陈虹
博士 教授 博士生导师
吉林大学 控制科学与工程系
从事先进控制理论与应用,移动机器人控制,汽车电子控制等方面的研究
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- 姓名:陈虹
- 目前身份:在职研究人员
- 担任导师情况:博士生导师
- 学位:博士
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学术头衔:
博士生导师
- 职称:高级-教授
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学科领域:
控制理论
- 研究兴趣:从事先进控制理论与应用,移动机器人控制,汽车电子控制等方面的研究
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主页访问
4043
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关注数
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成果阅读
921
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成果数
11
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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引用
陈虹, H. Chen*, †, and F. Allgower‡§
J. Proc. Cont. Vol. 8, Nos. 5-6, pp. 475-485, 1998,-0001,():
-1年11月30日
We introduce in this paper a nonlinear model predictive control scheme for open-loop stable systems subject to input and state constraints. Closed-loop stability is guaranteed by an appropriate choice of the finite prediction horizon, independent of the specification of the desired control performance. In addition, this control scheme is likely to allow 'real time' implementation, because of its computational attractiveness. The theoretical results are demonstrated and discussed with a CSTR control application.
nonlinear predictive control, constraints, stability, terminal conditions
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陈虹, Chen Hong, Zhao Guijun, Sun Pengyuan & Guo Konghui
汽车工程,2003,25(1):1~6,-0001,():
-1年11月30日
以2自由度1/4车模型为例在鲁棒控制理论的统一框架下讨论H2和H∞主动悬架的设计,并采用结构奇异值法和加权最坏RMS增益法对其鲁棒性能进行分析和比较。
主动悬架,, H2和H∞控制,, 频率加权,, 鲁棒性能
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66浏览
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【期刊论文】A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability*
陈虹, H. CHEN† and F. ALLGOWER‡
Automatica, Vol. 34, No.10. pp. 1205~1217, 1998,-0001,():
-1年11月30日
We present in this paper a novel nonlinear model predictive control scheme that guarantees asymptotic closedloop stability. The scheme can be applied to both stable and unstable systems with input constraints. The objective functional to be minimized consists of an integral square error (ISE) part over a finite time horizon plus a quadratic terminal cost. The terminal state penalty matrix of the terminal cost term has to be chosen as the solution of an appropriate Lyapunov equation. Furthermore, the setup includes a terminal inequality constraint that forces the states at the end of the finite prediction horizon to lie within a prescribed terminal region. If the Jacobian linearization of the nonlinear system to be controlled is stabilizable, we prove that feasibility of the open-loop optimal control problem at time t=0 implies asymptotic stability of the closed-loop system. The size of the region of attraction is only restricted by the requirement for feasibility of the optimization problem due to the input and terminal inequality constraints and is thus maximal in some sense.
Nonlinear model predictive control, stability, terminal inequality constraint, terminal cost, quasi-infinite horizon.,
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169浏览
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陈虹, LIU Zhiyuan, and CHEN Hong
控制理论与应用,2002,19(3):349~355,-0001,():
-1年11月30日
将准无限时域非线性预测控制方法推广到更一般的情况,并给出了闭环约束系统的稳定性条件及最优解的存在条件。基于反馈线性化技术讨论了广义准无限时域非线性预测控制的实现及较大终端域的获取。该方法能显著减少在线优化所需的时间。
非线性预测控制, 稳定性, 约束最优控制, 反馈线性化
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99浏览
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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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110浏览
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【期刊论文】Application of Constrained H∞ Control to Active Suspension Systems on Half-Car Models
陈虹, H. Chen, Z.-Y. Liu, P.-Y. Sun
SEPTEMBER 2005, Vol. 127,-0001,():
-1年11月30日
This paper formulates the active suspension control problem as disturbance attenuation problem with output and control constraints. The H∞ performance is used to measure ride comfort such that more general road disturbances can be considered, while timedomain hard constraints are captured using the concept of reachable sets and state-space ellipsoids. Hence, conflicting requirements are specified separately and handled in a nature way. In the framework of Linear Matrix Inequality (LMI) optimization, constrained H∞ active suspensions are designed on half-car models with and without considering actuator dynamics. Analysis and simulation results show a promising improvement on ride comfort, while keeping suspension strokes and control inputs within bounds and ensuring a firm contact of wheels to road.
Active Suspensions,, Time-Domain Constraints,, LMI Optimization,, Actuator Dynamics
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47浏览
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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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38浏览
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引用