Spiking neural PID controllers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7064 LNCS, Issue PART 3, 2011, Pages 259-267

  Webb, Andrew ^a   Davies, Sergio ^a   Lester, David ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

neural networks; PID controllers; SpiNNaker

Indexed keywords

CONTROL NETWORK; INTEGRAL FUNCTION; NEURAL PID CONTROLLER; PID CONTROLLERS; RESPONSE CURVES; SMALL NETWORKS; SPIKING NEURAL NETWORKS; SPIKING NEURON; SPINNAKER;

CONTROLLERS; DATA PROCESSING; ELECTRIC CONTROL EQUIPMENT; PROPORTIONAL CONTROL SYSTEMS; THREE TERM CONTROL SYSTEMS;

NEURAL NETWORKS;

EID: 81855227155     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24965-5_28     Document Type: Conference Paper

References (11)

1. Dayan, P., Abbott, L.F.: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, 1st edn. The MIT Press (2001)
2. Furber, S., Temple, S.: Neural systems engineering. Journal of The Royal Society Interface 4(13), 193-206 (2007)
3. Gerstner, W., Kistler, W.M.: Spiking Neuron Models, 1st edn. Cambridge University Press (2002)
4. Hodgkin, A.L., Huxley, A.F.: A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of Physiology 117(4), 500-544 (1952)
5. Izhikevich, E.M.: Simple model of spiking neurons. IEEE Transactions on Neural Networks 14(6), 1569-1572 (2003)
6. Izhikevich, E.M.: Which Model to Use for Cortical Spiking Neurons?. IEEE Transactions on Neural Networks 15(5), 1063-1070 (2004)
7. Izhikevich, E.M.: Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience), 1st edn. The MIT Press (2006)
8. Jin, X., Furber, S.B., Woods, J.V.: Efficient modelling of spiking neural networks on a scalable chip multiprocessor, pp. 2812-2819 (June 2008)
9. Rast, A.D., Khan, M.M., Jin, X., Plana, L.A., Furber, S.B.: A universal abstract-time platform for real-time neural networks. In: Proceedings of the 2009 International Joint Conference on Neural Networks, IJCNN 2009, pp. 3378-3385. IEEE Press, Piscataway (2009)
10. Rast, A.D., Jin, X., Galluppi, F., Plana, L.A., Patterson, C., Furber, S.: Scalable event-driven native parallel processing: the SpiNNaker neuromimetic system. In: Proceedings of the 7th ACM International Conference on Computing Frontiers, CF 2010, pp. 21-30. ACM, New York (2010)
11. Shu, H., Pi, Y.: Pid neural networks for time-delay systems. Computers & Chemical Engineering 24(2-7), 859 (2000)