Linear and Neural Network Feedback for Flight Control Decoupling

IEEE Control Systems

Volumn 16, Issue 4, 1996, Pages 22-30

  Rokhsaz, Kamran ^b  

^a MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

^b WICHITA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AERODYNAMICS; AIRCRAFT; EQUATIONS OF MOTION; FLIGHT DYNAMICS; INTELLIGENT CONTROL; LEARNING SYSTEMS; LINEAR CONTROL SYSTEMS; LINEARIZATION; MANEUVERABILITY; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; POLYNOMIALS;

AIRCRAFT FLIGHT CONTROL; AIRCRAFT PITCH RESPONSE; DECOUPLED FLIGHT CONTROL SYSTEM; LINEAR COMPENSATOR; NOISE TOLERANCE;

NEURAL NETWORKS;

EID: 0030213592     PISSN: 1066033X     EISSN: None     Source Type: Journal    
DOI: 10.1109/37.526912     Document Type: Article

References (7)

1. A.J. Craig, “Investigation of the Concept of Direct Flight Control,” Aerorzauriral Reporr 65-1, Wichita State University, Wichita, KS, August 1965.
2. S. Park,, “Decoupled Flight Control System Design Using the Singular Perturbation Method,” Ph.D. thesis, Department of Aerospace Engineering, The Wichita State University, Wichita, KS, November 1992.
3. Mark A. Holler, “VLSI Implementation of Learning and Memo9 Systems: A Review,” Neural Information Processing Systems 3. ed. Lippman, Moody, Touretzky, Morgan Kaufman, San Mateo, CA, 1991. pp. 993-1000.
4. M.A. Jarrah and H. Ashley, “Impact of Flow Unsteadiness on Maneuvers and Loads of Agile Aircraft,” AIAA-89-1282, 30th Structures, Structural Dynamics, and Materials Conference, Mobile, AL, April 1989.
5. K. Rokhsaz and J. E. Steck, “Use of Neural Networks in Control of High Alpha Maneuvers,” Journal of Guidance, Control, and Dynamics, vol. 16. no. 5 (September-October 1993), pp. 934-939.
6. K.S. Narendra and K. Parthasarathy, “Identification and Control of Dynamical Systems Using Neural Networks,” IEEE Trmsactions on NeumI Networks, vol. 1 (1990), no. 1, pp. 4-27.
7. J.E. Steck, B.M. McMillin, K. Krishnamurthy, and G.G. Leininger. “Parallel Implementation of a Recursive Least-Squares Neural Network Training Method on the Intel iPSC/2,” Jourizrd of Parllel Distributrd Computing, vol. 18, no. 1 (May 1993), pp. 89-93.