Victor M. Becerra

Publications

Book:

1. F. Garces, V.M. Becerra, C. Kambhampati, K. Warwick. “Strategies for feedback linearisation: a dynamic neural network approach”. Springer-Verlag, London (2003). [ for further information click here ]

Journal articles:

2. C. Bowden, W. Holderbaum, V. M. Becerra. "Strong structural controllability of the multi-link inverted pendulum ". Accepted: IEEE Transactions on Automatic Control, 2011.

3. R. Burzynski, R. Yao, M. Crane and V.M. Becerra. “Space heating and hot water demand analysis of dwellings connected to district heating scheme in UK”. Accepted: Journal of Central South University of Technology, 2011.

4. Julia H. Downes; Mark W. Hammond; Dimitris Xydas; Matthew C. Spencer; Victor M. Becerra; Kevin Warwick; Ben J. Whalley; Slawomir J. Nasuto “Emergence of a Small-World Functional Network in Cultured Neurons”. Accepted: PLoS Computational Biology (2012).

5. M. Spencer, J. Downes, D. Xydas, M.W. Hammond, V.M. Becerra, B. Whalley, K. Warwick, S.J. Nasuto. “Spatio-temporal dependencies in functional connectivity in rodent cortical cultures”. PALADYN Journal of Behavioral Robotics, 2(3), pp. 156-163 (2011).

6. M. C. Spencer , J. H. Downes , D. Xydas , M. W. Hammond, V. M. Becerra , K. Warwick , B. J. Whalley y, and S. J. Nasuto, "Multi Scale Evolving Complex Network Model of Functional Connectivity in Neuronal Cultures". IEEE Transactions on Biomedical Engineering , 59(1), pp. 30-34, 2012.

7. D.Xydas, J.Downes, M.Spencer, M.Hammond, S.Nasuto, B.Whalley, V.Becerra and K.Warwick, "Revealing ensemble state transition patterns in multi-electrode neuronal recordings using hidden Markov models", IEEE Transactions on Neural Systems & Rehabilitation Engineering, 19(4), 345-355, 2011.

8. K.Warwick, D.Xydas, S.J.Nasuto, V.M.Becerra, M.W.Hammond, J.H.Downes, S.Marshall and B.J.Whalley, “Controlling a Mobile Robot with a Biological Brain”, Defence Science Journal, 60(1), 5-14 (2010).

9. J. Deng, V.M. Becerra and R. Stobart. “Input constraints handling in an MPC/feedback linearization scheme”. Int. J. Appl. Math. Comput. Sci., 19(2): 219–232 (2009).

10. Galvao, R. K. H.; Hadjiloucas, S.; Izhac, A.; Becerra, V. M.; Bowen, J. M., "Wiener-System Subspace Identification for Mobile Wireless mm-Wave Networks," IEEE Transactions on Vehicular Technology, 56(4):1935-1948 (2007) [available at IEEEXplore]

11. Galvao, R. K. H.; Izhac, A.; Hadjiloucas, S.; Becerra, V. M.; Bowen, J. W., "MIMO Wiener Model Identification for Large Scale Fading of Wireless Mobile Communications Links,", IEEE Communications Letters, 11(6):513-515, (2007) [available at IEEEXplore]

12. S. Torres, J.A. Méndez, L. Acosta, V.M. Becerra. “On improving the performance in robust controllers for robot manipulators with parametric disturbances”. Control Engineering Practice 15:557-566 (2007) [available at: http://www.sciencedirect.com ]

13. D. Izzo, V. M. Becerra, D. R. Myatt, S. J. Nasuto and J. M. Bishop. “Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories”. Journal of Global Optimization.  38(2):283-296 (2007).

14. T. Froese, S. Hadjiloucas, R.K.H. Galvão, V. M. Becerra and C.J. Coelho “Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms”. Pattern Recognition Letters (2006). 27: 393-407. [available at: http://www.sciencedirect.com ]

15. Z. Ahmida, A. Charef, and V.M. Becerra: “Stabilising solution to a class of nonlinear optimal state tracking problem using radial basis function networks”. International Journal of Applied Mathematics and Computer Science, 15(3):369-381 (2005).

