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  • Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung, Oh-Min Kwon, R. Rakkiyappan
  • Mathematics, Computer Science
  • Neurocomputing
  • 2013 (First Published: 1 July 2013)
  • This paper is concerned with the stability analysis of neutral type neural networks with discrete and distributed delays. Some improved delay-dependent stability results are established by using aContinue Reading
  • Shanmugam Lakshmanan, Pagavathigounder Balasubramaniam
  • Physics
  • 2011 (First Published: 1 August 2011)
  • In this paper, robust stability analysis for neutral-type neural networks with time-varying delays and Markovian jumping parameters is conducted. By using the delay-decomposition approach, a newContinue Reading
  • A. Chandrasekar, R. Rakkiyappan, Fathalla A. Rihan, Shanmugam Lakshmanan
  • Mathematics, Computer Science
  • Neurocomputing
  • 2014 (First Published: 1 June 2014)
  • This paper investigates the exponential synchronization for a class of delayed neural networks with Markovian jumping parameters and time varying delays. The considered transition probabilities areContinue Reading
  • Shanmugam Lakshmanan, Mani Prakash, Chee Peng Lim, R. Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi
  • Computer Science, Medicine
  • IEEE Transactions on Neural Networks and Learning…
  • 2018
  • In this paper, synchronization of an inertial neural network with time-varying delays is investigated. Based on the variable transformation method, we transform the second-order differentialContinue Reading
  • A. Chandrasekar, R. Rakkiyappan, Jinde Cao, Shanmugam Lakshmanan
  • Mathematics, Computer Science, Medicine
  • Neural Networks
  • 2014 (First Published: 1 September 2014)
  • We extend the notion of Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. Some sufficient conditions areContinue Reading
  • Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, R. Rakkiyappan
  • Mathematics, Computer Science
  • Neurocomputing
  • 2009 (First Published: 1 October 2009)
  • In this paper, we study the delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties. The time-varying delay is assumed to belong to anContinue Reading
  • Shanmugam Lakshmanan, Ju H. Park, Tae H. Lee, Ho Y. Jung, R. Rakkiyappan
  • Mathematics, Computer Science
  • Applied Mathematics and Computation
  • 2013 (First Published: 1 May 2013)
  • This paper is concerned with the stability criteria for bidirectional associative memory (BAM) neural networks with leakage time delay and probabilistic time-varying delays. By establishing aContinue Reading