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Search Results: 1 - 10 of 37025 matches for " Qian Fu-Cai "
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A New Algorithm for Solving a Class of Nonlinear Optimization Problems
求解一类非线性优化问题的新算法

SONG Ju-long~,QIAN Fu-cai~,
宋巨龙

系统工程理论与实践 , 2004,
Abstract: For solving unconstrained nonlinear optimization problems, a new algorithm, which is called Golden\|section on plane, is presented. It is a kind of direct method and a extending of the 0.618 method in one\|dimensional search in two\|dimensional space. The derivative of objective function with respect to decision making variables is not needed to be calculated. On the other hand, this method needs so little memory that it almost can be implemented on any personal computer and its efficiency is not influenced. It works as well as grandient methods.
Two-Level Optimal Control Algorithm on Nonseparable Dynamic Discrete Systems
不可分动态离散系统的两级最优控制算法

QIAN Fu-cai,LIU Ding,LIU Jun,
钱富才
,刘丁,刘军

系统工程理论与实践 , 2003,
Abstract: The optimal control problem on nonseparable dynamic discrete systems is Considered. A two-level optimal control algorithm is proposed. It first converts the problem into multiple objective optimal control problem and the noninferior solution is generated by weighting Lagrangian formulation. The optimal solution to problem underconsidered is then selected from the set of noninferior solutions. Theoretical base of the algorithm is established. Simulation results for two examples show that the algorithm is effective.
Adaptive Fuzzy Dynamic Surface Control for a Class of Nonlinear Systems with Unknown Time-delays
一类非线性时滞系统的自适应模糊动态面控制

JIA Tao,LIU Jun,QIAN Fu-Cai,
贾涛
,刘军,钱富才

自动化学报 , 2011,
Abstract: In this paper, adaptive fuzzy dynamic surface control (DSC) is presented for a class of strict-feedback nonlinear systems with unknown time-delays and control directions. By incorporating DSC design technique and a novel Lyapunov-Krasovskii function into adaptive fuzzy control design framework, the proposed control system can overcome not only the problem of ``explosion of complexity' inherent in the backstepping design methods but also the unknown time-delays. The control singularity problem and unknown signs of the virtual control coefficients are well solved by using Nussbaum gain function (NGF). The proposed controller guarantees the semiglobal boundedness of all states and signals in the closed-loop system, with an arbitrary small tracking error by appropriately choosing design constants. Simulation results are given to demonstrate the effectiveness of the proposed scheme.
Robust filter algorithm of carrier tracking loop for GPS software receiver
GPS软件接收机载波跟踪环路鲁棒滤波算法

LI Jiang,QIAN Fu-cai,LIU Ding,
李江
,钱富才,刘丁

控制理论与应用 , 2013,
Abstract: The inhibition of the loop filter noise jitter is an important guarantee for precise continuous tracking of the satellite signal in global positioning system (GPS) software receiver. This paper uses the noise unknown but bounded assumptions, instead of the demanding requirements of the noise statistical properties known in the traditional methods. The application of semidefinite programming approach converts the filtering problem into a convex optimization problem. Adopting the carrier tracking loop robust filtering algorithm to obtain the confidence ellipsoid containing the Doppler shift, we solve the filter tracking problem for GPS receiver in the complex and changing environment. The algorithm is validated by using the analog carrier signal and the actual satellite signal. Results show this method effectively tracks the GPS satellite signals and provides a new way of thinking for designing the loop filter for GPS receivers.
Optimal control for uncertainty dynamic chaotic systems
不确定动态混沌系统的最优控制

Zhu Shao-Ping,Qian Fu-Cai,Liu Ding,
朱少平
,钱富才,刘丁

物理学报 , 2010,
Abstract: For chaos control problem, in accordance with the constraints of control system energy, a quadratic objective function is first determined, and then a simple method for obtaining the optimal control law is proposed. This method gives the optimal control law by solving linear quadratic optimal control problem and avoids the difficulty of solving Hamilton-Jacobi-Bellman equation. Using Lyapnuov method, we prove the stability of the closed-loop system. For the unified chaotic system and Liu chaotic system the simulation results show the effectiveness of the control method.
Hierarchical Optimization Control Based on Hopfield Network for Nonseparable Steady State Large Scale System
基于Hopfield网络的不可分稳态大系统递阶优化控制