16. V.M. Becerra, R.K.H. Galvao, M. Abou-Seada. “Neural and wavelet network models for financial distress classification”. Data Mining and Knowledge Discovery, 11:35-55 (2005). [available at: http://www.springerlink.com/link.asp?id=vk331789565h7123 ]

17. V.M. Becerra, F. Garces, S. Nasuto and W. Holderbaum. “An efficient parameterization of dynamic neural networks for nonlinear system identification”. IEEE Transactions on Neural Networks, 16(4):  983- 988, (2005). [available at IEEE Xplore ]

18. R. K. H. Galvão, S. Hadjiloucas, V. M. Becerra, J. W. Bowen. “Subspace system identification framework for the analysis of multimoded propagation of THz-transient signals”. Measurement Science and Technology, 16:1037-1053 (2005). [available at http://ej.iop.org/links/q38/cYlpCBWmZ0lUlKE106bH8w/mst5_5_001.pdf ]

19. V.M. Becerra, C.N.J Cage, W.S. Harwin, P.M. Sharkey. “Hardware retrofit and computed torque control of a Puma 560 Robot”. IEEE Control Systems Magazine, 24(5):78-82 (2004). [available at IEEE Xplore ]

20. V. M. Becerra: “Solving optimal control problems with state constraints using nonlinear programming and simulation tools”. IEEE Transactions on Education, 47(3):377-384, (2004). [available at IEEE Xplore ]

21. R.K.H. Galvao, V.M. Becerra, J. Calado and P. Silva: “Nonlinear system identification using linear-wavelet models”. International Journal of Applied Mathematics and Computer Science. 14(2):221-232 (2004). [available at http://matwbn.icm.edu.pl/ksiazki/amc/amc14/amc1423.pdf ]

22. S. Hadjiloucas, R.K.H. Galvao, V.M. Becerra, J.W. Bowen, R. Martini, M. Brucherseifer; H.P.M. Pellemans, P.H. Bolivar, H. Kurz, J.M. Chamberlain. “Comparison of subspace and ARX models of a waveguide's terahertz transient response after optimal wavelet filtering” IEEE Transactions on Microwave Theory and Techniques, 52(10): 2409- 2419 (2004). [available at IEEE Xplore ]

23. R.K.H. Galvao, V.M. Becerra and M. Abou-Seada: “Ratio selection for classification models”. Data Mining and Knowledge Discovery, 8(2):151-170 (2004). [available at: http://www.springerlink.com/link.asp?id=m340332631u68248 ]

24. Z.H. Abu-El-Zeet, V.M. Becerra and P.D. Roberts. “Combined bias and outlier identification in dynamic data reconciliation”. Computers and Chemical Engineering, 26(6), pp. 921-935 (2002). [available at http://www.sciencedirect.com ]

25. Z H Abu-el-zeet, P D Roberts and V.M. Becerra: “Enhancing model predictive control using dynamic data reconciliation”. AIChE Journal. 48(2):324-333 (2002). [available at http://www3.interscience.wiley.com/cgi-bin/abstract/108066311/ABSTRACT ]

26. P D Roberts, V M Becerra : "Optimal control of non-linear hybrid systems under model-reality differences - decomposition and hierarchical structure", Automatica 37:1757-1769 (2001). [available at: http://www.sciencedirect.com ]

27. V M Becerra, P D Roberts, G W Griffiths : "Applying the extended Kalman filter to systems described by nonlinear differential-algebraic equations", Control Engineering Practice 9 (3) : 267-281 (2001). [available at: http://www.sciencedirect.com ]

28. V M Becerra, Z H Abu el zeet, P D Roberts: "Integrating predictive control and economic optimisation", Computing and Control Engineering Journal, 10(5): 198-208 (1999) [available at IEEE Xplore ]

29. V M Becerra, P D Roberts : "Application of a novel optimal control algorithm to a benchmark fed-batch fermentation process", Transactions of the Institute of Measurement and Control, 20(1):11-17 (1998)

30. V M Becerra, P D Roberts, G W Griffiths : "Novel developments in process optimisation using predictive control", Journal of Process Control, 8:117-138 (1998) [available at http://www.sciencedirect.com ]

31. V M Becerra, P D Roberts : "Dynamic integrated system optimisation and parameter estimation for discrete time optimal control of nonlinear systems", International Journal of Control, 63:257-281 (1996)

Book chapters

32. V.M. Becerra, “Optimal Control”. In: The Industrial Electronics Handbook, Control and Mechatronics, Chapter 16. B. Wilamowski and J. Irwin (Eds.). CRC Press, Boca Raton, FL, 2011.

