"Nonlinear Process Modelling and Control Using Neurofuzzy Networks"

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Book	Author(s)	Year	Publisher
Nonlinear adaptive control using backpropagating neural networks	Kurt William Menke	1992	Naval Postgraduate School;Available from National Technical Information Service
Nonlinear process control /	Henson, Michael A.; Seborg, Dale E.	[1997], ©1997.	Prentice Hall PTR,
Modelling and Control of Dynamic Systems Using Gaussian Process Models	Juš Kocijan	1st ed. 2016	Springer International Publishing
Process Modelling, Identification, and Control	Ján Mikleš; Miroslav Fikar	2007	Springer Berlin Heidelberg
Process modelling, identification, and control	Ján Mikleš	2000	Slovak Technical University Press
Nonlinear Control of Dynamic Networks	Tengfei Liu; Zhong-Ping Jiang; David J. Hill	2014	Routledge
Nonlinear Control of Dynamic Networks	Tengfei Liu, Zhong-Ping Jiang, David J. Hill	2014	CRC Press
Nonlinear Model Based Process Control	R. Berber; Costas Kravaris	1998	Springer Netherlands
Analysis and Control of Nonlinear Process Systems	Katalin M. Hangos; József Bokor; Gábor Szederkényi	2004	Springer London
Nonlinear Process Control: Applications of Generic Model Control	Peter L. Lee	1993	Springer London
Nonlinear process control: applications of generic model control /	Lee, Peter L.,	[1993], ©1993.	Springer-Verlag,
Nonlinear Process Control: : Applications of Generic Model Control	Peter L. Lee	1993	Springer London
Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques	Benoît Codrons	2005	Springer London
Nonlinear Control Systems Using MATLAB®	Mourad Boufadene	2018	Routledge
Modelling control systems using IEC 61499.	Zoitl, Alois.; Lewis, R. W.	2014.	The Institution of Engineering and Technology,
Modelling Control Systems Using IEC 61499	Alois Zoitl, Robert W. Lewis	2014	The Institution of Engineering and Technology
Application of neural networks to modelling and control /	Page, G. F.; Gomm, J. B.; Williams, D.	1993.	Chapman & Hall,
Dynamics and Nonlinear Control of Integrated Process Systems	Michael Baldea; Prodromos Daoutidis	2012-08	Cambridge University Press
Modelling, Simulation and Control of the Dyeing Process	R. Shamey and X. Zhao	2014	Woodhead Publishing
Modelling Non-Markovian Quantum Systems Using Tensor Networks	Aidan Strathearn	1st ed. 2020	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Nonlinear Process Modelling and Control Using Neurofuzzy Networks	Jie Zhang	Handbook of Natural Computing	Grzegorz Rozenberg; Thomas Bäck; Joost N. Kok	2012	Springer Berlin Heidelberg
Neurofuzzy linearisation modelling for nonlinear state estimation	Chris Harris; Xia Hong; Qiang Gan	Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach	Chris Harris; Xia Hong; Qiang Gan	2002	Springer Berlin Heidelberg
Fuzzy and neurofuzzy modelling	Chris Harris; Xia Hong; Qiang Gan	Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach	Chris Harris; Xia Hong; Qiang Gan	2002	Springer Berlin Heidelberg
Parsimonious neurofuzzy modelling	Chris Harris; Xia Hong; Qiang Gan	Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach	Chris Harris; Xia Hong; Qiang Gan	2002	Springer Berlin Heidelberg
Local neurofuzzy modelling	Chris Harris; Xia Hong; Qiang Gan	Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach	Chris Harris; Xia Hong; Qiang Gan	2002	Springer Berlin Heidelberg
