A Simple Takagi-Sugeno Fuzzy Modelling Case Study for an Underwater Glider Control System

this paper is a section of several preliminary studies versus the realization of Underwater Drones of the Università degli Studi "Roma Tre" Science Department: we describe an application of Takagi-Sugeno fuzzy logic modelling to the longitudinal control for the underwater glider in order to simplify the calculation effort.

[1]  Rosario Morello,et al.  A Fuzzy Approach to Decision Making About Compliance of Environmental Electromagnetic Field With Exposure Limits , 2009, IEEE Transactions on Instrumentation and Measurement.

[2]  David M. Fratantoni,et al.  UNDERWATER GLIDERS FOR OCEAN RESEARCH , 2004 .

[3]  Plamen P. Angelov,et al.  Automatic generation of fuzzy rule-based models from data by genetic algorithms , 2003, Inf. Sci..

[4]  Gregorio Andria,et al.  Interpolated smoothed pseudo Wigner-Ville distribution for accurate spectrum analysis , 1996 .

[5]  T. Fukuda,et al.  Self-tuning fuzzy modeling with adaptive membership function, rules, and hierarchical structure based on genetic algorithm , 1995 .

[6]  Gaurav S. Sukhatme,et al.  Trajectory Design for Autonomous Underwater Vehicles Based on Ocean Model Predictions for Feature Tracking , 2009, FSR.

[7]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[8]  H. Stommel The Slocum Mission , 1989 .

[9]  Gregorio Andria,et al.  Kalman-kriging technique applied to space-aided distributed sensor system to manage critical environmental events , 2016, 2016 IEEE Metrology for Aerospace (MetroAeroSpace).

[10]  R. Davis,et al.  The autonomous underwater glider "Spray" , 2001 .

[11]  D.P. Filev,et al.  An approach to online identification of Takagi-Sugeno fuzzy models , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[12]  Vincent G. Ambrosia,et al.  Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use , 2012, Remote. Sens..

[13]  Joshua Grady Graver,et al.  UNDERWATER GLIDERS: DYNAMICS, CONTROL AND DESIGN , 2005 .

[14]  D. C. Webb,et al.  SLOCUM: an underwater glider propelled by environmental energy , 2001 .

[15]  Alistair Munro,et al.  Evolving fuzzy rule based controllers using genetic algorithms , 1996, Fuzzy Sets Syst..

[16]  Enrico Petritoli,et al.  A High Accuracy Attitude System for a Tailless Underwater Glider , 2017 .

[17]  W. R. Fried,et al.  Avionics Navigation Systems , 1969 .

[18]  Lorenzo Ciani,et al.  Reliability assessment of UAV systems , 2017, 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace).

[19]  Reg Austin,et al.  Unmanned Aircraft Systems: Uavs Design, Development and Deployment , 2010 .

[20]  M. B. Beck,et al.  Fuzzy control of the activated sludge wastewater treatment process , 1980, Autom..

[21]  David Meyer Glider Technology for Ocean Observations: A Review , 2016 .

[22]  C. Jekeli Inertial navigation systems with geodetic applications , 2000 .

[23]  Donald F. Specht,et al.  A general regression neural network , 1991, IEEE Trans. Neural Networks.

[24]  S.H. Dodington Navigation—An overview , 1983, Proceedings of the IEEE.

[25]  Christoph Waldmann,et al.  MOTH-An underwater glider design study carried out as part of the HGF alliance ROBEX , 2014, 2014 IEEE/OES Autonomous Underwater Vehicles (AUV).

[26]  Christopher Jekeli,et al.  Algorithms and Preliminary Experiences With the LN93 and LN100 for Airborne Vector Gravimetry , 1998 .

[27]  Keeley A. Crockett,et al.  A fuzzy model for predicting learning styles using behavioral cues in an conversational intelligent tutoring system , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[28]  Jian Zhang,et al.  Decentralized Fuzzy Hinfty Filtering for Nonlinear Interconnected Systems With Multiple Time Delays , 2010, IEEE Trans. Syst. Man Cybern. Part B.

[29]  C. C. Eriksen,et al.  Seaglider: a long-range autonomous underwater vehicle for oceanographic research , 2001 .

[30]  Plamen Angelov,et al.  Evolving Rule-Based Models: A Tool For Design Of Flexible Adaptive Systems , 2002 .

[31]  James G. Bellingham,et al.  Performance metrics for oceanographic surveys with autonomous underwater vehicles , 2001 .

[32]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[33]  Enrico Petritoli,et al.  A High Accuracy Navigation System for a Tailless Underwater Glider , 2017 .

[34]  T. Yoneyama,et al.  Takagi-Sugeno-Kang Fuzzy Structures in Dynamic System Modeling , 2006 .

[35]  Fabio Leccese,et al.  Reliability study for LEO satellites to assist the selection of end of life disposal methods , 2016, 2016 IEEE Metrology for Aerospace (MetroAeroSpace).

[36]  Fabio Leccese,et al.  Improvement of altitude precision in indoor and urban canyon navigation for small flying vehicles , 2015, 2015 IEEE Metrology for Aerospace (MetroAeroSpace).

[37]  Naomi Ehrich Leonard,et al.  Underwater Glider System Study , 2003 .

[38]  Fabio Leccese,et al.  Lightweight GNSS/IRS integrated navigation system for UAV vehicles , 2014, 2014 IEEE Metrology for Aerospace (MetroAeroSpace).

[39]  Gaurav S. Sukhatme,et al.  Persistent ocean monitoring with underwater gliders: Towards accurate reconstruction of dynamic ocean processes , 2011, 2011 IEEE International Conference on Robotics and Automation.

[40]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[41]  Russ E. Davis,et al.  The Autonomous Lagrangian Circulation Explorer (ALACE) , 1992 .

[42]  Timothy W. McLain,et al.  Small Unmanned Aircraft: Theory and Practice , 2012 .

[43]  Pasquale Daponte,et al.  DronesBench: an innovative bench to test drones , 2017, IEEE Instrumentation & Measurement Magazine.

[44]  Russ E. Davis,et al.  Autonomous Buoyancy-Driven Underwater Gliders , 2002 .

[45]  Rui Araújo,et al.  Online evolving fuzzy control design: An application to a CSTR plant , 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

[46]  Kimon P. Valavanis,et al.  Unmanned Aircraft Systems , 2009 .