Intelligent control for a remotely operated vehicle

DOI10.1080/00207720902974512zbMath1292.93087OpenAlexW2131272676MaRDI QIDQ5494676

Gianluca Ippoliti, Sauro Longhi, M. Cavalletti

Publication date: 29 July 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720902974512

zbMATH Keywords

neural networksswitching supervisory controlremotely operated vehiclemode switch process

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85)

Cites Work

• Robust control of a remotely operated underwater vehicle
• Multiple model adaptive control. Part 2: switching
• Designing predictors for MIMO switching supervisory control
• Adaptive control of discrete-time systems using multiple models
• Lyapunov-based switching control using neural networks for a remotely operated vehicle
• The unfalsified control concept and learning
• Identification of time-varying nonlinear systems using minimal radial basis function neural networks
• Supervisory control of families of linear set-point controllers. 2. Robustness
• Lyapunov-based switching supervisory control of nonlinear uncertain systems

This page was built for publication: Intelligent control for a remotely operated vehicle