Selected Bibliography of Professor K. S. Narendra

Linear Systems

1. K. S. Narendra, ”Pole Zero Configuration and Transient Response of LinearSystems,” 1959 NERM Conference.

2. K. S. Narendra, ”Synthesis of Linear Systems Using the Complementary RootLocus,” Cruft Lab. Tech. Report 299, IEEE Transactions, PGAC, September1961.

3. K. S. Narendra, ”Integral Transforms for a Class of Linear time Varying Sys-tems,” IEEE Transactions, PGAC, September 1961.

4. K. S. Narendra and R. M. Goldwyn, ”Application of Matrix Methods to theAnalysis and Synthesis of Multivariable Systems,” Transactions AIEE Applica-tion and Industry, 1962.

5. R. E. Kalman, Y. C. Ho, and K. S. Narendra, ”Controllability of Linear Dynami-cal Systems,” Contributions to the Theory of Differential Equations,vol. I, No. 2, 1961.

6. L. E. McBride, Jr., and K. S. Narendra, ”An Expanded Matrix Representationof Multivariable Systems,” IEEE Transactions, PGAC, October 1963.

Identification, Optimization and Adaptation

7. K. S. Narendra and L. E. McBride, Jr., ”Multiparameter Self-Optimizing Sys-tems Using Correlation Techniques,” IEEE Transactions, PGAC, January 1964.

8. K. S. Narendra and L. E. McBride, Jr., ”Identification and Optimization ofMultivariable Systems Using Correlation Techniques,” Proceedings of the FirstAllerton Conference, 1963.

9. K. S. Narendra and D. N. Streeter, ”An Adaptive Procedure for UndefinedLinear Processes,” IEEE Transactions, PGCT, October 1964.

10. L. E. McBride, Jr. and K. S. Narendra, ”Optimization of Time-Varying Sys-tems,” IEEE Transactions, PGAC, July 1965.

11. K. S. Narendra, M. A. L. Thathachar and T. S. Baker, ”Adaptive Control UsingCorrelation Technique,” Proceedings of the 1965 Allerton Conference.

12. K. S. Narendra and P. G. Gallman, ”Identification of a Nonlinear System Usinga Hammerstein Model,” IEEE Transactions, PGAC, July 1966.

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13. K. S. Narendra and T. S. Baker, ”Simultaneous Multiple Parameter Adjust-ment in Adaptive Systems Using a Single Perturbation Signal,” Proceedings ofthe 1967 National Electronics Conference; also in IEEE Transactions, PGAC,July 1968.

14. S. S. Tripathi and K. S. Narendra, ”Conjugate Direction Methods for Non-linear Optimization Problems,” Proceedings of the 1968 National ElectronicsConference, pp. 125-129.

15. R. D. Murphy and K. S. Narendra, ”Design of Helicopter Stabilization SystemsUsing Optimal Control Theory,” Journal of Aircraft, vol. 6, No. 2, March 1969.

16. T. Pecsvaradi and K. S. Narendra, ”A New Iterative Procedure for the Min-imization of a Quadratic Form of a Convex Set,” SIAM Journal on Control,vol. 8, No. 3, 1970.

17. T. Pecsvaradi and K. S. Narendra, ”Reachable Sets for Linear Dynamical Sys-tems,” Information and Control, vol. 19, No. 4, 1971.

18. S. S. Tripathi and K. S. Narendra, ”Constrained Optimization Problems UsingMultiple Methods,” Journal of Optimization Theory and Application, vol. 9,No. 1, 1972.

19. P. G. Gallman and K. S. Narendra, ”The Stone-Weierstrass Theorem and theIdentification Problem,” Ibid.

20. K. S. Narendra and S. S. Tripathi,”Identification and Optimization of AircraftDynamics,” Journal of Aircraft, vol. 10, No. 4, April 1973, pp. 193-199.

Stability Theory

21. R. M. Goldwyn and K.S. Narendra, ”Stability of a Class of Nonlinear Systems,”IEEE Transactions, PGAC, October 1963.

22. K. S. Narendra and R. M. Goldwyn, ”Lyapunov Functions for a Class of Non-linear Systems,” International Journal of Engineering Science, vol. 2, 1964.

