A tutorial review of neural network modeling approaches for model predictive control
An overview of the recent developments of time-series neural network modeling is
presented along with its use in model predictive control (MPC). A tutorial on the construction …
presented along with its use in model predictive control (MPC). A tutorial on the construction …
[HTML][HTML] Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges
With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …
polytopic LPV approaches have become popular in intelligent automotive control systems …
[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …
systems, as they offer potential for additional safety, increased productivity, greater …
Resilient model predictive control of cyber–physical systems under DoS attacks
Q Sun, K Zhang, Y Shi - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
This article presents a resilient model predictive control (MPC) framework to attenuate
adverse effects of denial-of-service (DoS) attacks for cyber-physical systems (CPSs), where …
adverse effects of denial-of-service (DoS) attacks for cyber-physical systems (CPSs), where …
Integrating machine learning and model predictive control for automotive applications: A review and future directions
In this review paper, the integration of Machine Learning (ML) and Model Predictive Control
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …
Event-triggered robust path tracking control considering roll stability under network-induced delays for autonomous vehicles
F Viadero-Monasterio, AT Nguyen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper proposes a multi-input multi-output (MIMO) method for path tracking control of
autonomous vehicles under network-induced delays while taking into account the roll …
autonomous vehicles under network-induced delays while taking into account the roll …
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 …
An MPC-based control strategy for electric vehicle battery cooling considering energy saving and battery lifespan
In order to keep a lithium-ion battery within optimal temperature range for excellent
performance and long lifespan, it is necessary to have an effective control strategy for a …
performance and long lifespan, it is necessary to have an effective control strategy for a …
Distributed nonlinear trajectory optimization for multi-robot motion planning
This work presents a method for multi-robot coordination based on a novel distributed
nonlinear model predictive control (NMPC) formulation for trajectory optimization and its …
nonlinear model predictive control (NMPC) formulation for trajectory optimization and its …
Robust fuzzy model predictive control for energy management systems in fuel cell vehicles
Fuel cell vehicle combines the benefits of fuel cell stack and energy storage system to
achieve fuel economy and zero-emission. The energy management system is vital to the …
achieve fuel economy and zero-emission. The energy management system is vital to the …