Furze, j. n., zhu, q. m., hill, j. (2012) 'facilitating description of fuzzy control algorithms by linking online models', presented june 24 26, wuhan, china
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Furze, j. n., zhu, q. m., hill, j. (2012) 'facilitating description of fuzzy control algorithms by linking online models', presented june 24 26, wuhan, china

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Powerpoint presentation of slides given at International Conference of Modelling Identification and Control 2012, Wuhan, China

Powerpoint presentation of slides given at International Conference of Modelling Identification and Control 2012, Wuhan, China

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Furze, j. n., zhu, q. m., hill, j. (2012) 'facilitating description of fuzzy control algorithms by linking online models', presented june 24 26, wuhan, china Furze, j. n., zhu, q. m., hill, j. (2012) 'facilitating description of fuzzy control algorithms by linking online models', presented june 24 26, wuhan, china Presentation Transcript

  • Facilitating description of fuzzy control algorithms by linking online models. James Furze1, Quan Min Zhu1, Feng Qiao2, Jennifer Hill1 1Faculty of Environment and Technology University of the West of England Frenchay Campus, Coldharbour Lane Bristol, BS16 1QY, UK 2Faculty of Information and Control Engineering Shenyang Jianzhu University 9 Hunnan East Road, Hunnan New District Shenyang, 110168, China Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Introduction • What are the variables that we need to model in order to construct algorithms to ordinate the occurrence of plant species? Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Water Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 © View slide
  • Energy Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 © View slide
  • Dynamic Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • 300 000+ Plant Species- what are the categories? • Competitive (C) High potential growth rate, tall stature, vigourous above / below ground • Stress Tolerant (S) Low growth rate, high storage of minerals (not edible), multilayered canopies • Ruderal (R) High growth rate, short life, early onset of reproduction, small stature, various canopy forms • Pure / combined strategies: (C); (C-R); (S); (S-R); (R); (C-S); (C-S-R) Some examples: Competitive Plant Species Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Phalaris arundinacea - Reed Canary Grass Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Chamerion angustifolium - Rosebay Willow Herb Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Epilobium hirsutum - Great Willow Herb Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Petasites hybridus - Butterburr Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Urtica dioica - Stinging Nettle Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Reynoutria japonica - Japanese Knotweed Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Sambucus nigra - Elder Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Pinus sylvestris - Scotts Pine Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Stress Tolerating Species • Species shown specific to the stress they tolerate Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Koeleria macrantha - Crested Hair Grass (Calcium Rich Soils) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Primula veris - Primula (Calcium Rich Soils) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Juncus squarrosus - Heath Rush (Acidic Soils) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Nardus stricta - Mat Grass (Acidic Soils) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Sedum acre - Biting Stonecrop (Very Dry Habitats) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Thymus praecox - Creeping Thyme (Very Dry Habitats) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Carex panicea - Carnation Sedge (Damp Wetland) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Sucissa pratensis - Devils Bit Scabious (Damp Wetland) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Sanicula europaea - Wood Sanicle (Shaded Habitats) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Viola riviana - Dog Violet (Shaded Habitats) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Minuarta verna - Spring Sandwort (Heavy Metal Contaminated Soils) Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Ruderal Species • The most opportunistic! Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Matricaria matricariodes - Pineapple Weed Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Polygonum aviculare - Knotgrass Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Senecio vulgaris - Groundsel Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Stellaria media - Chickweed Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 1. Computer Simulated Competitors, Stress Tolerators, Ruderal Species taken from Bornhofen et al., 2011 Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 2. Global Mean Precipitation July 1961-90 (New et al., 1999) Showing the Distribution of Water on a Global Scale Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 3. Global Mean Temperature July 1961-90 (New et al., 1999) Showing the Distribution of Energy on a Global Scale Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 4. Global Ground Frost Frequency July 1961-90 Showing a Variable causing Disturbance on a Global Scale Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 5. Fuzzy Logic – defined Union of Singletons (Zadeh, 1973) U A yyA /)( Fuzzy singletons are climatic and elevational values Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Table 1. Variable partitioning Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Objectives • Construct Maps of global locations showing topographical / elevation details at high resolution scales sourced from publicly accessible files; • Display climatic data using scales of defined resolution; • Implement Fuzzy Algorithms; • Quantify Plant Strategies; • Model Spatial Distribution of Plant Species with climatic and elevation variables. • Objectives query the distribution of plant strategies amongst more than 300 000 plant species and their individual occurrence. Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 6. Sourcing of elevation data at 1Km resolution from USGS website Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Application of Fuzzy Logic – Basic framework of Rule Base • IF A THEN B • Variables A are climatic or altitude • Consequences B are categorized environments (plant life history strategies 1- 7 inferred through occurrence of individuals in modelled environments sourced from Global Biodiversity Information Facility (Yesson et al., 2007) • IF A1(n) – A1(n) AND A2(n) – A2(n) AND A3(n) – A3(n) AND A4(n) – A4(n) THEN B(n) = E1, …, E7 Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 7. Guyana quarterly precipitation 1961-90 mean at 10-minute (18.5km) resolution. Figure 1 shows example data, where Guyana mean precipitation is 0.75 (January, April, July) 0 – 100 Kg m2 to 200 – 300 Kg m2, and 0.25 (October) 0 – 100 Kg m2 to 300-400 Kg m2. The quantity of precipitation is shown in colours from low (dark blue), to high (dark red). Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 8. Guyana digital elevation data / topography at 30-second (1km) resolution. Figure 2 is a representation of Guyana, situated between latitude 60o – 55o West, longitude 0o-7.5o North with an elevation from 0 – 1500 metres above sea level. Sea level is shown in blue, low elevation is in dark green and low-medium elevation in lighter green to white. Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 9. Fuzzy control algorithm integrating climate variables and digital elevation model data for Guyana IF Variables A = - Temperature = 80-100 % to 80-100 % (A1(5)) - Precipitation = 0.75 x 0-100 Kg m2 (A2(1)) to 200-300 Kg m2 (A2(3)), 0.25 x 0-100 Kg m2 (A2(1)) to 300-400 Kg m2 (A2(4)) - Ground Frost frequency = 0-6 days to 0-6 days (A3(1)) - Altitude = -30-1366 m (A4(1)) to 1366-1500 m (A4(2)) THEN B(51847) = E2 Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Fig. 10. Approximation of Plant Strategy Ordination Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Table 2. Categorisation of environments and plant life history strategies Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Summary • ‘Real life’ examples of plant strategies were shown • Examples of Computer simulated representations of modelled plant strategies were shown • Climatic / Elevation (water – energy dynamic) variables sourced online at increased resolution • Use of fuzzy categorization of singletons to express numerical dispersion of individual occurrences. • Illustration of graphics / online data display via technical computing platform (Matlab R2010a ©) • Prediction of 7 Environments (relevant for 300 000 species ordination) in Global locations enhancing climatic prediction • Future work facilitates 13 categories of life-form (growth habit) and metabolic patterning • Extension to simulation based studies • Formation of novel generational algorithms Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
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Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-3 (1), pp. 28-44. Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 ©
  • Author Contact details: James. N. Furze Faculty of Environment and Technology University of the West of England Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, UK *email: James.Furze@uwe.ac.uk Paper Reference: Furze, J. N., Zhu, Q. M., Qiao, F. and Hill, J. (2012) ‘Facilitating description of fuzzy control algorithms to ordinate plant species by linking online models’, Modelling, Identification and Control (ICMIC), 2012 Proceedings of International Conference on, Vol., No., pp. 933-938. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6260180&contentType =Conference+Publications&queryText%3Dfurze Presented in 2012 at 4th International Conference on Modelling, Identification and Control, Wuhan, China June 24-26 © IEEE