Reference and command governors for systems with constraints: A survey on theory and applications
Reference and command governors are add-on control schemes which enforce state and
control constraints on pre-stabilized systems by modifying, whenever necessary, the …
control constraints on pre-stabilized systems by modifying, whenever necessary, the …
Reference and command governors: A tutorial on their theory and automotive applications
This paper provides a tutorial overview of reference governors and command governors,
which are add-on control schemes for reference supervision and constraint enforcement in …
which are add-on control schemes for reference supervision and constraint enforcement in …
[LIBRO][B] Constrained control and estimation: an optimisation approach
This book provides a comprehensive treatment of the principles underlying optimal
constrained control and estimation. The contents progress from optimisation theory, fixed …
constrained control and estimation. The contents progress from optimisation theory, fixed …
Model predictive control—status and challenges
X Yu-Geng, L De-Wei, L Shu - Acta Automatica Sinica, 2013 - Elsevier
For the last 30 years the theory and technology of model predictive control (MPC) have been
developed rapidly. However, facing the increasing requirements on the constrained …
developed rapidly. However, facing the increasing requirements on the constrained …
A practical trajectory tracking control of autonomous vehicles using linear time-varying MPC method
With the rapid development and implementation of autonomous vehicles (AVs), the
simultaneous and accurate trajectory tracking problem for such AVs has become a popular …
simultaneous and accurate trajectory tracking problem for such AVs has become a popular …
Probabilistic constrained MPC for multiplicative and additive stochastic uncertainty
M Cannon, B Kouvaritakis, X Wu - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
The technical note develops a receding horizon control strategy to guarantee closed-loop
convergence and feasibility in respect of soft constraints. Earlier results addressed the case …
convergence and feasibility in respect of soft constraints. Earlier results addressed the case …
Efficient nonlinear model predictive control algorithms
M Cannon - Annual Reviews in Control, 2004 - Elsevier
This paper provides a review of computationally efficient approaches to nonlinear model
predictive control. The methods considered cover the following areas: tailoring of nonlinear …
predictive control. The methods considered cover the following areas: tailoring of nonlinear …
[PDF][PDF] 模型预测控制——现状与挑战
席裕庚, **德伟, 林姝 - 自动化学报, 2013 - aas.net.cn
摘要30 多年来, 模型预测控制(Model predictive control, MPC) 的理论和技术得到了长足的发展,
但面对经济社会迅速发展对约束优化控制提出的不断增长的要求, 现有的模型预测控制理论和 …
但面对经济社会迅速发展对约束优化控制提出的不断增长的要求, 现有的模型预测控制理论和 …
[LIBRO][B] Model predictive vibration control: efficient constrained MPC vibration control for lightly damped mechanical structures
G Takács, B Rohaľ-Ilkiv - 2012 - books.google.com
Real-time model predictive controller (MPC) implementation in active vibration control (AVC)
is often rendered difficult by fast sampling speeds and extensive actuator-deformation …
is often rendered difficult by fast sampling speeds and extensive actuator-deformation …
Optimizing prediction dynamics for robust MPC
M Cannon, B Kouvaritakis - IEEE Transactions on Automatic …, 2005 - ieeexplore.ieee.org
A convex formulation is derived for optimizing dynamic feedback laws for constrained linear
systems with polytopic uncertainty. We show that, when it exists, the maximal invariant …
systems with polytopic uncertainty. We show that, when it exists, the maximal invariant …