Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives
This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …
A review of optimization techniques in spacecraft flight trajectory design
For most atmospheric or exo-atmospheric spacecraft flight scenarios, a well-designed
trajectory is usually a key for stable flight and for improved guidance and control of the …
trajectory is usually a key for stable flight and for improved guidance and control of the …
A survey on model-based distributed control and filtering for industrial cyber-physical systems
Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-
critical systems, in which lots of sensors and actuators are embedded and networked …
critical systems, in which lots of sensors and actuators are embedded and networked …
Distributed model predictive control for heterogeneous vehicle platoons under unidirectional topologies
This paper presents a distributed model predictive control (DMPC) algorithm for
heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired …
heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired …
A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control
This paper investigates the multirate networked industrial process control problem in double-
layer architecture. First, the output tracking problem for sampled-data nonlinear plant at …
layer architecture. First, the output tracking problem for sampled-data nonlinear plant at …
The cybersecurity landscape in industrial control systems
Industrial control systems (ICSs) are transitioning from legacy-electromechanical-based
systems to modern information and communication technology (ICT)-based systems …
systems to modern information and communication technology (ICT)-based systems …
Event-triggered robust model predictive control of continuous-time nonlinear systems
The event-triggered control is of compelling features in efficiently exploiting system
resources, and thus has found many applications in sensor networks, networked control …
resources, and thus has found many applications in sensor networks, networked control …
Reinforcement-learning-based robust controller design for continuous-time uncertain nonlinear systems subject to input constraints
The design of stabilizing controller for uncertain nonlinear systems with control constraints is
a challenging problem. The constrained-input coupled with the inability to identify accurately …
a challenging problem. The constrained-input coupled with the inability to identify accurately …
Cooperative path following ring-networked under-actuated autonomous surface vehicles: Algorithms and experimental results
This paper addresses the cooperative path following the problem of ring-networked under-
actuated autonomous surface vehicles on a closed curve. A cooperative guidance law is …
actuated autonomous surface vehicles on a closed curve. A cooperative guidance law is …
Receding horizon formation tracking control of constrained underactuated autonomous underwater vehicles
H Li, P **e, W Yan - IEEE Transactions on Industrial Electronics, 2016 - ieeexplore.ieee.org
The cooperative control of marine vehicles finds wide applications in many marine missions
and tasks. This paper investigates the receding horizon formation tracking control problem of …
and tasks. This paper investigates the receding horizon formation tracking control problem of …