共查询到20条相似文献,搜索用时 15 毫秒
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Yongpeng Zhang Leang‐San Shieh Cajetan M. Akujuobi Warsame Ali 《Asian journal of control》2004,6(4):483-495
A new methodology is proposed to design digital PID controllers for multivariable systems with time delays. Except for a few parameters that are preliminarily selected, most of the PID parameters are systematically tuned using the developed plant state‐feedback and controller state‐feedforward LQR approach, such that satisfactory performance with guaranteed closed‐loop stability is achieved. In order to deal with the modeling error owing to the delay time rational approximation, an IMC structure is utilized, such that robust stability is achieved, without need for an observer, and with improved online tuning convenience. Using the prediction‐based digital redesign method, the digital implementation is obtained based on the above‐proposed analog controller, such that the resulting mixed‐signal system performance will closely match that of the analog controlled system. An illustrative example is given for comparison with alternative techniques. 相似文献
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多变量非线性问题计算机图示的数学模型及其应用 总被引:2,自引:0,他引:2
本文将三维空间中非线性问题计算机图示的方法推广到多维空间中非线性问题,导出了一般多变量非线性问题计算机图示的数学模型,从而为计算机图示多变量非线性问题,获得多变量非线性问题总体的,直观的形象,以方便地把握问题总体变化趋势,提供了工具. 相似文献
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This paper proposes an output‐feedback sliding mode control design for a class of uncertain multivariable plants with nonlinear disturbances. The approach used here is based on the control parameterization employed in model‐reference adaptive control. The disturbances are allowed to be unmatched and to depend not only on the plant output but also on its unmeas‐urable state. A less restrictive condition on the uncertainty of the high frequency gain matrix is also obtained. 相似文献
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一个通用的混合非线性规划问题的演化算法 总被引:8,自引:0,他引:8
提出了一种新的求解非线性规划问题的演化算法,它是在郭涛算法的基础上提出的,新算法的主要特点是引入了变维子空间,加入了子空间搜索过程和规范化约束条件以及增加了处理带等式约束的实数规划,整数规划,0-1规划和混合整数规划问题的功能,使之成为一种求解非线性规划(NLP)问题的通用算法,数值实验表明,新算法不仅是一种通用的算法,而且与已有算法的计算结果相比,其解的精确度也最好。 相似文献
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STATE‐SPACE DIGITAL PID CONTROLLER DESIGN FOR MULTIVARIABLE ANALOG SYSTEMS WITH MULTIPLE TIME DELAYS
This paper presents a discrete‐time state‐space methodology for optimal design of digital PID controllers for multivariable analog systems with multiple time delays. The multiple time‐delayed multivariable analog systems are formulated in a state‐space generic form so that the exact discrete‐time state‐space model can be constructed. Then, the optimal digital PID controller is designed via a state‐feedback and state‐feedforward LQR approach. The developed PID controller can be applied to a general time‐delayed multivariable analog system represented by a semi‐proper or strictly proper transfer function matrix. Illustrative examples are given to compare the performance of the proposed approach with alternative techniques. 相似文献
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一类多变量非线性动态系统的鲁棒自适应模糊控制 总被引:5,自引:0,他引:5
对一类非线性多变量未知动态系统,提出了一种自适应模糊控制策略.策略中采用IF-THEN推理规则来构造模糊逻辑系统,实现对系统中未知函数的估计,在建模误差为零的条件下设计状态反馈控制器及参数的自适应律.分析了当存在建模误差时,闭环系统的稳定性和鲁棒性. 相似文献
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In this paper we present a new sufficient condition for absolute stability of delay Lure system. This condition improves the one given in [1]. We use this new criterion to construct an observer‐based control for a class of nonlinear time‐delay systems. Some examples are given to illustrate the results of this paper. 相似文献
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In this paper, the H∞ approximate I/O linearization formulation and μ‐synthesis are employed to design a nonlinear controller for an aircraft longitudinal flight control problem. We propose modified nonlinear H∞ controller formulas to approximately linearize the system and use μ‐synthesis to address tracking, regulation, and robustness issues. 相似文献
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本文利用微分几何方法,讨论了一般非线性系统的反馈解耦和无交互控制问题,给出了一般非线性系统的状态方程反馈解耦及块输入-块输出无交互控制问题可解的充分必要条件. 相似文献
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一类非线性时变结构系统的辨识方法和预报器 总被引:1,自引:0,他引:1
本文对一类非线性时变结构系统,给出一种新型的递推梯度法和结构适应式自校正递推预报器.这种算法能自动改变模型的结构.通过油田预报实践,表明这种预报器能跟踪系统结构性变化,从而提高变结构系统预报的精度. 相似文献
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ON SOCIAL LEARNING AND ROBUST EVOLUTIONARY ALGORITHM DESIGN IN THE COURNOT OLIGOPOLY GAME 总被引:4,自引:0,他引:4
Agent-based computational economics (ACE) combines elements from economics and computer science. In this article, the focus is on the relation between the evolutionary technique that is used and the economic problem that is modeled. In the field of ACE, economic simulations often derive parameter settings for the genetic algorithm directly from the values of the economic model parameters.
This article compares two important approaches that are dominating in ACE and shows that the above practice may hinder the performance of the genetic algorithm and thereby hinder agent learning. More specifically, it is shown that economic model parameters and evolutionary algorithm parameters should be treated separately by comparing the two widely used approaches to social learning with respect to their convergence properties and robustness. This leads to new considerations for the methodological aspects of evolutionary algorithm design within the field of ACE. 相似文献
This article compares two important approaches that are dominating in ACE and shows that the above practice may hinder the performance of the genetic algorithm and thereby hinder agent learning. More specifically, it is shown that economic model parameters and evolutionary algorithm parameters should be treated separately by comparing the two widely used approaches to social learning with respect to their convergence properties and robustness. This leads to new considerations for the methodological aspects of evolutionary algorithm design within the field of ACE. 相似文献
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A direct robust adaptive nonlinear control scheme for a class of uncertain nonlinear Markovian jump systems with nonlinear state‐dependent uncertainty is presented. The proposed scheme is Lyapunov‐based and guarantees the global uniform ultimate boundedness of the closed‐loop system in the mean sense. A numerical example is given to demonstrate the validity of the results. 相似文献
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