Fully distributed adaptive formation-containment control for nonlinear multiagent systems with neural network-reliable state constraints

Key Points

• Effective adaptive formation control is achieved even with state constraints in nonlinear multiagent systems.
• Key evidence includes demonstrating reliable performance through neural networks in varying environments.
• The approach leverages fully distributed adaptive control mechanisms to manage multiagent coordination.
• The findings highlight a potential for robust real-world applications, though further testing in wider scenarios may be necessary.