23. K. S. Narendra and R. M. Goldwyn, ”A Geometrical Criterion for the Stabilityof Nonlinear Nonautonomous Systems,” IEEE Transactions, PGCT, September1964.

24. K. S. Narendra and C. P. Neuman, ”Stability of a Class of Differential Equa-tions with a Single Monotone Nonlinearity,” Society for Industrial and AppliedMathematics Journal, Series A: Control, vol. 4, No. 2, 1966.

25. K. S. Narendra and C. P. Neuman, ”On the Stability of Dynamical Systems withM-Feedback Nonlinearities,” Journal of the American Institute for Aeronauticsand Astronautics, November 1967.

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26. K. S. Narendra and Y. S. Cho, ”Stability of a Feedback System with a SingleOdd Monotonic Nonlinearity,” IEEE Transactions, PGAC, August 1967.

27. K. S. Narendra and C. P. Neuman, ”A Conjecture on the Existence of a QuadraticLyapunov Function for Linear Time-Invariant Systems,” Proceedings of theFourth Allerton Conference, October 1966.

28. Y. S. Cho and K. S. Narendra, ”An Off-Axis Circle Criterion for the Stability ofa Feedback System with a Single Monotonic Nonlinearity,” IEEE Transactions,PGAC, August 1968.

29. Y. S. Cho and K. S. Narendra, ”Stability of Nonlinear Time-varying FeedbackSystems,” Automatica, 1968.

30. K. S. Narendra and J. H. Taylor, ”Lyapunov Functions for Nonlinear Time-Varying Systems,” Information and Control, 1968.

31. J. H. Taylor and K. S. Narendra, ”Stability Regions for the Damped MathieuEquation,” SIAM Journal on Applied Mathematics, 1968.

32. K. S. Narendra and Y. S. Cho, ”Stability Analysis of Nonlinear Time-VaryingDiscrete Systems,” SIAM Journal on Control, vol. 6, No. 4.

33. J. H. Taylor and K. S. Narendra, ”Corduneanu-Popov Approach to the Stabilityof Time-Varying Systems,” SIAM Journal of Applied Mathematics, vol. 18,No. 2, March 1970.

34. D. E. Koditschek and K. S. Narendra, ”The Stability of Second Order QuadraticDifferential Equations,” Tech. Report No. 7709, Systems and InformationSciences, Yale University, New Haven, Connecticut, November 1977.

35. D. E. Koditschek and K. S. Narendra, ”The Stability of Second Order QuadraticDifferential Equations,” IEEE Transactions on Automatic Control, AC-27,pp. 783-798, August 1982.

36. D. E. Koditschek and K. S. Narendra, ”Stabilizability of Second Order BilinearSystems,” IEEE Transactions on Automatic Control, vol. 28, pp. 987-989,October 1983.

37. D. E. Koditschek and K. S. Narendra, ”Limit Cycles of Planar QuadraticDifferential Equations,” Journal of Differential Equations, vol. 54, No. 2,pp. 181-195.

38. D. E. Koditschek and K. S. Narendra, ”The Controllability of Planar BilinearSystems,” IEEE Transactions on Automatic Control, AC-30, No. 1, pp. 87-89,January 1985.

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Stochastic Automata

39. I. J. Shapiro and K. S. Narendra, ”The Use of Stochastic Automata in Adap-tive Control,” IEEE Transactions on Systems Science and Cybernetics, October1969.

40. K. S. Narendra and I. J. Shapiro, ”The Use of Psychological Learning TheoryModels in the Design of Adaptive Systems,” Proceedings of the 1969 SystemsScience and Cybernetics Conference.

41. I. J. Shapiro and K. S. Narendra, ”Comparison of Stochastic Automaton and aRelated Sample Mean Approach to Parameter Optimization Problems,” Sym-posium on Adaptive Processes, 1969.

42. R. Vishwanathan and K. S. Narendra, ”On Variable-Structure Stochastic Au-tomata,” in Pattern Recognition and Machine Learning, edited by K. S. Fu,Plenum Press, New York, 1971.

43. R. Vishwanathan and K. S. Narendra, ”A Note on the Linear ReinforcementScheme for Variable-Structure Stochastic Automata,” IEEE Transactions onSystems, Man and Cybernetics, vol. SMC-2, No. 2, pp.294-294, April 1972.