33. K. Warwick, S.J. Nasuto, V.M. Becerra and B.J. Whalley. “Experiments with an in-vitro robot brain”. In: Computing with Instinct, Y. Cai (Ed.), Lecture Notes on Artificial Intelligence, vol. 5897, pp. 1-15, Springer Verlag, 2011.

34. Victor M. Becerra (2008). Optimal control, Scholarpedia, 3(1):5354

35. R.K.H. Galvao, V. M. Becerra and M. Abou-Seada, “Financial ratio selection for distress classification”. In: “Encyclopedia of Data Warehousing and Mining”, J. Wang (Ed.), Idea Group Reference, London, pp. 503-508, (2006).

International Conference papers

36. T. Milthorp, V. Becerra, W. Holderbaum and B. Hutt (2011). “Adaptive recursive control of a load testing frame”. Proc. 2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM). Qingdao, China, 17-19 September 2011, pp. 102-107.

37. V.M. Becerra (2010). “Solving complex optimal control problems at no cost with PSOPT”. Proc. IEEE Multi-conference on Systems and Control, Yokohama, Japan, September 7-10, 2010, pp. 1391-1396.

38. D.Xydas, M.Spencer, J.Downes, M.Hammond, V.Becerra, K.Warwick, B.Whalley and S.Nasuto, "Application of Poisson-Based Hidden Markov Models to In-Vitro Neuronal Data", Proc. IEEE International Conference on Cybernetic Intelligent Systems, Reading, Sept. 2010

39. M.Spencer, D.Xydas, J.Downes, M.Hammond, V.Becerra, K.Warwick, B.Whalley and S.Nasuto,"Investigation of Spatio-Temporal Dependencies in Neuronal Functional Connectivity", Proc. IEEE International Conference on Cybernetic Intelligent Systems, Reading, Sept. 2010

40. S. Hadjiloucas, T. Franklin, V. M. Becerra, G.C. Walker, J. W. Bowen, "Optimising the feedback loop of a millimetre-wave absolute photoacoustic power meter using H-infinity control synthesis", Sensors and their Applications XV, Journal of Physics: Conference Series 178 (2009) 012042.

41. S. Hadjiloucas, G.C. Walker, J. W. Bowen V.M Becerra A. Zafiropoulos and R.K.H. Galvão, ‘High signal to noise ratio THz spectroscopy with ASOPS and signal processing schemes for mapping and controlling molecular and bulk relaxation processes,’ Dielectrics 2009: Measurement Analysis and Applications, Journal of Physics: Conference Series, 183 (2009) 012003.

42. M. Ongkosutjahjo and V.M. Becerra (2008), "Integrating the Utkin Observer with the Unscented Kalman Filter". Proceedings of the 17th IFAC World Congress, Seoul, Korea, July 6-11, 2008, pages 12534-12539.

43. M. Ongkosutjahjo and V.M. Becerra (2008), "The Unscented Utkin Observer", In: Proc. IASTED International Conference on Modelling, Identification and Control, Innsbruk, Austria, February 11-13, 2008, Paper No. 596-128.

44. P.M. Silva, V.M. Becerra, J.M.F.Calado, and I. Khoo (2008), "Dimension and Coverage of Multiple-Models Structures using Clustering Techniques". In: Proc. IASTED International Conference on Modelling, Identification and Control, Innsbruk, Austria, February 11-13, 2008, Paper No. 596-130.

45. Hammond, M.W, Marshall, S., Downes, J.H., Xydas, D., Nasuto, S.J., Becerra, V.M., Warwick, K. and Whalley, B.J., Robust Methodology For The Study Of Cultured Neuronal Networks On MEAs, In: Stett A (ed): Proceedings MEA Meeting 2008, BIOPRO edition vol. 5, pp. 293-295. Stuttgart: BIOPRO Baden-Wurttemberg GmbH, 2008.

