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International Journal of Control Volume 56, 1992 - Issue 2
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Original Articles

A unified real-time approximate reasoning approach for use in intelligent control Part 1. Theoretical development

D. A. LINKENS Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, SI 3JD, U.K.
&
JUNHONG NIE Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, SI 3JD, U.K.
Pages 347-363 | Received 22 Jun 1991, Published online: 27 Mar 2007

Citations (19)

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Read on this site (5)

DEREKA. LINKENS & H. OKOLA NYONGESA. (1996) A hierarchical multivariable fuzzy controller for learning with genetic algorithms. International Journal of Control 63:5, pages 865-883.
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JUNHONG NIE & D. A. LINKENS. (1994) Fast self-learning multivariable fuzzy controllers constructed from a modified CPN network. International Journal of Control 60:3, pages 369-393.
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JUNHONG NIE & D. A. LINKENS. (1994) A hybrid neural-network-based self-organizing controller. International Journal of Control 60:2, pages 197-222.
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D. A. LINKENS & JUNHONG NIE. (1993) Constructing rule-bases for multivariable fuzzy control by self-learning Part 2. Rule-base formation and blood pressure control application. International Journal of Systems Science 24:1, pages 129-157.
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JUNHONG NIE & D. A. LINKENS. (1992) Neural network-based approximate reasoning: principles and implementation. International Journal of Control 56:2, pages 399-413.
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Articles from other publishers (14)

Ravi Kumar Soni, M. J. Nigam & R. Mitra. (2015) Implementation of Hybrid Neuro-fuzzy controller based on Radial Basis Function Network with gradient descent algorithm for non-linear system. Implementation of Hybrid Neuro-fuzzy controller based on Radial Basis Function Network with gradient descent algorithm for non-linear system.
Teo Lian Seng, M. Bin Khalid & R. Yusof. (1999) Tuning of a neuro-fuzzy controller by genetic algorithm. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 29:2, pages 226-236.
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Minyou Chen & D.A. Linkens. (1998) A hybrid neuro-fuzzy PID controller. Fuzzy Sets and Systems 99:1, pages 27-36.
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Seng Teo Lian, Khalid Marzuki & Yusof Rubiyah. (1998) Tuning of a neuro-fuzzy controller by genetic algorithms with an application to a coupled-tank liquid-level control system. Engineering Applications of Artificial Intelligence 11:4, pages 517-529.
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Junhong Nie & T.H. Lee. (1997) Self-organizing rule-based control of multivariable nonlinear servomechanisms. Fuzzy Sets and Systems 91:3, pages 285-304.
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Teo Lian Seng, Marzuki Khalid & Rubiyah Yusof. (1997) Self-Tuning Neuro-Fuzzy Controller by Genetic Algorithm with Application to a Coupled-Tank. IFAC Proceedings Volumes 30:25, pages 29-34.
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Chih-Hsin Tsai, Jing-Sin Liu, Kuo-Bin Tseng & Wei-Song Lin. (1997) A stable neuro-fuzzy controller for output tracking in composite nonlinear systems. A stable neuro-fuzzy controller for output tracking in composite nonlinear systems.
O. Wolkenhauer & J. Edmunds. (1997) Dynamic systems reliability evaluation using uncertainty techniques for performance monitoring. IEE Proceedings - Control Theory and Applications 144:1, pages 103-108.
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Xiao-Jun Zeng & M.G. Singh. (1996) Decomposition property of fuzzy systems and its applications. IEEE Transactions on Fuzzy Systems 4:2, pages 149-165.
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Junhong Nie, A.P. Loh & C.C. Hang. (1996) Modeling pH neutralization processes using fuzzy-neural approaches. Fuzzy Sets and Systems 78:1, pages 5-22.
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Xiao-Jun Zeng & M.G. Singh. (1996) Approximation accuracy analysis of fuzzy systems as function approximators. IEEE Transactions on Fuzzy Systems 4:1, pages 44-63.
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Derek A. Linkens & Junhong Nie. (1994) Fuzzy-Neural Control with Application to Biomedicine. IFAC Proceedings Volumes 27:1, pages 9-14.
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D.A. Linkens & J. Nie. (1993) Fuzzified RBF network-based learning control: structure and self-construction. Fuzzified RBF network-based learning control: structure and self-construction.
J. Nie & D.A. Linkens. (1993) Learning control using fuzzified self-organizing radial basis function network. IEEE Transactions on Fuzzy Systems 1:4, pages 280-287.
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