Fuzzy Modeling for Control
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[1] M. Setnes,et al. Rule base simplification with similarity measures , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[2] Charles W. Anderson,et al. Strategy Learning with Multilayer Connectionist Representations , 1987 .
[3] Kaoru Hirota,et al. Nonlinear autoregressive model based on fuzzy relation , 1993, Inf. Sci..
[4] M. Narasimha Murty,et al. Clustering with evolution strategies , 1994, Pattern Recognit..
[5] Kumpati S. Narendra,et al. Adaptation and learning using multiple models, switching, and tuning , 1995 .
[6] J. H. De Vlieger. Minimum-time control of systems with saturation bounds , 1983 .
[7] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[8] R. Rovatti,et al. Takagi-Sugeno models as approximators in Sobolev norms: the SISO case , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[9] U. Kaymak,et al. A parametric generalized goal function for fuzzy decision making with unequally weighted objectives , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.
[10] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.
[11] Chuen-Chien Lee. FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .
[12] Robert Babuska,et al. Neural and fuzzy modeling in nonlinear predictive control : A comparative study , 1996 .
[13] R. Gorez,et al. A fuzzy clustering method for the identification of fuzzy models for dynamic systems , 1994, Proceedings of 1994 9th IEEE International Symposium on Intelligent Control.
[14] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[15] Lyle H. Ungar,et al. A hybrid neural network‐first principles approach to process modeling , 1992 .
[16] J. Richalet,et al. Industrial applications of model based predictive control , 1993, Autom..
[17] G. R. Walsh,et al. Methods Of Optimization , 1976 .
[18] Jyh-Shing Roger Jang,et al. Self-learning fuzzy controllers based on temporal backpropagation , 1992, IEEE Trans. Neural Networks.
[19] Y. Nakamori,et al. Identification of Fuzzy Prediction Models Through Hyperellipsoidal Clustering , 1994, IEEE Trans. Syst. Man Cybern. Syst..
[20] Robert Babuška,et al. An overview of fuzzy modeling for control , 1996 .
[21] E. L. Lawler,et al. Branch-and-Bound Methods: A Survey , 1966, Oper. Res..
[22] Uzay Kaymak,et al. A comparative study of fuzzy and conventional criteria in model-based predictive control , 1997, Proceedings of 6th International Fuzzy Systems Conference.
[23] Chin-Teng Lin,et al. A neural fuzzy control system with structure and parameter learning , 1995 .
[24] R.J. Hathaway,et al. Switching regression models and fuzzy clustering , 1993, IEEE Trans. Fuzzy Syst..
[25] Sheng Chen,et al. Representations of non-linear systems: the NARMAX model , 1989 .
[26] W. Pedrycz. An identification algorithm in fuzzy relational systems , 1984 .
[27] J. C. Dunn,et al. A Graph Theoretic Analysis of Pattern Classification via Tamura's Fuzzy Relation , 1974, IEEE Trans. Syst. Man Cybern..
[28] Robert Babuska,et al. Fuzzy modeling of enzymatic penicillin-G conversion , 1996 .
[29] Chuen-Tsai Sun,et al. Functional equivalence between radial basis function networks and fuzzy inference systems , 1993, IEEE Trans. Neural Networks.
[30] V. Novak,et al. A horizon shifting model of linguistic hedges for approximate reasoning , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[31] Karl Johan Åström,et al. Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.
[32] H. J. Osburn,et al. WEAR OF ROCK-CUTTING TOOLS , 1969 .
[33] R. Jager,et al. Fuzzy Logic in Control , 1995 .
[34] R. Babuška,et al. A new identification method for linguistic fuzzy models , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..
[35] Sankar K. Pal,et al. Fuzzy models for pattern recognition , 1992 .
[36] Stephen P. Boyd,et al. Linear Matrix Inequalities in Systems and Control Theory , 1994 .
[37] Enrique H. Ruspini,et al. Numerical methods for fuzzy clustering , 1970, Inf. Sci..
[38] George Lakoff,et al. Hedges: A Study In Meaning Criteria And The Logic Of Fuzzy Concepts , 1973 .
[39] Henk B. Verbruggen,et al. Two-step approach in the training of regulated activation weight neural networks (RAWN) , 1997 .
[40] J. Friedman. Multivariate adaptive regression splines , 1990 .
[41] Eduardo F. Camacho,et al. Model predictive control in the process industry , 1995 .
[42] Robert Babuska,et al. Fuzzy predictive control applied to an air-conditioning system , 1997 .
[43] Edward T. Lee,et al. Fuzzy Neural Networks , 1975 .
[44] J. C. Dunn,et al. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .
[45] Israel Zang,et al. A smoothing-out technique for min—max optimization , 1980, Math. Program..
[46] Isak Gath,et al. Unsupervised Optimal Fuzzy Clustering , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[47] Raghu Krishnapuram,et al. Fitting an unknown number of lines and planes to image data through compatible cluster merging , 1992, Pattern Recognit..
[48] Robert Babuska,et al. Model-Based Design of Fuzzy Control Systems , 1995 .
[49] E. Backer,et al. Computer-assisted reasoning in cluster analysis , 1995 .
[50] E. H. Mamdani,et al. A GENERAL APPROACH TO LINGUISTIC APPROXIMATION , 1979 .
[51] E. H. Mamdani,et al. Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.
[52] Philip E. Gill,et al. Practical optimization , 1981 .
[53] Michio Sugeno,et al. A fuzzy-logic-based approach to qualitative modeling , 1993, IEEE Trans. Fuzzy Syst..
[54] Frank Klawonn,et al. Modifications of genetic algorithms for designing and optimizing fuzzy controllers , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[55] Keith R. Godfrey,et al. Perturbation signals for system identification , 1993 .