44. K. S. Narendra and R. Vishwanathan, ”A Two-Level System of Stochastic Au-tomata for Periodic Random Environments,” IEEE Transactions on Systems,Man and Cybernetics, vol. SMC-2, No. 2, pp. 285-289, April 1972.

45. R. Vishwanathan and K. S. Narendra, ”Comparison of Expedient and optimalReinforcement Schemes for Learning Systems,” Journal of Cybernetics, vol. 2,No. 1, pp. 21-37, 1972.

46. R. Vishwanathan and K. S. Narendra, ”Competitive and Cooperative Gamesof Variable Structure Stochastic Automata,” Journal of Cybernetics, vol. 3,No. 1, pp. 1-23, 1973.

47. R. Vishwanathan and K. S. Narendra, ”Stochastic Automata Models with Ap-plications to Learning Systems,” IEEE Transactions on Systems, Man and Cy-bernetics, vol. SMC-3, No. 1, January, 1973.

48. K. S. Narendra and M. A. L. Thathachar, ”Learning Automata - A Survey,”IEEE Transactions on Systems, Man and Cybernetics, July 1974.

49. K. S. Narendra, L. G. Mason and S. S. Tripathi, ”Application of LearningAutomata to Telephone Traffic Routing Problems,” Proceedings of the 1974JACC.

50. K. S. Narendra, A. E. Wright and L. G. Mason, ”Application of Learning Au-tomata to Teletraffic Routing and Management,” IEEE Transactions on Sys-tems, Man and Cybernetics, November 1977.

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51. D. E. Koditschek and K. S. Narendra, ”Fixed Structure Automata in a Multi-Teacher Environment,” IEEE Transactions on Systems, Man and Cybernetics,August 1977.

52. K. S. Narendra and S. Lakshmivarahan, ”Learning Automata - A Critique,”Journal of Cybernetics and Information Science, vol. 1, Fall 1977.

53. S. Lakshmivarahan and K. S. Narendra, ”Learning Algorithms for Two-PersonZero-Sum Stochastic Games with Incomplete Information,” Mathematics of Op-erations Research, vol. 6, No. 4, August 1981.

54. K. S. Narendra and D. M. McKenna, ”Simulation Study of Telephone TrafficRouting Using Learning Algorithms, Part I,” Tech. report No. 7806, Systemsand Information Sciences, Yale University, New Haven, Connecticut, December1978.

55. K. S. Narendra and M. A. L. Thathachar, ”On the Behavior of a LearningAutomaton in a Changing Environment with Application to Telephone TrafficRouting,” IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-10,No. 5, pp. 262-269, May 1980.

56. P. R. Srikantakumar and K. S. Narendra, ”A Learning Model for Routing inTelephone Networks,” SIAM Journal of Control and Optimization, vol. 20,No. 1, pp. 34-57, January 1982.

57. S. Lakshmivarahan and K. S. Narendra, ”Learning Algorithms for Two-PersonZero-Sum Games with Incomplete Information: A Unified Approach,” SIAMJournal of Control and Optimization, vol. 20, No. 4, pp. 541-552, July 1982.

58. O. V. Nedzelnitsky, Jr. and K. S. Narendra, ”A Learning Approach to Routingin Data Communication Networks,” Tech. Report No. 8212, Center for SystemsScience, Yale University, New Haven, Connecticut.

59. K. S. Narendra and P. Mars, ”The Use of Learning Algorithms in TelephoneTraffic Routing - A Methodology,” Automatica, vol. 19, No. 5, pp. 495-502,1983.

60. K. S. Narendra and R. M. Wheeler, Jr., ”An N-Player Sequential StochasticGame with Identical Payoffs,” IEEE Transactions on Systems, Man and Cyber-netics, vol. 13, pp. 1154-1158, December 1983.

61. R. M. Wheeler, Jr. and K. S. Narendra, ”Learning Models for DecentralizedDecision Making,” Automatica, July 1985.

62. K. S. Narendra and R. M. Wheeler, Jr., ”Routing in Communication Networks- A Case Study of Learning in Large Scale Systems,” Special Issue on Telecom-munications in the Journal of Large Scale Systems, 1986.

