Title : 
Frequency-domain vibration control using adaptive neural network
         
        
        
            Author_Institution : 
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
         
        
        
        
        
        
            Abstract : 
This paper proposes a frequency-domain adaptive neural controller appropriate for online system identification and real-time adaptive control. After a survey of existing literature involving controls of structural vibration, we report new developments carried out under the adaptive neural control program for the USAF Phillips Laboratory. The new results include a frequency-based neural control architecture suitable for MIMO systems subjected to tonal disturbances in the presence of sensor and actuator failures. This architecture is demonstrated on the ASTREX test facility
         
        
            Keywords : 
MIMO systems; adaptive control; aerospace control; compensation; identification; neurocontrollers; vibration control; ASTREX test facility; MIMO systems; USAF Phillips Laboratory; actuator failures; adaptive neural controller; frequency-domain vibration control; online system identification; real-time adaptive control; sensor failures; structural vibration; tonal disturbances; Adaptive control; Adaptive systems; Control systems; Frequency; Laboratories; Neural networks; Programmable control; Real time systems; System identification; Vibration control;
         
        
        
        
            Conference_Titel : 
Neural Networks,1997., International Conference on
         
        
            Conference_Location : 
Houston, TX
         
        
            Print_ISBN : 
0-7803-4122-8
         
        
        
            DOI : 
10.1109/ICNN.1997.616126