Process control using nonlinear programming techniques	B. Wayne Bequette	Analysis and Optimization of Systems: Proceedings of the 9th International Conference, Antibes, June 12–15, 1990	A. Bensoussan; J.L. Lions	1990	Springer Berlin Heidelberg
Nicely Nonlinear Modelling and Control	Guido O. Guardabassi	Systems, Models and Feedback: Theory and Applications: Proceedings of a U. S. -Italy Workshop in honor of Professor Antonio Ruberti, Capri, 15–17, June 1992	A. Isidori; Tarn	1992	Birkhäuser Boston
PROCESS CONTROL USING RECURRENT NEURAL NETWORKS	T. CHOVAN; T. CATFOLIS; K. MEERT	Computer Software Structures Integrating Ai/kbs Systems in Process Control	K. -E. Arzen	1994	Pergamon
Knowledge based modular networks for process modelling and control	J. Peres; R. Oliveira; S. Feyo de Azevedo	European Symposium on Computer Aided Process Engineering-10	Sauro Pierucci	2000	Elsevier
Process Control System Modelling	Thomas Muth	Modeling Telecom Networks and Systems Architecture: Conceptual Tools and Formal Methods	Thomas Muth	2001	Springer Berlin Heidelberg
Modelling of nonlinear process dynamics using Kohonen's neural networks, fuzzy systems and Chebyshev series	A.P. Alexandridis; C.I. Siettos; H.K. Sarimveis; A.G. Boudouvis; G.V Bafas	European Symposium on Computer Aided Process Engineering - 11, 34 European Symposium of the Working Party on Computer Aided Process Engineering	Rafiqul Gani; Sten Bay Jørgensen	2001	Elsevier
6 Gaussian process approaches to nonlinear modelling for control		Intelligent Control Systems Using Computational Intelligence Techniques	Antonio Ruano	2005	Institution of Engineering and Technology
Generalized predictive neurofuzzy control model for nonlinear dynamical systems	E. Kaymaz and S. Mitra	Applications of fuzzy logic technology II: 19-21 April, 1995, Orlando, Florida /	Bosacchi, Bruno.; Bezdek, James C.,	[1995], ©1995.	SPIE,
7. Artificial Neural Networks for Nonlinear Process Identification and Control.		Nonlinear process control /	Henson, Michael A.; Seborg, Dale E.	[1997], ©1997.	Prentice Hall PTR,
Wavelet Networks for Modelling Nonlinear Processes	N. Roqueiro; E. L. Lima	Wavelet Theory and Harmonic Analysis in Applied Sciences	Carlos E. D'Attellis; Elena M. Fernandez-Berdaguer	1997	Birkhäuser Boston
Nonlinear Control with Neural Networks	Yves Chauvin; David E. Rumelhart	Backpropagation: Theory, Architectures, and Applications	Yves Chauvin; David E. Rumelhart	1995	Routledge
Introduction to Nonlinear Systems Modelling and Control	Michael J. Grimble; Paweł Majecki	Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach	Michael J. Grimble; Paweł Majecki	1st ed. 2020	Springer London
Self-Organizing Hybrid Neurofuzzy Networks	Sung-Kwun Oh; Su-Chong Joo; Chang-Won Jeong; Hyun-Ki Kim	Computational Science — ICCS 2003: International Conference, Melbourne, Australia and St. Petersburg, Russia, June 2–4, 2003, Proceedings, Part IV	Peter M.A. Sloot; David Abramson; Alexander V. Bogdanov; Jack J. Dongarra; Albert Y. Zomaya; Yuriy E. Gorbachev	2003	Springer Berlin Heidelberg
Real-Time Gaze Control Using Neurofuzzy Prediction System	Margarita-Arimatea Díaz-Cortés; Erik Cuevas; Raúl Rojas	Engineering Applications of Soft Computing	Margarita-Arimatea Díaz-Cortés; Erik Cuevas; Raúl Rojas	1st ed. 2017	Springer International Publishing
ADVANCES IN NEUROFUZZY ALGORITHMS FOR REAL TIME MODELLING, CONTROL AND ESTIMATION	C.J. Harris; M. Brown	Safety, Reliability and Applications of Emerging Intelligent Control Technologies	T. S. Ng and Y. S. Hung	1995	Pergamon
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