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In the last chapter,we study the control problems of the distributedparameter system governed by a class of higher order pseudohyperbolicequation related to the symmetric regularized long wave equation.we havediscussed the controllability and optimal control problems.we have obtainedcompatibility condition of the constraint when the state is controllable,therepresentation of the optimal control for both the time optimal control problemand the optimal control problem of minimum energy type,and the equationsatisfied by the minimum time.we have shown that the optimal control belongsto the boundary of the admissible control set.

在第六章中,我们研究了与对称正则长波方程相关的一类高阶拟双曲型方程支配的分布参数系统的控制问题。讨论了系统的状态能控性问题和最优控制问题,给出了状态能控时的约束相容性条件,给出了最速控制问题、最小能量型最优控制问题的最优控制表达式和最速时间所满足的方程式,证明了最优控制属于控制集合的边界。

Then the stationary joint probability density, the conditional reliability function, the mean first-passage time of the optimally controlled system are obtained from solving the reduced FPK equation, the backward Kolmogorov equation and the Pontryagin equation, respectively of fully averaged systems.

求解与之相应的Fokker-Planck-Kolmogorov方程得最优控制系统的联合概率密度,进而求得最优控制系统的平均幅值;求解与之相应的后向Kolmogorov方程得最优控制系统的条件可靠性函数,进而求得首次穿越时间的条件概率密度;求解与之相应的Pontryagin方程得最优控制系统的平均首次穿越时间。

Both optimal control theory of modern cybernetics and the basic theory of distributed parameter systems are studied.

较系统地研究了现代控制论的最优控制理论和分布参数系统的基本理论,探明反问题与最优控制问题的结合点,并以偏微分方程控制的工程流体力学反问题为主要研究对象,将其提为分布参数系统的最优控制问题。

First low order approximation of generating function and approximate optimal trajectory were obtained. Then using low order approximation of generating function of Hamilton "relative motion" to the approximate optimal trajectory, improvement of the approximate optimal trajectory was iteratively made. In this way, high order approximation accuracy can be obtained by only using low order approximation, which is much cost effective in computing.

首先以较低的计算代价,获得最优控制Hamilton系统生成函数的低阶近似,得到一条近似的最优轨线,然后将最优控制Hamilton系统相对于近似最优轨线求"相对运动",该"相对运动"仍具有Hamilton性质,利用这一"相对运动"的生成函数低阶近似,可以对近似最优轨线进行迭代修正,从而以计算代价较小的低阶近似逼近计算代价高得多的高阶近似的精度。

An optimal control model is developed for the definite linear economic systems with an inequality constraint on state integrals, based on the dynamic input-output theory.

利用动态投入产出模型和控制理论方法相结合,对经济系统进行分析和宏观调控·具有状态积分不等式约束的确定性线性经济系统最优控制模型,是基于动态投入产出理论建立的·利用无约束条件的极大值原理,分析了最优技术与经济控制策略的存在性和惟一性,使得产品的实际产出尽量接近理想产出,同时使能源、资金等消耗最小,并给出了最优反馈控制的形式

In our thesis, contents are organized as following In Chapter 1 we present our topic's internal and overseas research situations, theoretical and practical significance, and introduce the research object and contents, and the main contributions of this dissertation. Chapter 2 reviews the development of the stability results for nonlinear systems and some relevant recent results, which include Lyapunov and LaSalle-Yoshizawa theorems for nonlinear systems, and stochastic edition for stochastic nonlinear systems. Sontag's formula for systems affine in control is presented in the frame of CLF. The concepts of disturbance attenuation and the inverse optimality are also explained in this Chapter. In chapter 3 we present the solvable theorem of inverse optimal gain assignment problem, design the inverse optimal controller and the inverse optimal tracking controller for strict-feedback nonlinear continuous systems with unknown time-varing bounded disturbances and constant unknown parameters using an adaptive backstepping algorithm, which are nonlinear, continuous and are easier to realize. These designs are fully systematic and the algorithm can be directly coded in symbolic software. The results of simulation show the effectiveness of the control algorithms.

