An Intelligent Methodology for RealTime Adaptive Mode Transitioning and Limit Avoidance of Unmanned Aerial Vehicles

This chapter contains sections titled: Introduction Real-Time Adaptation of Mode Transition Controllers Hover to Forward Flight Example Limit Detection and Limit Avoidance Adaptive Limit Detection Automatic Limit Avoidance for UAVs Performance Assessment and Implementation Issues Conclusion References ]]>

[1]  Anthony J. Calise,et al.  Implementation of adaptive nonlinear control for flight test on an unmanned helicopter , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[2]  Wen-June Wang,et al.  Fuzzy control design for the trajectory tracking on uncertain nonlinear systems , 1999, IEEE Trans. Fuzzy Syst..

[3]  Jean-Jacques E. Slotine,et al.  Sliding controller design for non-linear systems , 1984 .

[4]  Tao Zhang,et al.  Neural-based direct adaptive control for a class of general nonlinear systems , 1997, Int. J. Syst. Sci..

[5]  Anthony J. Calise,et al.  Adaptive limit detection and avoidance for carefree maneuvering , 2001 .

[6]  Anthony J. Calise,et al.  Adaptive nonlinear controller synthesis and flight test evaluation on an unmanned helicopter , 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

[7]  R.N.K. Loh,et al.  Neural network-based successive one-step-ahead control of nonlinear systems , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[8]  Bonnie S. Heck,et al.  Real-Time Adaptation of Mode Transition Controllers , 2002 .

[9]  Daniel P. Schrage,et al.  An open platform for reconfigurable control , 2001 .

[10]  X. Ma,et al.  One-Step-Ahead Controller Design using Neural Networks , 1992, 1992 American Control Conference.

[11]  G. L. Zacharias,et al.  Fuzzy logic gain scheduling for flight control , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[12]  D. P. Schrage,et al.  Software-enabled control for intelligent UAVs , 1999, Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design (Cat. No.99TH8404).

[13]  Frank L. Lewis,et al.  Multilayer neural-net robot controller with guaranteed tracking performance , 1996, IEEE Trans. Neural Networks.

[14]  Wilson J. Rugh,et al.  Analytical Framework for Gain Scheduling , 1990, 1990 American Control Conference.

[15]  D. Schroder,et al.  Systematic design of stable neural observers for a class of nonlinear systems , 1997, Proceedings of the 1997 IEEE International Conference on Control Applications.

[16]  Bonnie S. Heck,et al.  Software-enabled control technologies for autonomous aerial vehicles , 1999, Gateway to the New Millennium. 18th Digital Avionics Systems Conference. Proceedings (Cat. No.99CH37033).

[17]  George J. Vachtsevanos,et al.  Adaptive Fuzzy Neural Networks as identifiers of discrete-time nonlinear dynamic systems , 1996, J. Intell. Robotic Syst..

[18]  W. Leithead,et al.  Gain-scheduled and nonlinear systems : dynamic analysis by velocity-based linearization families , 1998 .

[19]  Anthony J. Calise,et al.  Nonlinear flight control using neural networks , 1994 .

[20]  Eric N. Johnson,et al.  FEEDBACK LINEARIZATION WITH NEURAL NETWORK AUGMENTATION APPLIED TO X-33 ATTITUDE CONTROL , 2000 .

[21]  Anthony J. Calise,et al.  Multilayer neural network and adaptive nonlinear control of agile anti-air missiles , 1997 .

[22]  Ilkay Yavrucuk,et al.  Automatic Limit Detection and Avoidance for Unmanned Helicopters , 2001 .

[23]  George J. Vachtsevanos,et al.  Design of mode‐to‐mode fuzzy controllers , 2000 .

[24]  Michael Athans,et al.  Analysis of gain scheduled control for nonlinear plants , 1990 .

[25]  Anthony J. Calise,et al.  Analysis of Adaptive Neural Networks for Helicopter Flight Control , 1997 .

[26]  George Vachtsevanos,et al.  Robust Stability of Mode-to-Mode Fuzzy Controllers , 1999 .

[27]  P. Khargonekar,et al.  H ∞ control of linear time-varying systems: a state-space approach , 1991 .

[28]  F. L. Lewis,et al.  Nonlinear observer design using dynamic recurrent neural networks , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[29]  Joseph F. Horn,et al.  Flight Envelope Cueing on a Tilt-Rotor Aircraft Using Neural Network Limit Prediction , 2001 .

[30]  Yun Li,et al.  Genetic algorithms applied to fuzzy sliding mode controller design , 1995 .

[31]  Dimiter Driankov,et al.  A Takagi-Sugeno fuzzy gain-scheduler , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[32]  Daniel P. Schrage,et al.  Simulation Evaluation of a Reconfigurable Flight Controller of a Heli-UAV for Extreme Maneuvers , 2000 .

[33]  Anthony J. Calise,et al.  Nonlinear adaptive flight control using neural networks , 1998 .

[34]  Wang Fuli,et al.  Adaptive control of black-box nonlinear systems using recurrent neural networks , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[35]  Yonghong Tan,et al.  Nonlinear one-step-ahead control using neural networks: Control strategy and stability design , 1996, Autom..