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【期刊论文】NONLINEAR MODEL PREDICTIVE CONTROL SCHEMES WITH GUARANTEED STABILITY
陈虹, H. CHEN*, F. ALLGOWER
R. Berber and C. Kravaris (eds.), Nonlinear Model Based Process Control, 465-494,-0001,():
-1年11月30日
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陈虹, CHEN Hong, HAN Guang-xin, LIU Zhi-yuan
控制理论与应用,2005,22(2):189~195,-0001,():
-1年11月30日
在LMI优化框架下,讨论有时域硬约束线性系统的H∞控制问题。首先提出了一种基于IN优化的状态反馈方法,并给出了闭环系统保证H二性能和满足时域硬约束的条件。在此基础上,融合预测控制的滚动优化原理讨论了一种滚动时域H二性能控制方法。通过对H,性能指标Y的在线最小化,闭环系统能实时协调控制性能要求和硬约束,并充分利用有限的控制能力提高控制性能。
时域硬约束, H∞性能, LMI优化, 预测控制
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【期刊论文】Constrained H∞ Control of Active Suspensions: An LMI Approach
陈虹, Hong Chen, Member, IEEE, and Kong-Hui Guo
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 13, NO.3, MAY 2005,-0001,():
-1年11月30日
This paper suggests a constrained H∞ control scheme for active suspensions with output and control constraints. The H∞ performance is used to measure ride comfort so that more general road disturbances can be considered. Time-domain constraints, representing requirements for: 1) good road holding which may have an impact on safety; 2) suspension stroke limitation; and 3) avoidance of actuator saturation, are captured using the concept of reachable sets and state-space ellipsoids. The proposed approach can potentially achieve the best possible ride comfort by allowing constrained variables free as long as they remain within given bounds. A state feedback solution to the constrained H∞ active suspension control problem is derived in the framework of linear matrix inequality (LMI) optimization and multiobjective control. Analysis and simulation results for a two-degree-of-freedom (2-DOF) quarter-car model show possible improvements on ride comfort, while respecting time-domain hard constraints.
H∞ performance,, active suspensions,, linear matrix inequality (, LMI), optimization,, reachable set,, time-domain constraints.,
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陈虹, CHEN Hong, LIU Zhi-yuan, XIE Xiao-hua
控制与决策,2001,16(4):385~391,-0001,():
-1年11月30日
模型预测控制的一个主要优点是能显式并优化处理控制量和状态量的约束。为此,主要围绕非线性预测控制的算法、稳定性和鲁棒性、对偶问题和滚动时域估计的最新研究成果进行综述,并阐述了理论与应用方面有待进一步研究的几个主要问题。
非线性预测控制, 约束, 稳定性, 鲁棒性, 流动时域估计
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