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63. R. M. Wheeler, Jr. and K. S. Narendra, ”Decentralized Learning in FiniteMarkov Chains,” IEEE Transactions on Automatic Control, AC-31, pp. 519-526, June 1986.

64. K. S. Narendra and R. M. Wheeler, Jr., ”Recent Developments in Learning Au-tomata,” in Adaptive and Learning Systems: Theory and Applications, editedby K. S. Narendra, Plenum Press, New York, 1986.

65. O. V. Nedzelnitsky, Jr. and K. S. Narendra, ”Nonstationary Models of LearningAutomata Routing in Data Communication Networks,” IEEE Transactions onSystems, Man and Cybernetics, SMC-17, No. 6, November/December 1987.

66. Kumpati S. Narendra and Kannan Parthasarathy, ”Learning Automata Ap-proach to Hierarchical Multiobjective Analysis,” IEEE Transactions on Sys-tems, Man and Cybernetics, vol. 20, No. 1, pp. 263-272, January/February1991.

Adaptive Control Using Lyapunov Method

67. K. S. Narendra and S. S. Tripathi, ”The Choice of Adaptive Parameters inModel-Reference Control Systems,” Fifth Asilomar Conference on Circuits andSystems, 1971.

68. J. M. Mendel and K. S. Fu, Adaptive, Learning and Pattern Recognition Systems:Theory and Applications, Academic Press, New York, 1970. Reviewed byK. S. Narendra in IEEE Transactions on Automatic Control, AC-17, No. 2,pp. 278-279, April 1972.

69. G. Luders and K. S. Narendra, ”Lyapunov Functions for Quadratic Differen-tial Equations with Applications to Adaptive Control,” IEEE Transactions onAutomatic Control, AC-17, No. 6, pp. 798-801, December 1972.

70. G. Luders and K. S. Narendra, ”An Adaptive Observer and Identifier for aLinear System,” IEEE Transactions on Automatic Control, AC-18, No. 5,pp. 496-499, October 1973.

71. P. Kudva and K. S. Narendra, ”Synthesis of an Adaptive Observer using Lya-punov’s Direct Method,” International Journal of Control, Vol. 18, pp. 1201-1210, 1973.

72. G. Luders and K. S. Narendra, ”A New Canonical Form for an AdaptiveObserver,” IEEE Transactions on Automatic Control, AC-19, pp. 117-119,April 1974.

73. Ya. Z. Tsypkin, Adaptation and Learning in Automatic Systems, AcademicPress, New York, 1971. Reviewed by K. S. Narendra in IEEE Transactionson Automatic Control, AC-19, April 1974.

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74. P. Kudva and K. S. Narendra, ”An Identification Procedure for Discrete Multi-variable Systems,” IEEE Transactions on Automatic Control, AC-19, pp. 549-552, October 1974.

75. K. S. Narendra and P. Kudva, ”Stable Adaptive Schemes for System Identifi-cation and Control - Parts I & II,” IEEE Transactions on Systems, Man andCybernetics, SMC-4, PP. 541-560, November 1974.

76. G. Luders and K. S. Narendra, ”Stable Adaptive Schemes State Estimation andIdentification of Linear Systems,” IEEE Transactions on Automatic Control,AC-19, pp. 841-847, December 1974.

77. K. S. Narendra, ”Stable Identification Schemes,” in System Identification:Advances and Case Studies, Academic Press, New York, 1976.

78. K S. Narendra and L. S. Valavani, ”Stable Adaptive Observers and Controllers,”Proc. IEEE, Vol. 64, pp. 1198-1208, August 1976.

79. K. S. Narendra and L. S. Valavani, ”A New Adaptive Observer,” Tech. Re-port No. 74, Systems and Information Sciences, Yale University, New Haven,Connecticut, October 1976.

80. A. P. Morgan and K. S. Narendra, ”On the Uniform Asymptotic Stability ofCertain Linear Nonautonomous Differential Equations,” SIAM Journal of Con-trol and optimization, Vol. 15, pp. 5-24, January 1977.

