-166, Academic Press: San Diego.
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Young, P. C. (1993). Time variable and state dependent parameter modelling of nonstationary and nonlinear time series, Chapter 26 in Developments in Time Series, (T Subba Rao, ed.), pp 374-413, Chapman and Hall: London.
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Identification, estimation and control of continuous-time and delta operator systems
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(M. I. Friswell and J. E. Mottershead. (Eds.)), Univ. of Wales: Swansea
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Young, P. C. (1997). Identification, estimation and control of continuous-time and delta operator systems. In: Identification in Engineering Systems (M. I. Friswell and J. E. Mottershead. (Eds.)), pp 1-17, Univ. of Wales: Swansea.
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Identification in Engineering Systems
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Data-based mechanistic modelling of environmental, ecological, economic and engineering systems
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Data-based mechanistic modelling of engineering systems
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Refined instrumental variable methods of recursive time-series analysis: Part III, extensions
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The Active Mixing Volume (AMV): A new concept in modelling environmental systems
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(V. Barnett and K.F. Turkman. (Eds)), J. Wiley: Chichester
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Young, P. C. and M. J. Lees (1993). The Active Mixing Volume (AMV): a new concept in modelling environmental systems. In: Statistics for the Environment (V. Barnett and K.F. Turkman. (Eds)), pp 3-44, J. Wiley: Chichester.
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Identification, estimation and control of continuous-time systems described by delta operator models
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(N.K. Sinha and G.P. Rao. (Eds.)), Kluwer: Dordrecht
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Modelling and PIP control of a glasshouse microclimate
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Young, P. C., M. J. Lees, A. Chotai, W. Tych and Z. Chalabi (1994). Modelling and PIP control of a glasshouse microclimate, Control Eng. Practice, 2, 591-604.
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Simplicity out of complexity: Occam's Razor revisited
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PIP design for δ operator systems: Part 1, SISO systems
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