Results 31 to 40 of about 947,912 (287)
In this paper, we tackle the problem of real-time multi-vehicle interactions at signalfree and path-free intersections, which we call plazas, aiming for an efficient use of the intersection space.
Elham Ahmadi, Rodrigo Castelan Carlson
doaj +1 more source
Offset-Free Strategy by Double-Layered Linear Model Predictive Control
In the real applications, the model predictive control (MPC) technology is separated into two layers, that is, a layer of conventional dynamic controller, based on which is an added layer of steady-state target calculation.
Tao Zou
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Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications
Climate changes and the lack of running water across vast territories require the massive use of pumping systems, often powered by solar energy sources. In this context, simple drives with high-efficiency motors can be expected to take hold.
Ismaele Diego De Martin +3 more
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Model predictive control, MPC, is a model-based control philosophy that select control actions by online optimization of objective functions. Design methods based on MPC have found wide acceptance in industrial process control applications, and have been thoroughly studied by the academia.
openaire +2 more sources
Trajectory-Based Supplementary Damping Control for Power System Electromechanical Oscillations [PDF]
This paper considers a trajectory-based approach to determine control signals superimposed to those of existing controllers so as to enhance the damping of electromechanical oscillations.
Glavic, Mevludin +2 more
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Reference-Free Model Predictive Control for Quadrupedal Locomotion
Full-dynamics model predictive control (MPC) has recently been applied to quadrupedal locomotion in semi-unstructured environments. These advances have been fueled by the availability of efficient trajectory optimization (TO) algorithms and inexpensive ...
Gianni Lunardi +6 more
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Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing
Within the context of autonomous driving a model-based reinforcement learning algorithm is proposed for the design of neural network-parameterized controllers.
A Liniger +12 more
core +1 more source
Swarm assignment and trajectory optimization using variable-swarm, distributed auction assignment and sequential convex programming [PDF]
This paper presents a distributed, guidance and control algorithm for reconfiguring swarms composed of hundreds to thousands of agents with limited communication and computation capabilities.
Chung, Soon-Jo +3 more
core +2 more sources
Model Predictive collision-free path following control for nonholonomic mobile robots [PDF]
In this research, a model predictive collision-free path following controller is developed and applied for an omnidirectional mobile robot (OMR). The mobile robot is controlled to track a reference path while avoiding collision with obstacles.
Hiep Thai Thanh +2 more
doaj
As a key element to connect renewable energy sources, grid-forming inverters (GFIs) mostly use droop control as an outer loop, but it can cause a swift change in the system frequency when disturbances arise.
Min Huang +4 more
doaj +1 more source