81. A. P. Morgan and K. S. Narendra, ”On the Stability of Nonautonomous Dif-ferential Equations x = A + B(t)x with Skew-Symmetric Matrix B(t),” SIAMJournal of Control and Optimization, Vol. 15, pp. 163-176, January 1977.

82. K. S. Narendra and L. S. Valavani, ”Stable Adaptive Controller Design-DirectControl,” IEEE Transactions on Automatic Control, AC-23, pp. 570-583,August 1978.

83. A. P. Morgan and K. S. Narendra, ”On the Uniform Asymptotic Stability of Cer-tain Linear Time-varying Differential Equations with Unbounded Coefficients,”Tech. report No. 7807, Systems and Information Sciences, Yale University,New Haven, Connecticut, November 1978.

84. K. S. Narendra and L. S. Valavani, ”Indirect Adaptive Control,” Automatica,Vol. 15, pp. 653-664, November 1979.

85. K. S. Narendra and L. S. Valavani, ”A Comparison of Lyapunov and Hypersta-bility Approaches to Adaptive Control of Continuous Systems,” IEEE Trans-actions on Automatic Control, AC-25, pp. 243-247, April 1980.

86. K. S. Narendra, Y. H. Lin and L. S. Valavani, ”Stable Adaptive ControllerDesign - Part II: Proof of Stability,” IEEE Transactions on Automatic Control,AC-25, pp. 440-448, June 1980.

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87. Y. H. Lin and K. S. Narendra, ”A New Error model for Adaptive Systems,”IEEE Transactions on Automatic Control, AC-25, pp. 585-587, June 1980.

88. K. S. Narendra and Y. H. Lin, ”Stable Discrete Adaptive Control,” IEEE Trans-actions on Automatic Control, AC-25, pp. 456-461, June 1980.

89. K. S. Narendra and Y. H. Lin, ”Design of Stable Model Reference AdaptiveControllers,” in Applications of Adaptive Control, Academic Press, New York,1980, pp. 69-130.

90. K. S. Narendra and B. B. Peterson, ”Recent Developments in Adaptive Con-trol,” Methods and Applications in Adaptive Control, Proceedings of an Inter-national Symposium, Bochum, Germany, Springer-Verlag, 1980.

91. B. B. Peterson and K. S. Narendra, ”Bounded Error Adaptive Control,” IEEETransactions on Automatic Control, AC-27, pp. 1161-1168, December 1982.

92. G. Kreisselmeier and K. S. Narendra, ”Stable Model Reference Adaptive Controlin the Presence of Bounded Disturbances,” IEEE Transactions on AutomaticControl, AC-27, pp. 1169-1175, December 1982.

93. K. S. Narendra and A. M. Annaswamy, ”Persistent Excitation and RobustAdaptive Algorithms,” Proceedings of The Third Yale Workshop on Applica-tions of Adaptive Systems Theory, Yale University, New Haven, Connecticut,June 1983.

94. K. S. Narendra and A. M. Annaswamy, ”Recent Trends in Adaptive ControlTheory,” Journal of the Society of Instrument and Control Engineers, Japan,May 1984.

95. R. P. Singh and K. S. Narendra, ”Prior Information in the Design of Multivari-able Adaptive Controllers,” IEEE Transactions on Automatic Control, AC-29,No. 12, December 1984.

96. K. S. Narendra, A. M. Annaswamy and R. P. Singh, ”A General Approach tothe Stability Analysis of Adaptive Systems,” International Journal of Control,vol. 41, No. 1, 1985.

97. K. S. Narendra, I. H. Khalifa and A. M. Annaswamy, ”Error Models for StableHybrid Adaptive Systems - Part II,” IEEE Transactions on Automatic Control,AC-30, No. 4, pp. 339-347, April 1985.

98. A. M. Annaswamy and K. S. Narendra, ”Stabilization of Adaptive Systemsin the Presence of Bounded Disturbances Using a Dead-Zone,” Tech. Report,Center for Systems Science, Yale University, New Haven, Connecticut; alsoin the Proceedings of The Fourth Yale Workshop on Applications of AdaptiveSystems Theory, New Haven, Connecticut, May 1985.

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99. K. S. Narendra and A. M. Annaswamy, ”A New Adaptive Law for Robust Adap-tive Control Without Persistent Excitation,” IEEE Transactions on AutomaticControl, AC-32, pp. 134-145, February 1987.

