[HTML][HTML] Analysis and design of model predictive control frameworks for dynamic operation—An overview
This article provides an overview of model predictive control (MPC) frameworks for dynamic
operation of nonlinear constrained systems. Dynamic operation is often an integral part of …
operation of nonlinear constrained systems. Dynamic operation is often an integral part of …
Predictive active steering control for autonomous vehicle systems
P Falcone, F Borrelli, J Asgari… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
In this paper, a model predictive control (MPC) approach for controlling an active front
steering system in an autonomous vehicle is presented. At each time step, a trajectory is …
steering system in an autonomous vehicle is presented. At each time step, a trajectory is …
Nonlinear MPC for tracking piece-wise constant reference signals
This paper presents a novel tracking predictive controller for constrained nonlinear systems
capable to deal with sudden and large variations of a piece-wise constant setpoint signal …
capable to deal with sudden and large variations of a piece-wise constant setpoint signal …
Linear time‐varying model predictive control and its application to active steering systems: Stability analysis and experimental validation
A model predictive control (MPC) approach for controlling an active front steering (AFS)
system in an autonomous vehicle is presented. At each time step a trajectory is assumed to …
system in an autonomous vehicle is presented. At each time step a trajectory is assumed to …
Development of a genetic-algorithm-based nonlinear model predictive control scheme on velocity and steering of autonomous vehicles
X Du, KKK Htet, KK Tan - IEEE Transactions on Industrial …, 2016 - ieeexplore.ieee.org
Model predictive controller (MPC) has demonstrated its competency in controlling
autonomous vehicles. But to apply the current MPC-based schemes, it has to be formulated …
autonomous vehicles. But to apply the current MPC-based schemes, it has to be formulated …
[图书][B] Control of nonlinear and hybrid process systems: Designs for uncertainty, constraints and time-delays
PD Christofides, N El-Farra - 2005 - books.google.com
This monograph provides insight and fundamental understanding into the feedback control
of nonlinear and hybrid process systems. It presents state-of-the-art methods for the …
of nonlinear and hybrid process systems. It presents state-of-the-art methods for the …
A nonlinear model predictive control framework using reference generic terminal ingredients
In this article, we present a quasi-infinite horizon nonlinear model predictive control (MPC)
scheme for tracking of generic reference trajectories. This scheme is applicable to nonlinear …
scheme for tracking of generic reference trajectories. This scheme is applicable to nonlinear …
Model predictive control for a linear parameter varying model of an UAV
L Cavanini, G Ippoliti, EF Camacho - Journal of Intelligent & Robotic …, 2021 - Springer
This paper presents a Model Predictive Control (MPC) based autopilot for a fixed-wing
Unmanned Aircraft Vehicle (UAV) for meteorological data sampling tasks, named …
Unmanned Aircraft Vehicle (UAV) for meteorological data sampling tasks, named …
Multiple model predictive control for large envelope flight of hypersonic vehicle systems
Considering the strong nonlinearity, wide flight envelope and hard constraints of hypersonic
vehicle (HV), we present a multiple model predictive control (MMPC) strategy for the control …
vehicle (HV), we present a multiple model predictive control (MMPC) strategy for the control …
A fault detection and isolation scheme for industrial systems based on multiple operating models
In this paper, a fault diagnosis method is developed for systems described by multi-models.
The main contribution consists in the design of a new fault detection and isolation (FDI) …
The main contribution consists in the design of a new fault detection and isolation (FDI) …