Search Results for author:
Found 7 papers, 0 papers with code
Prediction-Based Leader-Follower Rendezvous Model Predictive Control with Robustness to Communication Losses
In this paper we propose a novel distributed model predictive control (DMPC) based algorithm with a trajectory predictor for a scenario of landing of unmanned aerial vehicles (UAVs) on a moving unmanned surface vehicle (USV).
Non-Parametric Neuro-Adaptive Formation Control
Most existing algorithms either assume certain parametric forms for the unknown dynamic terms or resort to unnecessarily large control inputs in order to provide theoretical guarantees.
Robust Trajectory Tracking for Underactuated Quadrotors with Prescribed Performance
We propose a control protocol based on the prescribed performance control (PPC) methodology for a quadrotor unmanned aerial vehicle (UAV).
Planning and Control of Multi-Robot-Object Systems under Temporal Logic Tasks and Uncertain Dynamics
We achieve such a construction by designing appropriate adaptive control protocols in the lower level, which guarantee the safe robot navigation/object transportation in the environment while compensating for the dynamic uncertainties.
Non-Parametric Neuro-Adaptive Coordination of Multi-Agent Systems
Most existing algorithms either assume certain parametric forms for the unknown dynamic terms or resort to unnecessarily large control inputs in order to provide theoretical guarantees.
Deceptive Decision-Making Under Uncertainty
We study the design of autonomous agents that are capable of deceiving outside observers about their intentions while carrying out tasks in stochastic, complex environments.
Safety-Constrained Learning and Control using Scarce Data and Reciprocal Barriers
We develop a control algorithm that ensures the safety, in terms of confinement in a set, of a system with unknown, 2nd-order nonlinear dynamics.
