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Original Articles

An adaptive control for CARMA systems using linear neural networks

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Pages 483-497 | Received 14 Nov 1991, Published online: 27 Mar 2007

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S.G. Tzafestas & G.G. Rigatos. (2000) Self-tuning multivariable fuzzy and neural control using genetic algorithms. Journal of Information and Optimization Sciences 21:2, pages 257-287.
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JUN WANG & GUANG WU. (1995) Recurrent neural networks for synthesizing linear control systems via pole placement. International Journal of Systems Science 26:12, pages 2369-2382.
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KEVIN WARWICK. (1995) A critique of neural networks for discrete-time linear control. International Journal of Control 61:6, pages 1253-1264.
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Articles from other publishers (21)

Kiavash Hossein Sadeghi, Abohassan Razminia & Abolfazl Simorgh. (2024) CONTROL AND IDENTIFICATION OF CONTROLLED AUTO-REGRESSIVE MOVING AVERAGE (CARMA) FORM OF AN INTRODUCED SINGLE-INPUT SINGLE-OUTPUT TUMOR MODEL. International Journal of Engineering Technologies and Management Research 11:2.
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Spyros G TzafestasSpyros G. Tzafestas. 2018. Energy, Information, Feedback, Adaptation, and Self-organization. Energy, Information, Feedback, Adaptation, and Self-organization 337 408 .
Spyros G. Tzafestas & Andreas-Ioannis Mantelos. 2013. Engineering Creative Design in Robotics and Mechatronics. Engineering Creative Design in Robotics and Mechatronics 208 238 .
Rafiuddin Syam, Keigo Watanabe & Kiyotaka Izumi. (2007) A Neuro-interface with fuzzy compensator for controlling nonholonomic mobile robots. Neural Computing and Applications 17:5-6, pages 449-461.
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H. Rıza Özçalık. 2006. Advances in Neural Networks - ISNN 2006. Advances in Neural Networks - ISNN 2006 1075 1083 .
K. Watanabe, R. Syam & M. Izumi. (2005) A neurointerface with an adaptive fuzzy compensator for controlling nonholonomic mobile robots. A neurointerface with an adaptive fuzzy compensator for controlling nonholonomic mobile robots.
I. Lizarraga & V. Etxebarria. (1999) Real-time adaptive neural control of a class of nonlinear systems. Engineering Applications of Artificial Intelligence 12:1, pages 3-19.
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Tsu-Tian Lee & Jin-Tsong Jeng. (1998) The Chebyshev-polynomials-based unified model neural networks for function approximation. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 28:6, pages 925-935.
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Jun Wang. 1998. Control and Dynamic System. Control and Dynamic System 75 126 .
S. M. Yang & G. S. Lee. (1997) Vibration Control of Smart Structures by Using Neural Networks. Journal of Dynamic Systems, Measurement, and Control 119:1, pages 34-39.
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Jin-Tsong Jeng & Tsu-Tian Lee. (1997) The Chebyshev polynomials based unified model (CPBUM) neural network for the identification and control of nonlinear H/sub ∞/ problems. The Chebyshev polynomials based unified model (CPBUM) neural network for the identification and control of nonlinear H/sub ∞/ problems.
N. Saadia, Y. Amirat, J. Pontnau & A. Ramdane-Cherif. 1997. Artificial Neural Networks — ICANN'97. Artificial Neural Networks — ICANN'97 781 786 .
Kevin Warwick. (1996) Neural networks for linear control: An analysis. Mathematics and Computers in Simulation 41:1-2, pages 29-37.
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Gwo-Shiang Lee. (1996) System identification and control of smart structures using neural networks. Acta Astronautica 38:4-8, pages 269-276.
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Zong-Mu Yeh. (1995) Design of adaptive neural net controller. Design of adaptive neural net controller.
K. Warwich. (1995) The control of dynamical systems by neural networks. The control of dynamical systems by neural networks.
J.B. Galvan, M.J. Perez-Ilzarbe & G. Lera. (1994) A neural network based linear controller. A neural network based linear controller.
V. Etxebarria. (1994) Indirect adaptive control of discrete DARMA systems using neural networks. Indirect adaptive control of discrete DARMA systems using neural networks.
Jun Wang & Guang Wu. (1994) A multilayer recurrent neural network for real-time synthesis of linear-quadratic optimal control systems. A multilayer recurrent neural network for real-time synthesis of linear-quadratic optimal control systems.
Agarwal. (1994) A systematic classification of neural-network-based control. A systematic classification of neural-network-based control.
H.C. Andersen, F.C. Teng & A.C. Tsoi. (1994) Single net indirect learning architecture. IEEE Transactions on Neural Networks 5:6, pages 1003-1005.
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