Improved adaptive-reinforcement learning control for morphing unmanned air vehicles

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 38, Issue 4, 2008, Pages 1014-1020

  Valasek, John ^a   Doebbler, James ^a   Tandale, Monish D ^b   Meade, Andrew J ^c  

^a TEXAS A AND M UNIVERSITY   (United States)

^b OPTIMAL SYNTHESIS INC   (United States)

^c RICE UNIVERSITY   (United States)

Author keywords

Adaptive control; Approximation methods; Learning control systems; Shape control; Unmanned air vehicles

Indexed keywords

EDUCATION; LEARNING SYSTEMS; MATHEMATICAL PROGRAMMING; OBJECT RECOGNITION; POLYNOMIAL APPROXIMATION; REINFORCEMENT; REINFORCEMENT LEARNING; SYSTEMS ENGINEERING; UNMANNED AERIAL VEHICLES (UAV); UNMANNED VEHICLES; VEHICLES;

ACTOR-CRITIC ALGORITHMS; ADAPTIVE CONTROL; APPROXIMATION METHODS; CONTINUOUS STATES; CONTROL FUNCTIONS; DYNAMIC INVERSION; GALERKIN; IMPROVED METHODS; K-NEAREST NEIGHBORS; LEARNING CONTROL SYSTEMS; LEARNING SIMULATION; MORPHING; OPTIMAL SHAPES; Q-LEARNING METHOD; QUANTIZED STATES; REINFORCEMENT LEARNING CONTROL; SCATTERED DATA APPROXIMATION; SEQUENTIAL FUNCTION APPROXIMATION; SHAPE CONTROL; UNMANNED AIR VEHICLE; UNMANNED AIR VEHICLES;

LEARNING ALGORITHMS;

AIRCRAFT; ALGORITHM; ARTICLE; COMPUTER SIMULATION; FEEDBACK SYSTEM; METHODOLOGY; REINFORCEMENT; ROBOTICS; SYSTEM ANALYSIS; SYSTEMS THEORY; THEORETICAL MODEL;

AIRCRAFT; ALGORITHMS; COMPUTER SIMULATION; FEEDBACK; MODELS, THEORETICAL; PROGRAMMING, LINEAR; REINFORCEMENT (PSYCHOLOGY); ROBOTICS; SYSTEMS THEORY;

EID: 49049119295     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.922018     Document Type: Article

References (10)

1. J. Valasek, M. Tandale, and J. Rong, "A reinforcement learning-adaptive control architecture for morphing," J. Aerosp. Comput., Inf., Commun., vol. 2, no. 4, pp. 174-195, Apr. 2005.
2. R. Sutton and A. Barto, Reinforcement Learning - An Introduction. Cambridge, MA: MIT Press, 1998.
3. C. A. J. Fletcher, Computational Galerkin Methods. New York: Springer-Verlag, 1984.
4. A. J. Meade and B. Zeldin, "Approximation properties of local bases assembled from neural network transfer functions," Math. Comput. Model., vol. 28, no. 9, pp. 43-62, Nov. 1998.
5. D. L. Thomson, "Sequential function approximation of the radiative transfer equation," Ph.D. dissertation, Rice Univ., Houston, TX, 1999.
6. K. Subbarao, "Structured adaptive model inversion: Theory and applications to trajectory tracking for non-linear dynamical systems," Ph.D. dissertation, Aerosp. Eng. Dept., Texas A&M Univ., College Station, TX, 2001.
7. M. D. Tandale and J. Valasek, "Fault tolerant structured adaptive model inversion control," J. Guid. Control Dyn., vol. 29, no. 3, pp. 635-642, May/Jun. 2006.
8. M. D. Tandale and J. Valasek, "Adaptive dynamic inversion control with actuator saturation constraints applied to tracking spacecraft maneuvers," J. Astronaut. Sci., vol. 54, no. 4, pp. 517-530, Oct.-Dec. 2004.
9. J. Ahmed, V. T. Coppola, and D. S. Bernstein, "Adaptive asymptotic tracking of spacecraft attitude motion with inertia matrix identification," J. Guid. Control Dyn., vol. 21, no. 5, pp. 684-691, Sep./Oct. 1998.
10. P. A. Ioannou and J. Sun, Robust Adaptive Control. Upper Saddle River, NJ: Prentice-Hall, 1996, ch. 1, pp. 10-11.