Observer-based adaptive neural network trajectory tracking control for remotely operated vehicle

IEEE Transactions on Neural Networks and Learning Systems

Volumn 28, Issue 7, 2017, Pages 1633-1645

  Chu, Zhenzhong ^a   Zhu, Daqi ^a   Yang, Simon X ^b  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

Adaptive control; observer; recurrent neural network (NN); remotely operated vehicle (ROV); trajectory tracking

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CONTROL THEORY; DYNAMIC MODELS; NAVIGATION; RECURRENT NEURAL NETWORKS; REMOTE CONTROL; STATE ESTIMATION; TRAJECTORIES;

ADAPTIVE NEURAL NETWORKS; ADAPTIVE TERMINAL SLIDING MODES; FINITE-TIME CONVERGENCE; LOCAL RECURRENT NEURAL NETWORKS; ON-LINE IDENTIFICATION; REMOTELY OPERATED VEHICLES (ROV); TRAJECTORY TRACKING CONTROL; TRAJECTORY TRACKING ERRORS;

REMOTELY OPERATED VEHICLES;

EID: 84963620654     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2016.2544786     Document Type: Article

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