Model predictive control: Recent developments and future promise
DQ Mayne - Automatica, 2014 - Elsevier
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All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
[BOOK][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 …
[BOOK][B] Switching in systems and control
D Liberzon - 2003 - Springer
l\lany systems encountered in practice involve a coupling between contin uous dynamics
and discrete events. Systems in which these two kinds of dynamics coexist and interact are …
and discrete events. Systems in which these two kinds of dynamics coexist and interact are …
[BOOK][B] Introduction to discrete event systems
CG Cassandras, S Lafortune - 2008 - Springer
After going through all the previous chapters, it would be natural for readers to conclude that
DES are inherently complex and hard to analyze, regardless of the modeling framework …
DES are inherently complex and hard to analyze, regardless of the modeling framework …
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 …
Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot
This paper describes a collection of optimization algorithms for achieving dynamic planning,
control, and state estimation for a bipedal robot designed to operate reliably in complex …
control, and state estimation for a bipedal robot designed to operate reliably in complex …
Stability and stabilizability of switched linear systems: a survey of recent results
During the past several years, there have been increasing research activities in the field of
stability analysis and switching stabilization for switched systems. This paper aims to briefly …
stability analysis and switching stabilization for switched systems. This paper aims to briefly …
Trajectory optimization for high-speed trains via a mixed integer linear programming approach
Y Cao, Z Zhang, F Cheng, S Su - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes a trajectory optimization approach for high-speed trains to reduce
traction energy consumption and increase riding comfort. Besides, the proposed approach …
traction energy consumption and increase riding comfort. Besides, the proposed approach …