46. Xydas D., Norcott, D.J., Warwick, K., Whalley, B., Nasuto, S.J. Becerra, V.M., Hammond, M., Downes, J., Architecture for Living Neuronal Cell Control of a Mobile Robot, European Robotics Symposium EUROS08, pp. 23-31, 2008.

47. Downes J.H., Hammond M.W, Xydas D., Whalley B.J., Becerra V.M., Warwick K., Nasuto S.J. (2008). Real-Time and Batch Control of MEA Channel Selection and Stimulation. In: Stett A (ed): Proceedings MEA Meeting 2008. BIOPRO edition vol. 5, p.157-158. Stuttgart: BIOPRO Baden-Wurttemberg GmbH, 2008.

48. J. Deng, V.M. Becerra and R. Stobart. “Predictive control using feedback linearization based on dynamic neural models”. IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, 7-10 Oct. 2007 pp. 2716 – 2721 (2007).

49. V.M. Becerra, S.J. Nasuto, J. Anderson, M. Ceriotti and C. Bombardelli. “Search space pruning and global optimization of multiple gravity assist trajectories with deep space manoeuvres”. 2007 IEEE Congress on Evolutionary Computation (CEC 2007), Singapore, 25-28 September 2007, pp. 957-964 (2007).

50. P. M. Silva, V. M. Becerra, I. Khoo, J.M.F.Calado. “Hybrid fault detection and isolation in an heater bank of an HVAC system”. Proceedings of the 15th Mediterranean Conference on Control and Automation, paper T14-009, Athens, Greece, July 27-29, (2007).

51. S. Torres, J. A. Méndez, L. Acosta, V.M. Becerra, M. Sigut, J. Toledo. “Efficient control of robot manipulators with model disturbances”. 45th IEEE Conference on Decision and Control, San Diego, CA, USA, pp. 2931-2936, December 13-15, (2006)

52. S. Torres, J.A. Méndez, L. Acosta, V.M. Becerra. “Adaptive robust controller for robot manipulators: experiments on a PUMA 560 robot”. 8th International IFAC Symposium on Robot Control SYROCO 2006, Bologna, Italy, September 6-8, (2006)

53. E.S.C. Tzimopoulos and V.M. Becerra: “Neural network based learning control of a PUMA 560 manipulator”. UKACC International Conference on Control 2006, Glasgow, UK, 30 August-1 September (2006).

54. J.A. Méndez, S. Torres, L. Acosta, E.J. González, V. M. Becerra: “A New Method for Rejection of Uncertainties in the Tracking Problem for Robot Manipulators". 3rd International Conference on Informatics in Control, Automation and Robotics (ICINCO 2006), Setubal, Portugal, August, (2006).

55. V.M. Becerra, J.D. Biggs, S.J. Nasuto, V.F. Ruiz, W. Holderbaum and D. Izzo: “Using Newton’s method to search for quasi-periodic relative satellite motion based on nonlinear Hamiltonian models”. 7th Cranfield Conference on Dynamics and Control of Systems and Structures in Space”, pp. 193-202, Greenwich, UK, 16-20 July (2006)

56. P.M. Silva, V.M. Becerra, I. Khoo and J.M.F. Calado. “Multiple-model fault tolerant control of terminal units of HVAC systems”. IEEE International Symposium on Industrial Electronics (ISIE 2006), Montreal, Quebec, Canada, pp. 2896-2901, July 9-12, 2006.

57. R.V. Lopes, R.K.H. Galvao, A.P. Milhan, V.M. Becerra and T. Yoneyama: “Modelling and constrained predictive control of a 3DOF helicopter”. XVICongreso Brasileiro de Automatica, Salvador, Bahia, Brazil, pp. 429-434, October 4-6 (2006).

58. V M Becerra, D R Myatt, S J Nasuto, J M Bishop, D Izzo : "An Efficient Pruning Technique for the Global Optimisation of Multiple Gravity Assist Trajectories", International Workshop on Global Optimisation, Almeria, Spain, September 18-20 (2005)

59. D R Myatt, V M Becerra, S J Nasuto, J M Bishop : "GASP: An Efficient Pruning Technique for the Global Optimisation of Multiple Gravity Assist Trajectories", XXXVI Annual Conference, Italian Operations Research Society, AIRO 2005, Italy. (2005)

60. V.M. Becerra, S. Cook and J. Deng. “Predictive computed-torque control of a PUMA 560 manipulator robot” 16th IFAC World Congress, Prague Czech Republic, July 2005.

