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Found 6 papers, 0 papers with code
Lyapunov Neural Network with Region of Attraction Search
Deep learning methods have been widely used in robotic applications, making learning-enabled control design for complex nonlinear systems a promising direction.
A Fisher Information based Receding Horizon Control Method for Signal Strength Model Estimation
This paper considers the problem of localizing a set of nodes in a wireless sensor network when both their positions and the parameters of the communication model are unknown.
MRI Field-transfer Reconstruction with Limited Data: Regularization by Neural Style Transfer
This enables RNST to reconstruct a high-quality image from a noisy low-quality image with different image styles and limited data.
Bearing-Based Formation Control with Optimal Motion Trajectory
We form and solve a nonlinear optimization problem with the sum of path lengths of the agent trajectories as the objective and subject to the original equilibria and global convergence conditions for formation control.
Minimax Multi-Agent Persistent Monitoring of a Network System
For a given visiting sequence, we prove that in an optimal dwelling time allocation the peak uncertainty is the same among all the targets.
A Semidefinite Programming Approach to Discrete-time Infinite Horizon Persistent Monitoring
We investigate the problem of persistent monitoring, where a mobile agent has to survey multiple targets in an environment in order to estimate their internal states.