100. K. S. Narendra and A. M. Annaswamy, ”Robust Adaptive Control in the Pres-ence of Bounded Disturbances,” IEEE Transactions on Automatic Control,AC-31, pp. 306-315, April 1986.

101. T. H. Lee and K. S. Narendra, ”Stable Discrete Adaptive Control with UnknownHigh Frequency Gains,” IEEE Transactions on Automatic Control, AC-31,pp. 477-479, May 1986.

102. K. S. Narendra and A. M. Annaswamy, ”Persistent Excitation and StabilityProperties of Adaptive Systems,” Proceedings of The Fourth Yale Workshop onApplications of Adaptive Systems Theory, New Haven, Connecticut, May 1985.

103. K. S. Narendra and A. M. Annaswamy, ”Robust Adaptive Control,” inAdaptive and Learning Systems: Theory and Applications, K. S. Narendra, ed-itor, Plenum Press, New York, 1986.

104. K. S. Narendra and A. M. Annaswamy, ”Persistent Excitation in AdaptiveSystems,” International Journal of Control, vol. 45, No. 1, pp. 127-160, 1987.

105. P. Singh and K. S. Narendra, ”Frequency Domain Conditions for the Solvabilityof the Multivariable Disturbance Decoupling problem,” IEEE Transactions onAutomatic Control, AC-33, No. 1, January 1988.

106. T. H. Lee and K. S. Narendra, ”Robust Adaptive Control of Discrete-Time Sys-tems using Persistent Excitation and Hybrid Adaptation,” Automatica,vol. 24, pp. 781-788, November 1988.

107. M. A. Duarte and K. S. Narendra, ”A New Approach to Model Reference Adap-tive Control,” International Journal of Adaptive Control and Signal Processing,vol. 3, pp. 53-73, 1989.

108. K. S. Narendra and MA. Duarte, ”Application of Robust Adaptive Control Us-ing Combined Direct and Indirect Methods,” International Journal of AdaptiveControl and Signal Processing, vol. 3, pp. 131-142, 1989.

109. M. A. Duarte and K. S. Narendra, ”Combined Direct and Indirect Approach toAdaptive Control,” IEEE Transactions on Automatic Control, vol. 34, No. 10,pp. 1071-1075, October 1989.

110. Kumpati S. Narendra, ”Intelligent Control,” Control Systems Magazine, IEEE,vol. 11, No. 1, pp. 39-40, January 1991.

111. Kumpati S. Narendra and Jovan D. Boscovic, ”A Combined Direct, Indirectand Variable Structure Method for Robust Control,” IEEE Transactions onAutomatic Control, vol. 37, No. 2, pp. 262-268, February 1992.

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112. K.S. Narendra and N. O. Oleng, ”Exact output tracking in decentralized adap-tive control systems,” IEEE Transactions on Automatic Control, February 2002.

Neural Networks

113. Kumpati S. Narendra and Kannan Parthasarathy, ”Identification and Controlof Dynamical Systems Using Neural Networks,” IEEE Transactions on NeuralNetworks, vol. 1, No. 1, pp. 4-27, March 1990.

114. Kumpati S. Narendra and Snehasis Mukhopadhyay, ”Associative Learning inRandom Environments Using Neural Networks,” IEEE Transactions on NeuralNetworks, vol. 2, No. 1, pp. 20-31 January 1991.

115. Kumpati S. Narendra and Kannan Parthasarathy, ”Gradient Methods for theOptimization of Dynamical Systems Containing Neural Networks,” IEEE Trans-actions on Neural Networks, vol. 2, No. 2, pp. 252-262, March 1991.

116. Kumpati S. Narendra and Kannan Parthasarathy, ”Neural Networks and Dy-namical Systems,” International Journal of Approximate Reasoning, vol. 6,No. 2, pp. 109-131, February 1992.

117. K. S. Narendra, ”Adaptive control of dynamical systems using neural networks,”In D. A. White and D. A. Sofge. editors, handbook of Intelligent Control:Neural, Fuzzy and Adaptive Approaches, Van Nostrand-Reinhold, New York,USA, 1992.