61. J. Deng, V.M. Becerra, and S. Nasuto. “A novel dynamic neural network structure for nonlinear system identification” 16th IFAC World Congress, Prague, Czech Republic, (2005).

62. C. Li and V.M. Becerra: “Towards robustness via fuzzy c-means algorithm”. In: Fuzzy logic, Soft Computing and Computational Intelligence Theory and Applications IFSA 2005 World Congress. Beijing, China, July 28-31, (2005).

63. J. Deng and V.M. Becerra. “Application of constrained predictive control on a 3D crane system”. IEEE Conference on Robotics, Automation and Mechatronics, Singapore, December 1-3 (2004). [available at IEEE Xplore ]

64. C. Li, V.M. Becerra and J. Deng. “Extension of fuzzy c-means algorithm”. 2004 IEEE Conference on Cybernetics and Intelligent Systems, Singapore, December 1-3 (2004). [available at IEEE Xplore ].

65. C. Li and V.M. Becerra. “Limit equation of fuzzy relation and its application”. 2004 IEEE International Conference on Systems Man and Cybernetics, The Hague, The Netherlands, October 10-13, pp. 3383-3388 (2004). [available at IEEE Xplore ]

66. G. Martinez and V.M. Becerra. “Preliminary results from a real time control system using optical information”. 2004 IEEE International Conference on Systems Man and Cybernetics, The Hague, The Netherlands, October 10-13, pp. 5923-5928 (2004). [available at IEEE Xplore]

67. G. Martinez G. and V.M. Becerra. "Optic Flow as the basis for a Real Time Controller", CLAWAR 2004, 7th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Madrid, Spain, September 22-24 (2004)

68. S. Hadjiloucas, J. W. Bowen, R.K.H. Galvao and V.M. Becerra. “Pulse shaping using state space algorithms”. 12th International Conference on Terahertz Electronics, 27 Sept.-1 Oct. 2004, pp 415 – 416 (2004). [available at IEEE Xplore ]

69. S. Hadjiloucas, A. Izhac, R.K.H. Galvao, J.W. Bowen and V.M. Becerra. “State space model identification of a wireless THz network”. 12th International Conference on Terahertz Electronics, 27 Sept.-1 Oct. 2004, pp 415 – 416 (2004). [available at IEEE Xplore ]

70. G. Martinez, V.M. Becerra and J. Juárez-Guerrero: “Investigation into the performance of an algorithm for deriving concise descriptions of optic flow fields for real-time control”. Proceedings of the 6th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Catania - Italy September 17-19 (2003), pp. 949-958.

71. V.M. Becerra, F. Garces, J.M.F. Calado and P.M. Silva. “Input-output linearization of a pilot pressure plant using a dynamic neural network model”. In: Proc. Of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2003) September 8-10, 2003, Benalmádena, Spain, pp. 64-69. (2003)

72. G.E. Carrillo-Ureta; P.D. Roberts and V.M. Becerra: “Optimal control of a fermentation process”. Proc. of the European Control Conference (CDROM), 1-4 September, Cambridge, UK (2003).

73. S. Torres and V.M. Becerra: “Nonlinear identification of a two link robotic system using dynamic neural networks”. Proceedings of the 13th IFAC Symposium on System Identification, 27-29 August, Rotterdam, The Netherlands (2003), pp. 377-382.

74. J. M. F. Calado, P. M. A. Silva, J. M. G. Sá da Costa and V. M. Becerra. “Reengineering an embedded laboratory allowing remote experiments through the internet”. 6th IFAC Symposium on Advances in Control Education, ACE 2003, Oulu, Finland, 16-18 June (2003).

75. J. Deng and V.M. Becerra. “Modelling of a 3D crane system using parallel dynamic neural networks”. Proceedings of IEEE Systems Man and Cybernetics Workshop on Cybernetic Intelligence, Challenges & Advances, Reading, UK, 17 September 2003 (on CD-ROM).

