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1.
该文考虑了带有内部扰动的Timoshenko梁的稳定性问题.根据滑模控制的思想,设计非线性分布反馈控制器来降低额外扰动的影响.由于所导出的受控系统是非线性系统,应用非线性极大单调算子理论和变分原理分析非线性闭环系统的可解性.并且通过Ly印unov方法证明闭环系统的指数稳定性.  相似文献   

2.
基于变结构控制思想,结合H∞优化设计理论及稳态状态协方差配置的系统综合方法,对一类具有参数扰动的不确定线性连续随机系统进行H∞约束方差控制的设计.利用变结构控制的不变性,使受控系统在滑模面上与满足匹配条件的系统不确定性无关.根据伊藤积分设计的控制u(t),综合考虑了变结构控制的滑模阶段与到达阶段;导出的反馈增益矩阵G使在滑模面上,闭环系统的各个状态分量的稳态方差满足预先给定的上界约束,同时从噪声输入到系统输出的传递函数的H∞范数也满足预先给定的指标约束.  相似文献   

3.
本文对带有界扰动的一类大型互联非线性系统进行了分散状态反馈控制设计,通过子系统状态的线性变换,得到分散状态反馈控制律.当状态反馈控制律作用于该系统时,无扰动的闭环系统是渐近稳定的.当扰动较小时,系统的状态能够收敛到原点的一个小邻域内.  相似文献   

4.
文章针对一类具有参数不确定性和未知扰动项的非仿射非线性系统,提出了一种基于奇异摄动理论的鲁棒自适应控制方法.首先,通过控制输入构建了一个快变子系统,为原系统引入时标分离特性,使闭环系统可以在快变和慢变时间尺度上分解为两个降阶子系统:边界层子系统和降阶慢变子系统.在快时间尺度上,通过设计边界层子系统的结构使其在平衡点处指数稳定;在慢时间尺度上,针对含有参数不确定性和未知扰动项的降阶慢变子系统设计鲁棒自适应控制器.根据奇异摄动理论,闭环系统的跟踪性能可由降阶慢变子系统近似.文章提出的控制方法同时考虑了参数不确定性和未知扰动项的影响,在不忽略非仿射结构的前提下实现控制目标,不依赖于原系统的时标分离特性,且避免了反步法中的“复杂性爆炸”问题.两组与参考文献控制方法的对比仿真结果验证了文章控制方法的有效性.  相似文献   

5.
讨论了边界带有不确定扰动的一维Timoshenko梁方程的边界反馈稳定性.运用的方法主要是自抗扰控制,其主要思想是通过构造常数高增益扩张状态观测器将扰动在线估计并在反馈控制中实时消除.最后通过李雅普诺夫方法证明了闭环系统具有实用稳定性.  相似文献   

6.
研究具有反馈控制的单方不能独立生存两种群合作系统正平衡点和边界平衡点的稳定性.通过构造适当的Ly印unov函数分别得到一组保证正平衡点和边界平衡点全局吸引的充分性条件.我们的结果表明在原系统存在唯一的全局吸引的正平衡点时,反馈控制变量控制在一定的范围,则所研究系统仍然具有唯一的全局吸引的正平衡点;反馈控制变量足够大,则第二个种群将最终绝灭;在原系统只有一个全局稳定的边界平衡点时,反馈控制变量仅改变正平衡点的位置,而不会改变边界平衡点的稳定性.  相似文献   

7.
讨论了与害虫治理相关的一类捕食者具脉冲扰动与食饵具有化学控制的阶段结构时滞捕食-食饵模型,得到了害虫灭绝周期解的全局吸引和系统持久的充分条件,也证明了系统的所有解的一致完全有界.得出的结论为现实的害虫治理提供了可靠的策略依据.  相似文献   

8.
王震  惠小健  孙卫  李永新 《数学杂志》2015,35(3):672-682
本文研究了一类周期参数扰动的T混沌系统的周期轨道问题.利用次谐波Melnikov方法,获得了具有广义Hamilton结构的周期参数扰动的慢变系统的振荡周期轨道和旋转周期轨道.  相似文献   

9.
脉冲控制具有响应速度快,鲁棒性和抗干扰能力好的特点,被广泛应用于参数随机扰动的动力学系统的控制.本文研究一类参数随机扰动的变时滞细胞神经网络在脉冲控制下的全局指数稳定性问题.利用Ly印unov稳定性理论和离散Halanay不等式技术手段,分别给出在脉冲控制下,参数随机扰动和无参数扰动的变时滞细胞神经网络全局指数稳定的充分条件.最后,通过数值算例说明所得结果.  相似文献   

10.
傅勤  杨成梧 《应用数学》2008,21(2):251-257
本文对带有界扰动的一类大型互联非线性系统进行了分散输出反馈控制设计,通过子系统状态的线性变换,得到分散输出反馈控制律.当输出反馈控制律作用于该系统时,系统的状态能够收敛到原点的一个小邻域内.  相似文献   

11.
The paper is devoted to the study of some classes of feedback control problems for linear parabolic equations subject to hard/pointwise constraints on both Dirichlet boundary controls and state dynamic/output functions in the presence of uncertain perturbations within given regions. The underlying problem under consideration, originally motivated by automatic control of the groundwater regime in irrigation networks, is formalized as a minimax problem of optimal control, where the control strategy is sought as a feedback law. Problems of this type are among the most important in control theory and applications — while most challenging and difficult. Based on the Maximum Principle for parabolic equations and on the time convolution structure, we reformulate the problems under consideration as certain asymmetric games, which become the main object of our study in this paper. We establish some simple conditions for the existence of winning and losing strategies for the game players, which then allow us to clarify controllability issues in the feedback control problem for such constrained parabolic systems.  相似文献   

