Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives
This paper presents a review and critical analysis on the modeling of the dynamics of
vehicular traffic, human crowds and swarms seen as living and, hence, complex systems. It …
vehicular traffic, human crowds and swarms seen as living and, hence, complex systems. It …
Distributed model predictive control: A tutorial review and future research directions
In this paper, we provide a tutorial review of recent results in the design of distributed model
predictive control systems. Our goal is to not only conceptually review the results in this area …
predictive control systems. Our goal is to not only conceptually review the results in this area …
Diffusion policy: Visuomotor policy learning via action diffusion
This paper introduces Diffusion Policy, a new way of generating robot behavior by
representing a robot's visuomotor policy as a conditional denoising diffusion process. We …
representing a robot's visuomotor policy as a conditional denoising diffusion process. We …
[图书][B] Constrained model predictive control
EF Camacho, C Bordons, EF Camacho, C Bordons - 2007 - Springer
The control problem was formulated in the previous chapters considering all signals to
possess an unlimited range. This is not very realistic because in practice all processes are …
possess an unlimited range. This is not very realistic because in practice all processes are …
Constrained model predictive control: Stability and optimality
Model predictive control is a form of control in which the current control action is obtained by
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …
Predictive control
JM Maciejowski, M Huzmezan - Robust Flight Control: A Design …, 2007 - Springer
Abstract Constrained Predictive Control is radically different from other control approaches
which are conventionally used, or might be used, for flight control. Not only is the design …
which are conventionally used, or might be used, for flight control. Not only is the design …
Model predictive control: past, present and future
More than 15 years after model predictive control (MPC) appeared in industry as an effective
means to deal with multivariable constrained control problems, a theoretical basis for this …
means to deal with multivariable constrained control problems, a theoretical basis for this …
Set invariance in control
F Blanchini - Automatica, 1999 - Elsevier
The properties of positively invariant sets are involved in many different problems in control
theory, such as constrained control, robustness analysis, synthesis and optimization. In this …
theory, such as constrained control, robustness analysis, synthesis and optimization. In this …
Dynamic right-sizing for power-proportional data centers
Power consumption imposes a significant cost for data centers implementing cloud services,
yet much of that power is used to maintain excess service capacity during periods of low …
yet much of that power is used to maintain excess service capacity during periods of low …
Fast model predictive control using online optimization
Y Wang, S Boyd - IEEE Transactions on control systems …, 2009 - ieeexplore.ieee.org
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only
be used in applications with slow dynamics, where the sample time is measured in seconds …
be used in applications with slow dynamics, where the sample time is measured in seconds …