76. R.K.H. Galvao, V.M. Becerra and M. Abou-Seada: "A Wavelet Network Classifier Applied to Financial Distress Prediction". VI Brazilian Congress on Neural Networks. Sao Paulo, Brazil, 2-5 June (2003).

77. S. Torres, V.M. Becerra, J.A. Méndez, L. Acosta, G.N. Marichal, A.F. Hamilton, M. Sigut, “Identification of a robotic system using dynamic neural networks”. XXIII Jornadas de Automática, 9-11 de Septiembre de 2002, La Laguna, Tenerife – In Spanish (2002).

78. Rohanin A., Mohd Ismail BAA and V.M. Becerra. “Modification of the updating mechanism of the Dynamic Integrated System Identification and Parameter Estimation algorithm using the momentum term”. National Conference on Management Science/Operations Research, Kuala Terengganu, Malaysia, (2002)

79. S. Hadjiloucas, R.K.H. Galvão, V.M. Becerra, J.W. Bowen, R. Martini, M. Brucherseifer, H.P.M. Pellemans, P. Haring Bolívar, H. Kurz, J.M. Chamberlain, “Wavelet filtered modelling applied to measurements of a waveguide’s THz time domain response” Tenth IEEE International Conference on THz Electronics, Cambridge UK, September 2002 pp. 129-132, (2002) [available at IEEE Xplore ]

80. V M Becerra, J.M.F. Calado, P.M. Silva and F. Garces : “System identification using dynamic neural networks: training and initialization aspects”. IFAC World Congress, Barcelona, Spain (2002).

81. P D Roberts and V M Becerra : “Hierarchical control and optimisation of the Tennessee Eastman process”. IFAC World Congress, Barcelona, Spain (2002).

82. R K H Galvao and V M Becerra : “Linear-wavelet models for system identification”. IFAC World Congress, Barcelona, Spain (2002).

83. K. Pirabakaran and V M Becerra : “PID Autotuning Using Neural Networks and Model Reference Adaptive Control”. IFAC World Congress, Barcelona, Spain (2002).

84. R.K.H. Galvao, V.M. Becerra, J.M.F. Calado and P.M. Silva. “Nonlinear System Identification Using A Combined Linear And Ridge-Wavelet Structure”. 2002 Mediterranean Conference on Control and Automation, Lisbon, Portugal, July 9-12 (2002).

85. V M Becerra, R.K.H. Galvao, J.M.F. Calado, P.M. Silva. “Linear-Wavelet Models for Non-linear Identification Applied to a Pressure Plant”. 2002 International Joint Conference on Neural Networks, Honolulu, Hawaii, May 12-17, pp. 2180-2185 (2002). [available at IEEE Xplore ]

86. V. M. Becerra, R. K. H. Galvao and M Abou-Seada . “On the Utility of Input Selection and Pruning for Financial Distress Prediction Models”. 2002 International Joint Conference on Neural Networks, Honolulu, Hawaii, May 12-17, pp. 1328-1333 (2002). [available at IEEE Xplore ]

87. R. K. H. Galvao, V.M. Becerra and M. Abou-Seada. “Variable Selection for Financial Distress Classification Using a Genetic Algorithm”. 2002 Congress on Evolutionary Computation. May 12-17, Honolulu, Hawaii, pp. 2000-2005 (2002). [available at IEEE Xplore ]

88. R.K.H.Galvao and V.M. Becerra: “Linear-wavelet models applied to the identification of a two-link manipulator”. 21 IASTED International Conference on Modelling, Identification and Control, Innsbruck, Austria, February 18-21, pp. 479-484. (2002).

89. S. Hadjiloucas, R.K.H. Galvão, V.M. Becerra, J. W. Bowen, R. Martini, M. Brucherseifer, H.P.M. Pellemans, P. Haring Bolívar, H. Kurz, J.M. Chamberlain. “ARX and subspace identification of a waveguide’s propagation constant measured using wideband coherent thz spectrometry”. XIV Congreso Brasileiro de Automatica. Natal, R.N., 2-5 September, (2002).

