Autonomous intelligent cruise control using a novel multiple-controller framework incorporating fuzzy-logic-based switching and tuning

[1]  Roberto Horowitz,et al.  Emergency vehicle maneuvers and control laws for automated highway systems , 1998, IEEE Trans. Intell. Transp. Syst..

[2]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[3]  J. Karl Hedrick,et al.  Model-Driven Hybrid and Embedded Software for Automotive Applications , 2022 .

[4]  On reduced variance overparametrized pole assignment control , 1998 .

[5]  Luca Zaccarian,et al.  A common framework for anti-windup, bumpless transfer and reliable designs , 2002, Autom..

[6]  José Eugenio Naranjo,et al.  Adaptive fuzzy control for inter-vehicle gap keeping , 2003, IEEE Trans. Intell. Transp. Syst..

[7]  Thomas S. Brinsmead,et al.  Multiple model adaptive control. Part 2: switching , 2001 .

[8]  Rubiyah Yusof,et al.  A multivariable self-tuning PID controller , 1993 .

[9]  Amir Hussain,et al.  A novel multiple-controller incorporating a radial basis function neural network based generalized learning model , 2006, Neurocomputing.

[10]  Paul G. Griffiths.  Embedded Software Control Design for an Electronic Throttle Body , 2002 .

[11]  Okyay Kaynak,et al.  Robust and adaptive backstepping control for nonlinear systems using RBF neural networks , 2004, IEEE Transactions on Neural Networks.

[12]  Marimuthu Palaniswami,et al.  Effects of moving the center's in an RBF network , 2002, IEEE Trans. Neural Networks.

[13]  Quanmin Zhu,et al.  A neural network enhanced generalized minimum variance self-tuning proportional, integral and derivative control algorithm for complex dynamic systems , 2002 .

[14]  C. Y. Cheng,et al.  Autonomous intelligent cruise control using both front and back information for tight vehicle following maneuvers , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[15]  Quanmin Zhu,et al.  Neural network enhanced generalised minimum variance self-tuning controller for nonlinear discrete-time systems , 1999 .

[16]  Stephen Yurkovich,et al.  Fuzzy Control , 1997 .

[17]  Kumpati S. Narendra,et al.  Adaptive control of discrete-time systems using multiple models , 2000, IEEE Trans. Autom. Control..

[18]  Martin Pellkofer,et al.  EMS-Vision: a perceptual system for autonomous vehicles , 2002, IEEE Trans. Intell. Transp. Syst..

[19]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[20]  Meiqin Liu.  Stability analysis of neutral-type nonlinear delayed systems: An LMI approach , 2006 .

[21]  Michael J. Grimble,et al.  A nonlinear PID-Based Multiple controller Incorporating a Multilayered Neural Network Learning submodel , 2006, Control. Intell. Syst..

[22]  Kaddour Najim.  Control of Continuous Linear Systems , 2006 .

[23]  Mandayam A. L. Thathachar,et al.  On the stability of fuzzy systems , 1997, IEEE Trans. Fuzzy Syst..

[24]  Petros A. Ioannou,et al.  Using front and back information for tight vehicle following maneuvers , 1999 .

[25]  Wei Ren,et al.  Use of neural fuzzy networks with mixed genetic/gradient algorithm in automated vehicle control , 1999, IEEE Trans. Ind. Electron..

[26]  Robert M. Sanner,et al.  Gaussian Networks for Direct Adaptive Control , 1991, 1991 American Control Conference.

[27]  Miguel Ángel Sotelo,et al.  Using Fuzzy Logic in Automated Vehicle Control , 2006 .

[28]  Petros A. Ioannou,et al.  Throttle and Brake Control Systems for Automatic Vehicle following , 1994, J. Intell. Transp. Syst..

[29]  Toru Yamamoto,et al.  A Neural-Net Based Controller Supplementing a Multiloop PID Control System , 2002, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[30]  Liu Meiqin.  Stability analysis of neutral-type nonlinear delayed systems: An LMI approach * , 2006 .

[31]  Marimuthu Palaniswami,et al.  Effects of moving the centers in an RBF network , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[32]  Ian D. Walker,et al.  Diagnosis of automotive electronic throttle control systems , 2004 .

[33]  F. R. Gantmakher.  The Theory of Matrices , 1984 .

[34]  W. Godwin.  Article in Press , 2000 .

[35]  Ping He,et al.  Stability criteria of linear neutral systems with a single delay , 2004, Appl. Math. Comput..

[36]  Joaquim Melendez,et al.  Fuzzy identification for fault isolation. Application to analog circuits diagnosis , .

[37]  M. Farsi,et al.  Intelligent multi-controller assessment using fuzzy logic , 1996, Fuzzy Sets Syst..

[38]  Kun Li,et al.  Modeling of traffic flow of automated vehicles , 2004, IEEE Transactions on Intelligent Transportation Systems.

[39]  Peter Lancaster,et al.  The theory of matrices , 1969 .

[40]  Marzuki Khalid,et al.  Self-tuning PID control: A multivariable derivation and application , 1993, Autom..

[41]  B. Widrow,et al.  Neural networks for self-learning control systems , 1990, IEEE Control Systems Magazine.

[42]  Jay H. Lee,et al.  Model-based iterative learning control with a quadratic criterion for time-varying linear systems , 2000, Autom..