研究基于动态投入产出理论的确定性线性经济系统控制模型。
In this paper, a deterministic linear economic system control model based on dynamic input-output theory is studied.
经济系统是一个动态系统，充满着各种不确定性因素。
Economic system is a dynamic system in which there are kinds of uncertainty factors.
理论分析证明，该方案有效地改善了系统的动态品质，并且对系统的不确定性因素具有较强的鲁棒性。
It is demonstrated by theoretical analysis, that the scheme efficiently improves the dynamic characteristics and is robust to the system uncertainties.
该方法的出发点是利用系统自身的资源管理和动态重构来应付环境的变化和不确定性。
The central idea of the approach is to enhance workflow systems ability to cope with environmental uncertainties and changes by means of resource management and dynamic system reconfiguration.
本文从输入输出的角度研究带有动态反馈不确定性系统的类梯度性。
The paper studies the gradient-like property of the systems with feedback uncertainties from an input output point of view.
采用确定性模型法建立了热泵机组的模型，然后通过能量和质量守衡方程序建立了系统动态耦合模型。
The dynamic system model is coupled with geothermal heat exchanger model and heat pump unit model, which is based on the conservation of mass and energy.
在确定性的非线性动态系统中，混沌理论是针对不稳定的非周期行为的量性研究。
Chaos Theory is the qualitative study of unstable aperiodic behaviour in deterministic non-linear dynamical systems.
基于观测器的动态系统故障诊断技术的可行性和应用性，关键是对系统不确定性因素具有良好的鲁棒性。
A key for the feasibility and applicability of the techniques of observer-based fault diagnosis for dynamic systems is a satisfactory robustness with respect to system uncertainties.
全面风险管理就是用系统的、动态的方法进行控制，以减少项目过程中的不确定性。
Overall risk management is to control in a systematic and dynamic way to decrease the uncertainties in the process of projects.
机器人足球系统环境是一个具有动态性、不确定性、实时性的环境，在这样一个具有高度实时性和竞争性平台上研究路径规划也是一个很有挑战性的课题。
Soccer robot system is a dynamic, uncertain and real-time platform, and in such an adversarial and competitive environment, how to realize the real-time robot path-planning is a challenge problem.
针对电液比例压力控制系统的特点，即非线性、动态不确定性等，提出了一种灰色预测模糊控制算法。
Aimed at the characteristics of electro-hydraulic proportional pressure control system, such as, non-linear, uncertainty dynamic, and so on, a grey prediction fuzzy control algorithm was proposed.
首先推导出了由两相永磁步进电动机驱动单址天线转动的动态方程，描述了系统存在的模型不确定性。
Firstly, the dynamic equation of SA antenna rotation driven by two-phase permanent magnetic stepper motor was derived. Then the structured model uncertainties were described.
首先用一种人工神经网络和线性动态系统的串级模型对非线性动态系统建模，这种模型具有很大的确定性与通用性。
First, a cascade model with neural networks and linear dynamic systems, which is determinate and general, is used in modeling the nonlinear dynamic systems.
将状态矩阵和控制输入矩阵中同时含有未知、有界不确定性的一类切换系统转化为动态区间系统。
The class of switched systems, unknown-but-bounded parameters contained in both stated matrix and input matrix, are transformed into dynamic interval systems.
加之网络中存在一定的观测噪声，互联网俨然变成了一个复杂的动态系统，这为传统确定性故障定位技术提出了新的要求和挑战。
Coupled with the observation noise in the network environment, the Internet has become a complex dynamic system, which a great challenge for traditional deterministic fault localization technique.
供应链是一种具有不确定性或随机性的动态复杂系统，系统仿真及其优化方法很自然地成为求供应链问题的重要途径。
Supply chain is an uncertain and stochastic complex system, and therefore system simulation and optimization methods tend to solve supply chain problems.
针对火电厂过热汽温控制系统的大滞后、大惯性以及动态特性随工况变化的不确定性等特点，本文提出了ADRC过热汽温控制方案。
In light of the large delay, strong inertia, and uncertainty characteristics of superheated steam temperature process, an active disturbance rejection control (ADRC) scheme is presented.
为了克服实际的悬架控制系统动态行为的不确定性，采用了自适应l QG控制策略。
The adaptive LQG control strategy is adopted to overcome the uncertainties of the dynamic behavior of the practical suspension system.
对比结果表明，所设计的控制器对设定直线的跟踪具有良好的动态特性，对系统的不确定性具有较强的鲁棒性。
It shows that the proposed VSC is characterized by good dynamic performance for tracking the prescribed line, and robustness against the uncertainties in the system.
第二章考虑了一类含动态不确定性的非线性系统的鲁棒自适应镇定问题。
In Chapter 2, for a class of nonlinear systems with dynamic uncertainties, robust adaptive stabilization problem is considered.
神经网络控制作为一种全新的智能控制方法，为解决高度不确定性和严重非线性的复杂动态系统的控制问题开辟了一条新的途径。
As a new intelligent control method, the neural-network-based technique provides a potential tool for solving the control problems of highly uncertain, complex, nonlinear dynamical systems.
实际系统中，用来描述被控系统动态特性的模型往往具有某种不确定性。
In real control system, the model, which is used to describe the dynamics of controlled system, always has some uncertainty.
针对一类同时含未建模动态、非线性不确定性和参数不确定性的非线性系统，研究它的鲁棒自适应控制问题。
The paper studies the problem of robust adaptive control for a class of nonlinear systems subject to unmodeled dynamics, nonlinear uncertainties and parameter uncertainties.
结果由于通过动态干扰补偿算法估算系统不确定性，消除了滑膜算法固有的抖震现象。
Results as the dynamic disturbance compensator was used to estimate the uncertainty of system, the chattering effect in sliding mode control algorithm was eliminated.
系统中含有的未建模动态是更广泛的输入到状态实践稳定，非线性不确定性满足三角界条件。
The more extensive unmodeled dynamics introduced is input-to-state practical stable (ISpS), and unknown nonlinearities satisfy triangular bound conditions.
对于具有参数摄动但其摄动范围未知的动态系统的状态估计问题 ，通过把参数摄动归并到扰动中去 ，则可作为确定性系统对待 。
The problem of state estimation for systems with uncertainties of unknown bound can be treated as determinant systems via ascribing uncertainty to disturbance.
对于具有参数摄动但其摄动范围未知的动态系统的状态估计问题 ，通过把参数摄动归并到扰动中去 ，则可作为确定性系统对待 。
The problem of state estimation for systems with uncertainties of unknown bound can be treated as determinant systems via ascribing uncertainty to disturbance.
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