90. K Pirabakaran and V M Becerra. “Automatic tuning of PID controllers using model reference adaptive control techniques”. IECON’01: The 27th Annual Conference of the IEEE Industrial Electronics Society, Denver, Colorado, 29 November-2 December, pp. 736-740. (2001). [available at IEEE Xplore ]

91. P.M.A. Silva, J.M.F. Calado, J.M.G. Sa da Costa and V.M. Becerra: “Remote control systems laboratory”. IFAC Workshop on Internet Based Control Education, Madrid (Spain) 12-14 December, pp. 31-36. (2001).

92. Z H Abu-el-zeet, V M Becerra and P D Roberts: “Steady state optimisation using data reconciliation and bias estimation”. Proc. IFAC LSS2001 Large Scale Systems and Applications, Bucharest, Romania, pages 296-301 (2001).

93. P D Roberts and V M Becerra: “Hierarchical algorithm for optimal control of non-linear differential algebraic equation systems”. Proc. IFAC LSS2001 Large Scale Systems and Applications, Bucharest, Romania, pages 284-289 (2001).

94. Z H Abu-el-zeet, P D Roberts and V M Becerra : “Bias detection and identification in dynamic data reconciliation”. Proc. European Control Conference, Porto, Portugal, pages 2352-2357 (2001).

95. G. Carrillo, P D Roberts and V M Becerra : “Genetic algorithms for optimal control of beer fermentation”. Proc. IEEE International Symposium on Intelligent Control, Mexico City, Mexico, pages 391-396 (2001). [available at IEEE Xplore ]

96. V M Becerra, R K H Galvao and M Abou-Seada : “Financial distress classification employing neural networks”. Proc. IASTED International Conference on Artificial Intelligence and Applications, Marbella, Spain, pages 45-49 (2001).

97. P D Roberts, V M Becerra : "Optimal control of nonlinear differential algebraic equation systems", In: Proc. IEEE Conference on Decision and Control, Sydney, Australia, pages 754-759 (2000) [available at IEEE Xplore ]

98. V M Becerra, P D Roberts, G W Griffiths : "Dynamic data reconciliation for sequential modular simulators: application to a mixing process", In Proc. Of the American Control Conference 2000, Chicago, Illinois, USA, pages 2740-2744, (2000)

99. P D Roberts, V M Becerra : "Optimal control of nonlinear systems represented by nonlinear differential algebraic equations", Proc. American Control Conference 2000, Chicago, USA, pages 762-766 (2000)

100. Z H Abu el zeet, V M Becerra, P D Roberts : "Applying data reconciliation and bias estimation to static optimisation", Proc. UKACC International Conference on Control 2000, Cambridge, UK (2000).

101. V M Becerra, P D Roberts, G W Griffiths : "Dynamic data reconciliation for a class of nonlinear differential algebraic equation models using the extended Kalman filter", In Proc. 14th IFAC World Congress, Beijing, China, July 5-9, volume L, pages 303-308. (1999).

102. V M Becerra, P D Roberts, G W Griffiths : "Dynamic data reconciliation for sequential modular simulators", In Proc. UKACC International Conference on Control '98, volume 2, pages 1230-1235. Swansea, UK (1998) [available at IEEE Xplore ]

103. V M Becerra, P D Roberts, G W Griffiths : "Integrated predictive control and economic optimisation: decomposition and hierarchical structure", In Proc. 8th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, volume 1, pages 474-479. Patras, Greece (1998)

104. P D Roberts, V M Becerra : "Optimal control of non-linear hybrid systems under model-reality differences - decomposition and hierarchical structure", In Proc. 8th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, volume 1, pages 159-164. Patras, Greece (1998)

105. P D Roberts, V M Becerra : "Optimal control of non-linear systems under model-reality differences - a hybrid approach", In Proc. International Conference on Optimization Techniques and Applications, pages 751-758. Perth, Australia (1998)

106. P D Roberts, V M Becerra : "An algorithm for optimal nonlinear batch process control with model-reality differences and unmatched terminal constraints", In Proc. IFAC Symposium on Advanced Control of Chemical Processes, pages 517-522. Banff, Canada (1997)

107. V M Becerra, P D Roberts, G W Griffiths : "Process optimisation using predictive control: application to a simulated reaction system", In Proc. IFAC Symposium on Advanced Control of Chemical Processes, pages 629-634. Banff, Canada (1997)

108. V M Becerra, P D Roberts : "Developement of a new linear state space identifier with low computational requirements for large scale systems", In Proc. Controlo '96. Porto, Portugal (1996)

