Page 73 - Read Online
P. 73
Harib et al. Intell Robot 2022;2(1):37-71 https://dx.doi.org/10.20517/ir.2021.19 Page 67
DOI
50. Zhang Q, Tomizuka M. Multivariable direct adaptive control of thermal mixing processes. J Dyn Syst Meas Control 1985;107:278-
83. DOI
51. Lukas MP, Kaya A. Adaptive control of a heat exchanger using function blocks. Chemical Engineering Communications
2007;24:259-73. DOI
52. Harris CJ, Billings SA. Self-tuning and adaptive control - theory and applications. 1st ed. London: Peter Peregrinus, Ltd; 1981.
53. Dubowsky S, Desforges DT. The application of model-referenced adaptive control to robotic manipulators. J Dyn Syst Meas Control
1979;101:193-200. DOI
54. Dubowsky S. On the adaptive control of robotic manipulators: the discrete-time case. IEEE Trans Automat Contr 1981. DOI
55. Nicosia S, Tomei P. Model reference adaptive control algorithms for industrial robots. Automatica 1984;20:635-44. DOI
56. Koivo A, Guo TH. Adaptive linear controller for robotic manipulators. IEEE Trans Automat Contr 1983;28:162-71. DOI
57. Horowitz R, Tomizuka M. An adaptive control scheme for mechanical manipulators - compensation of nonlinearity and decoupling
control. J Dyn Syst Meas Control 1986;108:127-35. DOI
58. Narendra KS, Parthasarathy K. Adaptive identification and control of dynamical systems using neural networks. Proceedings of the
28th IEEE Conference on Decision and Control; 1989 Dec 13-15; Tampa, FL, USA. 1989. p. 1737-8. DOI
59. Lee C. Fuzzy logic in control systems: fuzzy logic controller. II. IEEE Trans Syst, Man, Cybern 1990;20:419-35. DOI
60. Sutton RS, Barto AG, Williams RJ. Reinforcement learning is direct adaptive optimal control. IEEE Control Syst 1992;12:19-22.
DOI
61. Yechiel O. A survey of adaptive control. IRATJ 2017;3:0053. DOI PubMed
62. Malik O. Amalgamation of adaptive control and AI techniques: applications to generator excitation control. Annu Rev Control
2004;28:97-106. DOI
63. Hopfield JJ. Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci U S A
1982;79:2554-8. DOI PubMed PMC
64. Hopfield JJ, Tank DW. “Neural” computation of decisions in optimization problems. Biol Cybern 1985;52:141-52. DOI PubMed
65. Burr D. Experiments on neural net recognition of spoken and written text. IEEE Trans Acoust, Speech, Signal Processing
1988;36:1162-8. DOI
66. Gorman R, Sejnowski T. Learned classification of sonar targets using a massively parallel network. IEEE Trans Acoust, Speech,
Signal Processing 1988;36:1135-40. DOI
67. Sejnowski T, Rosenberg CR. Parallel networks that learn to pronounce English text. Complex Syst 1987;1:145-68.
68. Widrow B, Winter R, Baxter R. Layered neural nets for pattern recognition. IEEE Trans Acoust, Speech, Signal Processing
1988;36:1109-18. DOI
69. Levin AU, Narendra KS. Control of nonlinear dynamical systems using neural networks: controllability and stabilization. IEEE Trans
Neural Netw 1993;4:192-206. DOI PubMed
70. Narendra KS, Parthasarathy K. Identification and control of dynamical systems using neural networks. IEEE Trans Neural Netw
1990;1:4-27. DOI PubMed
71. Sontag ED. Feedback stabilization using two-hidden-layer nets. IEEE Trans Neural Netw 1992;3:981-90. DOI PubMed
72. Barto AG. Connectionist learning for control: an overview. In: Miller WT, Sutton RS, Werbos PJ. Neural networks for control.
Cambridge, MA, USA: MIT Press; 1990. p. 5-58.
73. Dai SL, Wang C, Wang M. Dynamic learning from adaptive neural network control of a class of nonaffine nonlinear systems. IEEE
Trans Neural Netw Learn Syst 2014;25:111-23. DOI PubMed
74. Chen CL, Liu YJ, Wen GX. Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems. IEEE
Trans Cybern 2014;44:583-93. DOI PubMed
75. Dai S, Wang M, Wang C. Neural learning control of marine surface vessels with guaranteed transient tracking performance. IEEE
Trans Ind Electron 2016;63:1717-27. DOI
76. Li H, Bai L, Wang L, Zhou Q, Wang H. Adaptive neural control of uncertain nonstrict-feedback stochastic nonlinear systems with
output constraint and unknown dead zone. IEEE Trans Syst Man Cybern, Syst 2017;47:2048-59. DOI
77. Cheng L, Liu W, Hou Z, Yu J, Tan M. Neural-network-based nonlinear model predictive control for piezoelectric actuators. IEEE
Trans Ind Electron 2015;62:7717-27. DOI
78. Ren B, Ge SS, Su CY, Lee TH. Adaptive neural control for a class of uncertain nonlinear systems in pure-feedback form with
hysteresis input. IEEE Trans Syst Man Cybern B Cybern 2009;39:431-43. DOI PubMed
79. Luo B, Huang T, Wu HN, Yang X. Data-driven H∞ control for nonlinear distributed parameter systems. IEEE Trans Neural Netw
Learn Syst 2015;26:2949-61. DOI PubMed
80. Liu Y, Tong S. Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems.
Automatica 2017;76:143-52. DOI
81. Li Y, Qiang S, Zhuang X, Kaynak O. Robust and adaptive backstepping control for nonlinear systems using RBF neural networks.
IEEE Trans Neural Netw 2004;15:693-701. DOI PubMed
82. Zhang H, Luo Y, Liu D. Neural-network-based near-optimal control for a class of discrete-time affine nonlinear systems with control
constraints. IEEE Trans Neural Netw 2009;20:1490-503. DOI PubMed
83. Barto AG, Sutton RS, Anderson CW. Neuronlike adaptive elements that can solve difficult learning control problems. IEEE Trans