Flatness-based adaptive fuzzy control for nonlinear dynamical systems

IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Volumn , Issue , 2011, Pages 1016-1021

  Rigatos, Gerasimos G ^a  

^a INDUSTRIAL SYSTEMS INSTITUTE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION LAW; ADAPTIVE FUZZY CONTROL; APPROXIMATORS; BRUNOVSKY; CLOSED LOOPS; CONTROL INPUTS; CONTROL SIGNAL; LYAPUNOV STABILITY ANALYSIS; NEURO-FUZZY; NEURO-FUZZY NETWORK; NONLINEAR ELEMENTS; SIMULATION EXPERIMENTS; STATE VARIABLES;

DYNAMICAL SYSTEMS; FUZZY CONTROL; INTELLIGENT MECHATRONICS; NONLINEAR DYNAMICAL SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

EID: 80053993375     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIM.2011.6027088     Document Type: Conference Paper

References (13)

1. J. Rudolph, Flatness Based Control of Distributed Parameter Systems, Steuerungs- und Regelungstechnik, Shaker Verlag, Aachen, 2003.
2. M. Fliess and H. Mounier, Tracking control and π-freeness of infinite dimensional linear systems, In: G. Picci and D.S. Gilliam Eds.,Dynamical Systems, Control, Coding and Computer Vision, vol. 258, pp. 41-68, Birkhaüser, 1999.
3. J. Villagra, B. d'Andrea-Novel, H. Mounier and M. Pengov, Flatness-based vehicle steering control strategy with SDRE feedback gains tuned via a sensitivity approach, IEEE Transactions on Control Systems Technology, vol. 15, pp. 554- 565, 2007.
4. B. Laroche, P. Martin, and N. Petit, Commande par platitude: Equations diffrentielles ordinaires et aux derives partielles, Ecole Nationale Supérieure des Techniques Avancées, Paris, 2007.
5. Ph. Martin and P. Rouchon, Systèmes plats: planification et suivi des trajectoires, Journées X-UPS, École des Mines de Paris, Centre Automatique et Systèmes, Mai,1999.
6. ∞ tracking of SISO nonlinear systems, International Journal of Neural Systems, World Scientific, vol. 18, no.4, pp. 1-16, 2008
7. G.G. Rigatos and S.G. Tzafestas, Adaptive Fuzzy Control for the Ship Steering Problem, Journal of Mechatronics, Elsevier, vol. 16, no. 6, pp. 479-489, 2006.
8. G.G. Rigatos, Adaptive fuzzy control of DC motors using state and output feedback, Electric Power Systems Research, Elsevier, vol. 79, no.11, pp. 1579-1592 2009.
9. G.G. Rigatos, Autonomous robot navigation using flatness-based control and multi-sensor fusion, in: Robotics, Automation and Control (P. Pecherkova, M. Flidr and J. Dunik eds), InTech Publications, Vienna, Austria, pp. 394-416, 2008.
10. S. Tong, H-X. Li and G. Chen, Adaptive Fuzzy Decentralized Control for a Class of Large-Scale Nonlinear Systems, IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 34, no.1, pp. 770-775, 2004.
11. L.X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice Hall, Englewood Cliffs, 1994.
12. L.X. Wang, A course in fuzzy systems and control, Prentice-Hall, 1998.
13. J.H. Horng, Neural adaptive tracking control of a DC motor, Information Sciences, Elsevier. vol. 118, pp. 1-13, 1999.