109. V M Becerra, P D Roberts : "New developments in batch process input profile optimisation", In Proc. UKACC International Conference on Control '96, pages 762-786. Exeter, UK (1996) [available at IEEE Xplore ]

110. V M Becerra, P D Roberts, J Lin, G W Griffiths : "New developments in process optimisation using predictive control", In Proc. 13th IFAC World Congress, volume M, pages 115-120. San Francisco, USA (1996)

111. V M Becerra, P D Roberts : "A hierarchical extension of dynamic integrated system optimization and parameter-estimation", In Proc. 7th IFAC/IFORS/IMACS Symposium on Large Scale Systems - theory and applications, pages 191-196. London, UK (1995)

112. V M Becerra, P D Roberts : "Discrete dynamic integrated system optimisation and parameter estimation and its application to optimal batch process control", In Proc. 3rd. European Control Conference, volume 2, pages 1255-1260. Rome, Italy (1995)

113. V M Becerra, P D Roberts : "Nonlinear predictive control using dynamic integrated system optimisation and parameter estimation", In Proc. IFAC Symposium on Nonlinear Control Systems Design, pages 795-800. Tahoe City, USA (1995)

114. V M Becerra, P D Roberts : "A new approach for the solution of the optimal setpoint tracking problem for nonlinear systems", In Proc. International Conference on Control 94, pages 849-854. Coventry, UK (1994) [available at IEEE Xplore ]

115. V M Becerra, P D Roberts, J Lin : "Development and application of a novel algorithm for steady- state optimizing control using dynamic information", In Proc. 3rd IEEE Conference on Control Applications, pages 257-262. Glasgow, UK (1994) [available at IEEE Xplore ]

116. V M Becerra, C E Garcia, N Bacalao : "Optimal tuning of power system stabilizers for Static Var Compensators in Venezuela", In Proc. 4th CIGRE ERLAC, pages 849-854. Puerto Iguazu, Brazil - in Spanish (1991)

Other publications

117. V.M. Becerra. Book review: “Optimal control theory: applications to management science and economics” (Sethi, S.P. and Thompson, G.L.: 2000). IEEE Control Systems Magazine, 23(5):86-87. (2003). [available at IEEE Xplore ]

118. V.M. Becerra (2002) Book review: “Nonlinear Identification and Control: A Neural Network Approach”, by G.P. Liu, Springer New York 2001. In: IEEE Control Systems Magazine, 22(5):103, October 2002.

119. V M Becerra, C E Garcia : "Optimal tuning of power system stabilizers for Static VAR Compensators in the national network", Revista CIV, (352) - in Spanish (1990)

120. V M Becerra : "Book Review: Autotuning of PID Controllers, by Cheng-Ching Yu, Springer Verlag, London", Automatica, 36:1773-1774 (2000)

121. V M Becerra : "Book Review: Electric Systems, Dynamics and Stability with Artificial Intelligence Applications, by J.A. Momoh and M.E. El-Hawary, Marcel Decker inc, New York”. IEEE Control Systems Magazine, 20(4):120-121 (2000).

122. P. D. Roberts and V. M. Becerra, "Model Predictive Control using Dynamic Integrated System Optimisation and Parameter Estimation (DISOPE)," In: Proc. Model predictive control: techniques and applications, IEE Colloquium, London, (1999). [available at IEEE Xplore ]

123. V. M. Becerra, Z. H. Abu-el-zeet, and P. D. Roberts, "Integrating Predictive Control and Economic Optimisation," In: Proc. Model predictive control: techniques and applications, IEE Colloquium, London, (1999). [available at IEEE Xplore ]

124. V.M. Becerra. “Book Review: Symbolic Methods in Control Systems Analysis and Design, by Neil Munro”, Institution of Electrical Engineers, UK. IEEE Control Systems Magazine, 19(6):97-98, (1999).

Thesis and dissertation

125. V M Becerra : "Development and applications of novel optimal control algorithms", PhD Thesis - City University, London, UK (1994) [available in PDF format through this link]

126. V.M. Becerra: “Financial distress classification using neural networks”. MSc dissertation – Middlesex University, London, UK (2001).

Last update 01/05/2012