[PDF][PDF] 预测控制定性综合理论的基本思路和研究现状
席裕庚, 李德伟 - 2008 - aas.net.cn
摘要通过引入最优控制理论和Lyapunov 方法, 预测控制的理论研究在最近十多年中发展迅速,
取得了丰硕成果. 本文总结了预测控制定性综合理论的基本思路, 回顾了近十年关于具有稳定性 …
取得了丰硕成果. 本文总结了预测控制定性综合理论的基本思路, 回顾了近十年关于具有稳定性 …
[图书][B] Modern predictive control
D Baocang - 2018 - taylorfrancis.com
Modern Predictive Control explains how MPC differs from other control methods in its
implementation of a control action. Most importantly, MPC provides the flexibility to act while …
implementation of a control action. Most importantly, MPC provides the flexibility to act while …
Robust triple mode MPC
L Imsland, JA Rossiter, B Pluymers… - International Journal of …, 2008 - Taylor & Francis
This paper reviews triple mode predictive control for linear time invariant systems, and then
proposes a new algorithm for robust triple mode predictive control for constrained linear …
proposes a new algorithm for robust triple mode predictive control for constrained linear …
A synthesis approach of on-line constrained robust model predictive control
B Ding, Y Xi, S Li - Automatica, 2004 - Elsevier
A new method to address constrained robust model predictive control (MPC) for systems
with polytopic description (RPC–SPD) is proposed. This is motivated by two previous …
with polytopic description (RPC–SPD) is proposed. This is motivated by two previous …
Model predictive control with stochastically approximated cost-to-go for battery cooling system of electric vehicles
The battery thermal management system of an electric vehicle consumes considerable
energy when cooling the battery, which can reduce the driving range. To minimize the …
energy when cooling the battery, which can reduce the driving range. To minimize the …
Interpolation methods in model predictive control: an overview
JA Rossiter, Y Ding - International Journal of Control, 2010 - Taylor & Francis
Interpolation methods are one means of tackling the classical performance versus feasibility
compromise in model predictive control (MPC). However, although some details are …
compromise in model predictive control (MPC). However, although some details are …
Decay aggregation efficient output feedback MPC for networked interval type-2 TS fuzzy systems with AET mechanism and deception attack
X Tang, X Su, K Zhao, H Qu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article investigates the decay aggregation efficient output feedback model predictive
control problem for networked interval type-2 Takagi–Sugeno fuzzy systems with the …
control problem for networked interval type-2 Takagi–Sugeno fuzzy systems with the …
Interpolation based MPC for LPV systems using polyhedral invariant sets
B Pluymers, JA Rossiter, JAK Suykens… - Proceedings of the …, 2005 - ieeexplore.ieee.org
Guaranteeing asymptotic stability and recursive constraint satisfaction for a set of initial
states that is as large as possible and with both a minimal control cost and computational …
states that is as large as possible and with both a minimal control cost and computational …
Output tracking of constrained nonlinear processes with offset-free input-to-state stable fuzzy predictive control
This paper develops an efficient offset-free output feedback predictive control approach to
nonlinear processes based on their approximate fuzzy models as well as an integrating …
nonlinear processes based on their approximate fuzzy models as well as an integrating …
Event-triggered synchronous distributed model predictive control for multi-agent systems
X Tang, M Li, S Wei, B Ding - … Journal of Control, Automation and Systems, 2021 - Springer
An event-triggered distributed model predictive control (DMPC) approach for a type of
dynamically decoupled, independently constrained systems with a coupled performance …
dynamically decoupled, independently constrained systems with a coupled performance …