[图书][B] Analysis and control of nonlinear systems: A flatness-based approach
J Levine - 2009 - books.google.com
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ENGINEERINGMATHEMA Jean Lévine Analysis and Control of Nonlinear Systems A …
ENGINEERINGMATHEMA Jean Lévine Analysis and Control of Nonlinear Systems A …
NMPC trajectory planner for urban autonomous driving
F Micheli, M Bersani, S Arrigoni, F Braghin… - Vehicle system …, 2023 - Taylor & Francis
This paper presents a trajectory planner for autonomous driving based on a Nonlinear
Model Predictive Control (NMPC) algorithm that accounts for Pacejka's nonlinear lateral tyre …
Model Predictive Control (NMPC) algorithm that accounts for Pacejka's nonlinear lateral tyre …
Receding horizon flight control for trajectory tracking of autonomous aerial vehicles
This paper addresses the implementation of a predictive control strategy for Unmanned Air
Vehicles in the presence of bounded disturbances. The goal is to prove the feasibility of …
Vehicles in the presence of bounded disturbances. The goal is to prove the feasibility of …
Autonomous vehicle trajectory following: A flatness model predictive control approach with hardware-in-the-loop verification
Trajectory following of autonomous vehicle is a challenging task because of the multiple
constraints imposed on the plant. Therefore, Model Predictive Control (MPC) is becoming …
constraints imposed on the plant. Therefore, Model Predictive Control (MPC) is becoming …
Optimization-Based Multipoint Trajectory Planning Along Straight Lines for Tower Cranes
M Burkhardt, A Gienger… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
On common construction sites, it is often the case that tower cranes must move heavy
payloads along straight lines either due to obstacles or it is the direct route to a target …
payloads along straight lines either due to obstacles or it is the direct route to a target …
Constrained trajectory generation for uav systems using a b-spline parametrization
This paper extends some previous work on trajectory generation for UAV (Unmanned Aerial
Vehicles) using differential flatness in combination with B-splines parametrization. The …
Vehicles) using differential flatness in combination with B-splines parametrization. The …
Active disturbance rejection control for reference trajectory tracking tasks in the pendubot system
M Ramírez-Neria, H Sira-Ramírez… - IEEE …, 2021 - ieeexplore.ieee.org
In this article, an Extended State Observer (ESO) based Active Disturbance Rejection
Control (ADRC) scheme is applied to the Pendubot system for a trajectory tracking tasks …
Control (ADRC) scheme is applied to the Pendubot system for a trajectory tracking tasks …
[PDF][PDF] Predictive control for trajectory tracking and decentralized navigation of multi-agent formations
This paper addresses a predictive control strategy for a particular class of multi-agent
formations with a time-varying topology. The goal is to guarantee tracking capabilities with …
formations with a time-varying topology. The goal is to guarantee tracking capabilities with …
Flat trajectory generation for way-points relaxations and obstacle avoidance
This paper addresses some alternatives to classical trajectory generation for an autonomous
vehicle which needs to pass through a priori given way-points. Using differential flatness for …
vehicle which needs to pass through a priori given way-points. Using differential flatness for …
Flatness-based model predictive control for autonomous vehicle trajectory tracking
Model predictive control (MPC) has become more relevant to vehicle dynamics control due
to its inherent capacity of treating system constraints. However, online optimization from …
to its inherent capacity of treating system constraints. However, online optimization from …