论文的结构如下:在第1章中,给出了本文研究课题的研究现状、理论意义和实际应用,并介绍了本文的研究对象、研究内容以及主要贡献;在第2章中,针对确定性非线性系统和随机非线性系统,分别介绍了Lyapunov定理、LaSalle-Yoshizawa定理及其随机版本;对仿射系统,在控制Lyapunov函数框架下,给出了Sontag公式;同时给出了非线性系统扰动抑制和逆最优控制问题的基本概念;在第3章中,针对具有未知时变有界扰动和未知定常参数的一类不确定非线性系统,给出并证明了逆最优增益配置可解定理,使用自适应Backstepping算法和均值定理,系统地设计了自适应逆最优控制器和逆最优跟踪器,这种设计方法可同时获得逆最优控制策略和自适应律,简单明了,仿真结果表明该控制算法的有效性,并给出了性能估计。

In Chapter 4 we discuss the solvable theorem of adaptive inverse optimal control problems, and proceed with controller designs of global asymptotic stability in probability, adaptive inverse optimal stabilization in probability and output-feedback adaptive inverse optimal stabilization in probability for strict-feedback stochastic nonlinear continuous systems with additive standard Wiener noises and constant unknown parameters using It〓's differentiation rule and an adaptive backstepping algorithm. Control laws and adaptive laws can be obtained at one time by this design scheme. Many simulations have been performed to validate the properties of the proposed adaptive control scheme.

在第4章中,针对具有标准Wiener噪声扰动和未知定常参数的不确定随机非线性系统,提出并证明了自适应逆最优控制问题可解定理,构造了适当形式的四次型随机控制Lvapunov函数,基于It〓微分规则和自适应Backstepping算法,系统地设计了全局依概率渐近稳定控制器、自适应逆最优控制器、输出反馈逆最优控制器以及在设计中如何处理二阶Hessian矩阵函数的方法,这种方法可同时获得控制律和自适应律,通过实例仿真,表明该控制算法是有效性的。

To the schoduling problems arised in FMS, we develop an extended approximate Brownian network model for the multistation inulticlass queueing with general service time distribution, unreliable stations and finite buffers under balanced heavy loading conditions.

本文针对FMS的调度问题,考虑到多台机器、机器不可靠及缓冲库容量有限等特点,在满负载平衡的条件下,建立了一种近似的布朗网络模型,然后基于求解这个模型的最优控制问题而得到的最优队长和最优空闲时间,提出了一种最优控制策略,包括排序策略和输入控制策略,因为不涉及随机变量的分布类型,所以本文的方法适用于一般的FMS。

Moreover, in order to find the optimal control strategy we propose optimal control models and obtain optimality conditions.

此外为了寻找最优策略,建立了最优控制模型,研究了最优控制问题的最优性条件。

Carleman不等式及其在最优控制问题中的应用.Optimal control theory of distributed parameter systems mainly includes: Pontryagin's maximum principle; controllability; Hamilton-Jacobi equation (i.e., dynamic programming equation); time optimal control, etc.In this dissertation, we establish Pontryagin's maximum principle of optimal control problems governed by some nonlinear differential equations (parabolic differential equations, elliptic differential equations and 3-dimensional Navier-Stokes equations), which in particular could have local solut...

在这篇博士论文中,我们建立了非线性微分方程(包括抛物型微分方程,椭圆型微分方程以及3维Navier-Stokes方程)最优控制问题的庞特里雅金最大值原理,特别地,这些方程可能只有局部解或存在多解(我们称这样的系统为非适定系统,相应的最优控制问题为非适定最优控制问题),以及适定的非线性发展方程最优控制问题的庞特里雅金最大值原理;我们研究了phase-field系统的时间最优控制问题以及Boussinesq系统的局部内可控性。

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