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Found 12 papers, 3 papers with code
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators
The impact forces during switching operations of short-stroke actuators may cause bouncing, audible noise and mechanical wear.
NN-ETM: Enabling safe neural network-based event-triggering mechanisms for consensus problems
As a result, we propose NN-ETM, a novel ETM featuring a neural network, which provides an all-purpose solution to optimize communication in consensus problems while preserving the stability guarantees of the consensus protocol.
Run-to-Run Control With Bayesian Optimization for Soft Landing of Short-Stroke Reluctance Actuators
The complete control is presented, with special focus on the optimization method and the input definition.
Hybrid Dynamical Model for Reluctance Actuators Including Saturation, Hysteresis and Eddy Currents
A novel hybrid dynamical model for single-coil, short-stroke reluctance actuators is presented in this paper.
Real-Time Electromagnetic Estimation for Reluctance Actuators
Several modeling, estimation, and control strategies have been recently presented for simple reluctance devices like solenoid valves and electromagnetic switches.
Event-Triggered Consensus for Continuous-Time Distributed Estimation
Distributed sensor networks have gained interest thanks to the developments in processing power and communications.
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks
The graph identification problem consists of discovering the interactions among nodes in a network given their state/feature trajectories.
Distributed outer approximation of the intersection of ellipsoids
The outer Lowner-John method is widely used in sensor fusion applications to find the smallest ellipsoid that can approximate the intersection of a set of ellipsoids, described by positive definite covariance matrices modeling the quality of each sensor.
Event-based Visual Tracking in Dynamic Environments
Visual object tracking under challenging conditions of motion and light can be hindered by the capabilities of conventional cameras, prone to producing images with motion blur.
LEMURS: Learning Distributed Multi-Robot Interactions
This paper presents LEMURS, an algorithm for learning scalable multi-robot control policies from cooperative task demonstrations.
Multi-robot Implicit Control of Massive Herds
The problem is very challenging due to the highly complex repulsive evaders' dynamics and the underdetermined states to control.
On the Stability of Electromechanical Switching Devices
Electromagnetic relays and solenoid actuators are commonly used for their bistable behavior, which allows for switching between two states in electrical, pneumatic, or hydraulic circuits, among other applications.