QIAN Fu-cai,LIU Ding,YANG Heng-zhan,
钱富才
,刘丁,杨恒占

系统工程理论与实践 , 2001,
Abstract: Considered is the nonseparable steady state optimization control problem for large-scale systems, where the overall objective function is not of an additive form with respect to subsystems. To deal with the slow compute problem using iterative algorithms in multiobjective optimization, Hopfield hierarchical optimization network based on IPM is presented. Its asymptote stability is proved and its equilibrium point is the optimal point of the original problem. The simulation shows that the net is effective to deal with the optimization control problem for large-scale nonseparable steady state systems.
Dual Control Based on Maximum Mutual Information Index
基于最大互信息指标的对偶控制研究

GAO Zhen-Bin,QIAN Fu-Cai,LIU Ding,
高振斌
,钱富才,刘丁

自动化学报 , 2008,
Abstract: Dual control of the stochastic system with the un- known parameter based on maximum mutual information in- dex is studied in this paper,The unknown parameters of the stochastic system are estimated via Kalman filter.Maximum mutual information index is considered because it includes the dual property that tracks the desired output and probes the uncertainty of unknown parameters.A two-level algorithm is adopted so as to obtain the approximating suboptimal solution of the dual control law.An example is demonstrated to show the effectiveness and feasibility of this method.
Multi-objective Control Problem of Bilinear Systems
双线性系统多目标控制问题研究

QIAN Fu-Cai,GAO Zhen-Bin,LIU Ding,
钱富才
,高振斌,刘丁

自动化学报 , 2007,
Abstract: The control problem of bilinear systems with multiple objectives is studied.First,the multi-objective control problem is converted into a single objective optimal control problem using the utility function technology.The utility function is a nonlinear function of multiple quadratic performance indices,and therefore it is non-separable in the sense of dynamic programming.Then,to overcome this difficulty,a two-level optimal control algorithm is proposed.At the lower level,the formulated auxiliary Lagrangian problem is of a parametric bilinear-quadratic structure and it is solved by dynamic programming.Finally,the weighting vector in the auxiliary Lagrangian problem is adjusted by the upper level iteratively.This two-level process repeats until an optimal condition is satisfied.
Optimal control for uncertainty dynamic chaotic systems
不确定动态混沌系统的最优控制

Zhu Shao-Ping,Qian Fu-Cai,Liu Ding,
朱少平
,钱富才,刘丁

中国物理 B , 2010,
Abstract: For chaos control problem, in accordance with the constraints of control system energy, a quadratic objective function is first determined, and then a simple method for obtaining the optimal control law is proposed. This method gives the optimal control law by solving linear quadratic optimal control problem and avoids the difficulty of solving Hamilton-Jacobi-Bellman equation. Using Lyapnuov method, we prove the stability of the closed-loop system. For the unified chaotic system and Liu chaotic system the simulation results show the effectiveness of the control method.
Dual control based on two-level algorithm
基于两级算法的对偶控制

QIAN Fu-cai,LIU Ding,LI Yun-xia,
钱富才
,刘 丁,李云霞

控制理论与应用 , 2004,
Abstract: 考虑具有未知参数的随机系统的最优控制问题.采用包含新息方差指数项的损失函数优化系统的性能.新的损失函数由两部分组成:第一部分反映了对输出的调节作用;第二部分反映了辩识系统中未知参数应尽可能多地收集系统信息的需求.提出了一种两级优化算法.该算法首先把不可分问题转化为可分的两目标优化问题,再从两目标优化的非劣解集中挑出原问题的最优解.该控制律易于实施且具有对偶特点.仿真结果表明本文所得的控制律的有效性.
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