Search Results for author:
Found 7 papers, 0 papers with code
Cyclic pursuit formation control for arbitrary desired shapes
In response, our study proposes a novel method based on cyclic pursuit capable of forming a broader array of shapes, enabling agents to individually shape while pursuing preceding agents, thereby extending the repertoire of achievable formations.
Manipulation of Neuronal Network Firing Patterns using Temporal Deep Unfolding-based MPC
This study includes a tailored methodology for networked neurons, the extension of TDU-MPC to nonlinear systems with reset dynamics, and the achievement of desired firing patterns in neuronal networks.
Reduced-Order Model Predictive Control of a Fish Schooling Model
The proposed reduction allows us to control a school with up to 500 individuals.
Shepherding Control for Separating a Single Agent from a Swarm
We specifically aim to achieve the separation by designing the movement algorithm of an external agent, called a shepherd, which exerts repulsive forces on the agents in the swarm.
Optimization of stochastic switching buffer network via DC programming
This letter deals with the optimization problems of stochastic switching buffer networks, where the switching law is governed by Markov process.
Communication-Free Shepherding Navigation with Multiple Steering Agents
Swarm guidance addresses a challenging problem considering the navigation and control of a group of passive agents.
Deep unfolding-based output feedback control design for linear systems with input saturation
In this paper, we propose a deep unfolding-based framework for the output feedback control of systems with input saturation.
