An intelligent system for failure detection and control in an autonomous underwater vehicle

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.

Volumn 31, Issue 6, 2001, Pages 762-767

  Ranganathan, N ^a   Patel, Minesh I ^b   Sathyamurthy, R ^a  

^a University of South Florida   (United States)

^b HONEYWELL   (United States)

Author keywords

ANN; Autonomous underwater vehicles (AVV); Expert system; Intelligent systems; Remote operated vehicles (ROV)

Indexed keywords

EXPERT SYSTEMS; FAILURE ANALYSIS; FUZZY SETS; NEURAL NETWORKS; REMOTELY OPERATED VEHICLES; SENSORS; SUBMERSIBLES; SYSTEM STABILITY; VLSI CIRCUITS;

AUTONOMOUS UNDERWATER VEHICLES; FAILURE DETECTION; INTELLIGENT SYSTEM;

ARTIFICIAL INTELLIGENCE;

EID: 0035521090     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/3468.983434     Document Type: Letter

References (16)

1. A neural network approach to failure diagnostics for underwater vehicles
2. Toward an automatic health monitor for autonomous underwater vehicles using parameter identification
3. Failure detection in an autonomous underwater vehicle
4. A redundancy management procedure for fault detection and isolation
5. Ftmp: A protocol for distributed fault tolerant operating system services
6. On-line detection for AUV
7. AUV's trends over the world in the future decade
8. Outline of a new approach to the analysis of complex systems and decision process
9. A VLSI system architecture for real-time intelligent decision making
10. IDUTC: An intelligent decision-making system for urban traffic-control applications
11. Quantitative measures of robustness for multivariable systems
12. Using learning techniques to accommodate unanticipated faults
13. Layered control of a practical AUV