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基于二维混合模型的重复控制系统稳定性分析与控制器设计 总被引:2,自引:0,他引:2
针对一类线性不确定系统, 提出一种基于连续/离散二维混合模型的重复控制系统设计新方法. 首先建立重复控制系统的连续/离散二维混合模型, 将重复控制器设计问题转化为一类连续/离散二维系统的稳定性问题; 然后应用二维连续/离散系统方法, 给出了重复控制系统新的稳定性条件. 进一步, 利用线性矩阵不等式方法, 获得了重复控制系统稳定边界和重复控制器参数的计算方法. 与现有方法不同的是, 本文以二维混合模型来描述重复控制系统, 更加符合其本质特征, 实现了对重复控制过程中两种不同行为的独立调节. 最后, 数值仿真实例验证了本文所提方法的有效性. 相似文献
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针对二维多项式非线性系统,提出了基于特征根负定配置的镇定控制方法.引入自由多项式,克服系统状态矩阵描述的不惟一性,进而降低控制综合问题求解的保守性.将特征根负定配置问题转化成多项式正定性验证问题,控制器设计问题通过多项式分解最终可由半定规划工具数值求解.在所提出的处理方法的基础上,讨论了4类二维多项式非线性系统的镇定控制问题.仿真结果验证了所提出方法的有效性. 相似文献
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基于二维混合模型的保成本重复控制 总被引:2,自引:0,他引:2
针对一类线性不确定系统, 提出一种基于二维混合模型的重复控制设计新方法, 研究具有反馈作用的保成本重复控制设计与优化问题. 首先, 为了提高系统稳定性, 将反馈控制器引入到重复控制系统中, 设计一种具有反馈作用的重复控制系统结构; 然后通过建立重复控制系统的连续/离散二维混合模型, 将重复控制器设计问题转化为一类连续/离散二维系统的状态反馈控制问题. 在此基础上, 对给定的线性二次型性能指标, 给出闭环系统的保成本重复控制律参数设计及其优化方法. 对所有容许的不确定性, 保成本重复控制使稳态跟踪误差渐近稳定的同时, 线性二次型性能指标值小于某个常数. 所得结果以线性矩阵不等式的形式给出, 可利用MATLAB工具箱方便地求解.最后, 数值仿真验证了本文所提方法的有效性. 相似文献
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基于二维混合模型的重复控制系统设计新方法 总被引:3,自引:0,他引:3
现有重复控制方法是在一维空间上同时处理控制与学习过程, 这不利于重复控制系统的分析与设计. 本文针对一类线性不确定系统, 提出一种基于连续/离散二维混合模型的重复控制系统设计方法. 首先, 通过分析重复控制系统中独立存在的控制行为与学习行为, 建立重复控制系统的连续/离散二维混合模型, 将重复控制器设计问题转化为一类连续/离散二维系统的状态反馈控制问题; 然后应用二维连续/离散系统方法, 获得重复控制系统的稳定性条件, 根据稳定性条件并利用线性矩阵不等式(Linear matrix inequality, LMI)方法, 求得重复控制器参数. 与现有方法相比, 所提出的重复控制设计方法更加符合其本质特征, 具有简单实用、直观明了的特点, 克服了现有重复控制方法所存在的局限性. 最后, 数值仿真实例验证了本文所提方法的有效性. 相似文献
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基于二维混合模型的改进型重复控制系统保性能设计方法 总被引:1,自引:0,他引:1
针对一类具有参数不确定性的线性系统, 基于连续/离散二维混合模型进行改进型重复控制系统的保性能设计. 首先给出一种具有反馈作用的改进型重复控制系统结构, 通过独立地考虑重复控制系统的连续控制行为与离散学习行为, 建立重复控制系统的连续/离散二维混合模型, 并将重复控制的设计问题转化为一类连续/离散二维系统的状态反馈控制问题. 然后, 应用二维Lyapunov泛函导出保性能改进型重复控制器存在的充分条件, 进而证明该条件等价于一个线性矩阵不等式可解性问题. 最后通过求解对应的凸优化问题, 给出了最优保性能控制器的具体形式. 数值仿真验证了所提出方法的有效性. 相似文献
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Ji Sun 《International journal of control》2013,86(7):545-551
In this paper, a boundary control problem for the solidification temperature field is discussed. The problem is modified into one consisting of the minimization of a linear form over a set of positive measures satisfying linear constraints; the minimization in the new problem is global and can be approximated by a finite-dimensional linear programming problem. A nearly optimal control is constructed. An example is given to illustrate the procedure. 相似文献
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This paper presents a new method for the identification of Hammerstein systems. The parameter estimation problem is formulated as a rank minimization problem by constraining a finite dimensional time dependency between signals. Due to the unknown intermediate signal, the rank minimization problem cannot be solved directly. Thus, the rank minimization problem is reformulated as an intermediate signal construction problem. The main assumption used in this paper is that static nonlinearity is monotonically non-decreasing in order to guarantee a unique combination of a static nonlinear block and a Finite Impulse Response (FIR) linear block. The rank minimization is then relaxed to a convex optimization problem using a nuclear norm. The main contribution of this paper is that the proposed method extends the rank minimization approach to Hammerstein system identification, and does not need a bilinear parametrization and singular value decomposition (SVD), which are commonly used in two-step approaches for Hammerstein system identification. 相似文献
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A discrete-time linear optimal control problem with given initial and terminal times, state control constraints, and variable end points is set forth. Corresponding to this primal control problem, or maximization problem, is a dual linear control problem, or minimization problem. A dual maximum principle is proved with the aid of the duality theory of linear programming, where the dual of the Hamiltonian of the primal control problem is the Hamiltonian of the dual control problem. A discrete-time analog of the Hamilton-Jacobi equation is derived; and economic applications are discussed. 相似文献