12.
利用变结构控制理论研究了一个基于营养动力学的广义捕食者一食饵一生物残体系统的变结构控制问题.首先,给出了基于营养动力学的广义捕食者一食饵一生物残体系统的正则平衡点的稳定性条件;同时利用广义系统理论研究了基于营养动力学的广义捕食者一食饵一生物残体系统的正则化问题,得到了其可正则化条件;最后,对其实施控制,并利用变结构控制理论,实现了基于营养动力学的广义捕食者一食饵一生物残体系统的稳定化,保持了系统的持续生存.  相似文献   

13.
研究了一类事件驱动的变结构动态系统的非光滑最优性条件. 通过引入一个新的时间变量, 将变结构动态系统的最优性问题转化为古典动态系统的最优性问题. 基于广义微分和古典动态系统的最优性理论, 得到了该系统的Frechet上微分形式的必要性条件, 推广了已有文献的相关结论. 结果表明, 在系统的连续运行过程中, 控制变量、协态变量和状态变量满足最小值原理和协态方程. 在系统的运行模型发生改变时, 协态变量产生一定的跳跃, 哈密尔顿函数连续. 最后通过一个算例说明了该结论的有效性.  相似文献   

14.
The convergence of the simulated annealing algorithm is accelerated by a probabilistic feedback control scheme. This scheme uses two or more parallel processors to solve the same or related combinatorial optimization problems and are coupled by a probabilistic measure of quality (PMQ). The PMQ is used to generate an error signal for use in feedback control. Control over the search process is achieved by using the error signal to modulate the temperature parameter. Other aspects of control theory, such as the system gain and its effects on system performance, are described. Theoretical and experimental results show that such a scheme increases the steadystate probability of the globally optimal solutions.  相似文献   

15.
This paper deals with the computation of optimal feedback control laws for a nonlinear stochastic third-order system in which the nonlinear element is not completely specified. It is shown that, due to the structure of the system, the optimal feedback control law, whenever it exists, is not unique. Also, it is shown that, in order to implement an optimal feedback control law, a nonlinear partial differential equation has to be solved. A finite-difference algorithm for the solution of this equation is suggested, and its efficiency and applicability are demonstrated with examples.  相似文献   

16.
A linear optimal control problem for a nonstationary system with a single delay state variable is examined. A fast implementation of the dual method is proposed in which a key role is played by a quasi-reduction of the fundamental matrices of solutions to the homogeneous part of the delay models under analysis. As a result, an iteration step of the dual method involves only the integration of auxiliary systems of ordinary differential equations over short time intervals. A real-time algorithm is described for calculating optimal feedback controls. The results are illustrated by the optimal control problem for a second-order stationary system with a fixed delay.  相似文献   

17.
The problem of optimal fixed-time controllability to zero for an ordinary differential equation is investigated. We were inspired by the papers Lopez-Ramirez et al. (2018) and Polyakov (2012). We assume that our system is finite time stable. The initial conditions of trajectories we treat as control. We want to maximize the time when the trajectory starting at initial condition terminates at zero. We continue the control approach to stability from Polyakov (2012) to construct sufficient optimality conditions for the fixed-time stability in terms of the optimal control theory and find closed-loop control (feedback control) to steer the trajectory to zero.  相似文献   

18.
This paper considers optimal feedback control policies for a class of discrete stochastic distributed-parameter systems. The class under consideration has the property that the random variable in the dynamic systems depends only on the time and possesses the Markovian property with stationary transition probabilities. A necessary condition for optimality of a feedback control policy, which has form similar to the Hamiltonian form in the deterministic case, is derived via a dynamic programming approach.  相似文献   

19.
In this paper we first derive the verification theorem for nonlinear optimal control problems over time scales. That is, we show that the value function is the only solution of the Hamilton-Jacobi equation, in which the minimum is attained at an optimal feedback controller. Applications to the linear-quadratic regulator problem (LQR problem) gives a feedback optimal controller form in terms of the solution of a generalized time scale Riccati equation, and that every optimal solution of the LQR problem must take that form. A connection of the newly obtained Riccati equation with the traditional one is established. Problems with shift in the state variable are also considered. As an important tool for the latter theory we obtain a new formula for the chain rule on time scales. Finally, the corresponding LQR problem with shift in the state variable is analyzed and the results are related to previous ones.  相似文献   

20.
We consider an infinite time horizon spatially distributed optimal harvesting problem for a vegetation and soil water reaction diffusion system, with rainfall as the main external parameter. By Pontryagin's maximum principle, we derive the associated four‐component canonical system (CS), and numerically analyze this and hence the optimal control problem in two steps. First, we numerically compute a rather rich bifurcation structure of flat (spatially homogeneous) canonical steady states and patterned canonical steady states (FCSS and PCSS, respectively), in 1D and 2D. Then, we compute time‐dependent solutions of the CS that connect to some FCSS or PCSS. The method is efficient in dealing with nonunique canonical steady states, and thus also with multiple local maxima of the objective function. It turns out that over wide parameter regimes the FCSS, i.e., spatially uniform harvesting, are not optimal. Instead, controlling the system to a PCSS yields a higher profit. Moreover, compared to (a simple model of) private optimization, the social control gives a higher yield, and vegetation survives for much lower rainfall. In addition, the computation of the optimal (social) control gives an optimal tax to incorporate into the private optimization.  相似文献   

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