[56] Robert Babuška,et al. Genetic algorithms for optimization in predictive control , 1997 .
[57] James M. Keller,et al. A possibilistic approach to clustering , 1993, IEEE Trans. Fuzzy Syst..
[58] R. Luus. Optimal control by dynamic programming using systematic reduction in grid size , 1990 .
[59] J. Kacprzyk. Multistage Fuzzy Control: A Model-Based Approach to Fuzzy Control and Decision Making , 1997 .
[60] Xiao-Jun Zeng,et al. Approximation theory of fuzzy systems-SISO case , 1994, IEEE Trans. Fuzzy Syst..
[61] W. Pedrycz,et al. Construction of fuzzy models through clustering techniques , 1993 .
[62] Henk B. Verbruggen,et al. The Role of Defuzzification Methods in the Application of Fuzzy Control , 1992 .
[63] Sholom M. Weiss,et al. Computer Systems That Learn , 1990 .
[64] E. Czogala. Multistage decision-making under fuzziness: Janusz Kacprzyk Volume 79 in: ISR Interdisciplinary Systems Research, Verlag TÜV Rheinland, Köln, 1983, x + 128 pages, DM42.00, paperback , 1983 .
[65] James C. Bezdek,et al. On cluster validity for the fuzzy c-means model , 1995, IEEE Trans. Fuzzy Syst..
[66] E. Mizutani,et al. Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.
[67] Thomas Parisini,et al. A receding-horizon regulator for nonlinear systems and a neural approximation , 1995, Autom..
[68] James C. Bezdek,et al. A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[69] Li-Xin Wang,et al. Adaptive fuzzy systems and control - design and stability analysis , 1994 .
[70] Richard Bellman,et al. Decision-making in fuzzy environment , 2012 .
[71] Lennart Ljung,et al. Nonlinear black-box modeling in system identification: a unified overview , 1995, Autom..
[72] Arjan van der Schaft,et al. Non-linear dynamical control systems , 1990 .
[73] Mihajlo D. Mesarovic,et al. Abstract Systems Theory , 1989 .
[74] Kazuo Tanaka,et al. Stability analysis and design of fuzzy control systems , 1992 .
[75] Michel Verhaegen,et al. Identifying MIMO Wiener systems using subspace model identification methods , 1996, Signal Process..
[76] L. Wang,et al. Fuzzy systems are universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.
[77] Donald Gustafson,et al. Fuzzy clustering with a fuzzy covariance matrix , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[78] Henk B. Verbruggen,et al. Design and real time testing of a neural model predictive controller for a nonlinear system , 1995 .
[79] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[80] Lotfi A. Zadeh,et al. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..
[81] J. Bezdek,et al. Grouped coordinate minimization using Newton's method for inexact minimization in one vector coordinate , 1991 .
[82] H. Berenji,et al. Clustering in product space for fuzzy inference , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.
[83] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[84] Kazuo Tanaka,et al. Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: quadratic stabilizability, H∞ control theory, and linear matrix inequalities , 1996, IEEE Trans. Fuzzy Syst..
[85] R.N. Dave. Boundary detection through fuzzy clustering , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.
[86] Carl de Boor,et al. A Practical Guide to Splines , 1978, Applied Mathematical Sciences.
[87] James S. Albus,et al. New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)1 , 1975 .
[88] M. Chung,et al. Identification of fuzzy relational model and its application to control , 1993 .
[89] W. DeSarbo. Gennclus: New models for general nonhierarchical clustering analysis , 1982 .
[90] W. Pedrycz. Applications of fuzzy relational equations for methods of reasoning in presence of fuzzy data , 1985 .
[91] Robert W. Gunderson. An Adaptive FCV Clustering Algorithm , 1983, Int. J. Man Mach. Stud..
[92] R. Babuska,et al. Improved inference for Takagi-Sugeno models , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[93] Karen L. McGraw,et al. Knowledge Acquisition: Principles and Guidelines , 1989 .
[94] L. G. Mitten. Branch-and-Bound Methods: General Formulation and Properties , 1970, Oper. Res..
[95] R. Howard,et al. Local convergence analysis of a grouped variable version of coordinate descent , 1987 .
[96] M. Sugeno,et al. Structure identification of fuzzy model , 1988 .
[97] Robert Babuska,et al. Knowledge-based fuzzy model for performance prediction of a rock-cutting trencher , 1997, Int. J. Approx. Reason..
[98] Martin Brown,et al. Neurofuzzy adaptive modelling and control , 1994 .
[99] Miin-Shen Yang. A survey of fuzzy clustering , 1993 .
[100] M. Setnes,et al. Fuzzy modeling and similarity analysis applied to ecological data , 1997, Proceedings of 6th International Fuzzy Systems Conference.
[101] Robert Babuska,et al. Comparison of intelligent control schemes for real-time pressure control , 1996 .
[102] Benjamin C. Kuo,et al. Digital Control Systems , 1977 .
[103] Michael Athans,et al. On the adaptive control of linear systems using the open-loop-feedback-optimal approach , 1972, CDC 1972.
[104] Peter J. Gawthrop,et al. Neural networks for control systems - A survey , 1992, Autom..
[105] Kazuo Tanaka,et al. Successive identification of a fuzzy model and its applications to prediction of a complex system , 1991 .
[106] George J. Klir,et al. Fuzzy sets and fuzzy logic - theory and applications , 1995 .
[107] V. Novák. Fuzzy sets and their applications , 1989 .
[108] Bart Kosko,et al. Fuzzy Systems as Universal Approximators , 1994, IEEE Trans. Computers.
[109] Dr. Rainer Palm,et al. Model Based Fuzzy Control , 1997, Springer Berlin Heidelberg.