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This paper studies a robust linear quadratic (LQ) control problem with multiple quadratic performance indices. Specifically, a linear model is assumed to be available for each of a prespecified set of operating points of a system. A vector-valued quadratic control performance index is given at each operating point. It is then desired to find the constant feedback gains of a linear controller to obtain satisfactory control performance over all the operating points. This is a realistic case involving the minimization of a vector criterion of vector criteria, i.e. a matrix-valued criterion. The matrix-valued criterion gives insight into standard robust LQ design, and leads to several related vector minimization problems, and to natural procedures for computing a satisfactory non-inferior solution to the matrix-valued minimization problem. 相似文献
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The Framework for Linear Periodic Time‐Delay Systems Based on Semi‐Discretization: Stability Analysis and Control
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Stability analysis and control for linear periodic time‐delay systems are investigated in this paper. In this framework, a semi‐discretization method is used to develop a mapping of the system response in a finite‐dimensional state space. With the mapping, the stability region and stability boundary can be identified by comparing the maximum absolute value of its eigenvalues to 1. More importantly, an efficient stability criterion is presented for periodic neutral systems. In addition, minimization of the maximum absolute value of the mapping's eigenvalues leads to optimal control gains. The tracking control problem is also discussed. Two numerical examples are given to illustrate the effectiveness of the proposed method. 相似文献
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PERTTI M. MÄKILÄ 《International journal of control》2013,86(4):921-941
Numerical solution of certain linear quadratic (LQ) control problems for robust design is addressed. An iterative method is suggested and analysed for solving a minimax multiple model LQ control problem. A convergent iterative method is studied for finding the constant feedback gains of a given linear controller so as to solve a spectral radius functional minimization problem for multiple plants. Furthermore, a convergent iterative method is proposed for solving the maximum entropy parametric LQ control problem with multiplicative noise. 相似文献
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Anders Klarbring Bo Torstenfelt Peter Hansbo Mats G. Larson 《Structural and Multidisciplinary Optimization》2017,56(4):781-789
A design problem of finding an optimally stiff membrane structure by selecting one–dimensional fiber reinforcements is formulated and solved. The membrane model is derived in a novel manner from a particular three-dimensional linear elastic orthotropic model by appropriate assumptions. The design problem is given in the form of two minimization statements. After finite element discretization, the separate treatment of each of the two statements follows from classical results and methods of structural optimization: the stiffest orientation of reinforcing fibers coincides with principal stresses and the separate selection of density of fibers is a convex problem that can be solved by optimality criteria iterations. Numerical solutions are shown for two particular configurations. The first for a statically determined structure and the second for a statically undetermined one. The latter shows related but non-unique solutions. 相似文献
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A discrete-time nonstationary linear control system is considered to be given by the algebraic difference equation in the state space. The control system is subject to a bounded additive noise. Uncertain parameters of the system take their values on the given polytopes which evolve in time. The objective is to generate a linear feedback, which provides the minimization of a given performance criterion in adaptive way. In general, the control problem is reduced to the convex programming one of an insignificant computational complexity. Therewith, the control problem can be solved analytically in the case of interval set-valued parameter estimates. 相似文献