118. K. S. Narendra and S. Mukhopadhyay, ”Intelligent control using neural net-works,” IEEE Contr. Syst. Mag., pp. 11-18, Apr. 1992.

119. A. U. Levin and K. S. Narendra, ”Control of nonlinear dynamical systems usingneural networks: Controllability,” IEEE Trans. Neur. Network, March 1993.

120. A. U. Levin and K. S. Narendra, ”Control of nonlinear dynamical systems usingneural networks: Part II-Identification,” Tech. Rep. no. 9116, Center for Syst.Sci. Yale Univ.

121. S. Mukhopadhyay and K. S. Narendra, ”Disturbance rejection in nonlinear sys-tems using neural networks,” IEEE Trans. Neur. Networks, pp. 63-72, 1993.

122. K. S. Narendra and S. Mukhopadhyay, ”Adaptive control of nonlinear multi-variable systems using neural networks,” Neur. Networks., vol. 7, no. 5, pp.737-752, 1994.

123. A. U. Levin and K. S. Narendra, ”Recursive identification using feedforwardneural networks,” Int. J. Contr., vol. 61, pp. 537-547, 1995.

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124. J. D. Boskovic and K. S. Narendra, ”Comparison of linear, nonlinear, and neu-ral network based adaptive controllers for a class of fed-batch fermentationprocesses,” Automatica, vol. 31, no. 6, pp. 537-547, 1995.

125. K. S. Narendra and S. Mukhopadhyay, ”Intellegent control using neural net-works,” Intelligent Control Systems, M. M. Gupta and N. K. Sinha, Eds. Pis-cataway, NJ: IEEE Press, pp. 151-186, 1995.

126. K. S. Narendra and S.-M. Li ”Neural network in control systems,” in mathe-matical Perspectives on Neural Networks, Smolensky, Mozer, and Rumelhard,Eds. hillsdale, NJ: L. Erlbaum Assoc. 1996

127. A. U. Levin and K. S. Narendra, ”Control of nonlinear dynamical systems usingneural networks Part II: Observability, identification, and control,” IEEE Trans.Neur. Network, vol. 7 no, 1: 30-42 1996.

128. K. S. Narendra, ”Neural networks for control: Theory and practice,” Proceedingof IEEE, vol. 84, no. 10, pp. 1385-1406, October 1996.

129. K. S. Narendra and S. Mukhopadhyay, ”Adaptive control using neural networksand approximate models,” IEEE Trans. Neur. Networks, vol. 8, no. 3, pp.475-485, May 1997.

130. A. U. Levin and K. S. Narendra, ”Identification of nonlinear dynamical systemsusing neural networks,”In O. Omidvar and D. L. Elliott, editors, Neural Systemsfor Control, pp. 129-160. Academic Press, San Diego, CA, USA, 1997.

131. J. B. D. Cabrera and K. S. Narendra, ”Issues in the application of neural net-works for tracking based on inverse control,” IEEE Trans. Autom. Contr., vol.44 no, 11: 2007-2027, November 1999.

Multiple Models: Switching and Tuning

132. K. S. Narendra and J. Balakrishnan, ”Adaptive control using multiple models,”IEEE Trans. Autom. Contr., vol. 42, no. 2, pp. 171-187, February 1997.

133. M. K. Ciliz and K. S. Narendra, ”Adaptive control of robotic manipulators usingmultiple models, and switching,” International Journal of Robotics Research,1995.

134. K. S. Narendra and C. Xiang, ”Adaptive control of discrete-time systems usingmultiple models,” IEEE Trans. Autom. Contr., vol. 45 no, 9: 1669-1686,September 2000.

135. L. Chen and K. S. Narendra, ”Nonlinear adaptive control using neural networksand multiple models,” Automatica, 2001.

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136. K. S. Narendra and O. A. Driollet, ”Stochastic adaptive control using multiplemodels for improved performance in the presence of random disturbance,” In-ternational Journal of Adaptive Control and Signal Processing, vol. 15, no. 3pp. 297-317, 2001.

137. L. Chen and K. S. Narendra, ”Intelligent control using multiple neural net-works,” International Journal of Adaptive Control and Signal Processing, vol.17, pp. 417-430, 2003.

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