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本文首先建立了航天器姿态动力学及运动学方程，该方程具有较强的非线性特性。通过将状态耦合部分作系统干扰项的处理，使原来的非线性模型转化为线性模型加非线性干扰的形式，从而得到了更加简单明了的姿态控制系统的表达式。
在应用滑模变结构原理对系统进行控制器设计时，首先通过二次型最优法求出了最优滑动面，在此基础上，利用自适应滑模控制原理，设计出了合适的系统控制律。
最后，运用所设计的姿态控制系统对某航天器进行数值仿真，并对仿真结果进行了分析。仿真结果很好地体现出所设计的变结构控制器的优点，并成功地
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control book for engineering 2
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混合动力汽车（HEV）是在电动汽车发展过程中出现的一种低油耗、低排放、
续驶历程长、价格适中，兼具纯电动汽车和传统燃油汽车优点的新型汽车，由于在
技术、经济和环境等方面的综合优势，HEV 被认为是目前最切实可行的清洁汽车方
案。-A STUDY ON OPTIMAL ENERGY MANAGEMENT
AND CONTROL STRATEGY FOR HYBRID
ELECTRIC VEHICLES
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介绍了一种目前同步磁阻电机的新型弱磁控制的方案-An Optimal Current Vector Control for
Synchronous Reluctance Motors Incorporating
Field Weakening
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针对登月舱上升段轨迹优化问题，建立上升舱动力学模型，用无量纲技术建立最优控制模型；以燃料消耗最优为指标，利用Pontrjagin极小值原理，将问题转化为时间自由的两点边值问题(TPBVP)。采用一种基于初值猜测方法和向前扫描法求解TPBVP，得到最优上升轨迹。仿真结果表明：此方法收敛速度快、可靠性高，为月面返回实际应用提供一定的参考。-According to the problem of trajectory optimization for the lunar module in ascen
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介绍一家老外的可编程智能驱动器。[8]通过配套的编程和监控软件，用类似PLC方式对二相混合式步进电机进行单轴和多轴运动，进行开/闭环控制，很
方便为各行业的运动控制提供最优化的解决方案，性价比高。-Introduce a foreigner programmable Smart Drive. [8] by supporting programming and monitoring software, the PLC-way two-phase hybrid stepper motor
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这是几篇关于微型光伏并网逆变器在轻载条件下提高效率的方法的英文文章。-An Optimal Control Method for Grid-Connected Photovoltaic Micro-inverter to Improve the Efficiency at Light-load Condition
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清华大学硕士论文。
本文利用广义 Hermite-Biehler
定理，提出在 PID 控制器参数稳定域内设计高阶对象的最优 PID 控制器，
与此同时利用 Kharitonov 定理、Monte-Carlo 随机实验方法和 H∞混合灵
敏度约束研究 PID 控制器的鲁棒稳定性和性能鲁棒性。
-The algorithm for parameter’s region
of PID controller, which satisfies H∞ mixed sensitivi
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模糊控制、最优控制、以及神经网络控制的集合算法比较，主要适用于初学者-Fuzzy control, optimal control, a collection of algorithms and neural network control comparison, mainly for beginners
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This paper presents a new and efficient approach for capacitor placement in
radial distribution systems (RDS) that determine the optimal locations and size of
capacitor with an objective of improving the voltage profile and reduction of power los
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This paper presents a new and efficient approach for capacitor placement in
radial distribution systems (RDS) that determine the optimal locations and size of
capacitor with an objective of improving the voltage profile and reduction of power los
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A Three-Phase Power Flow Modelization: A Tool for Optimal Location and Control of
FACTS Devices in Unbalanced Power Systems-A Three-Phase Power Flow Modelization: A Tool for Optimal Location and Control of
FACTS Devices in Unbalanced Power Syst
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The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
id
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Abstract—Demand Response (DR) and Time-of-Use (TOU)
pricing refer to programs which offer incentives to customers
who curtail their energy use during times of peak demand. In this
paper, we propose an integrated solution to predict and re-engin
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Gaussian Bare-Bones Differential Evolution
Differential evolution (DE) is a well-known algorithm
for global optimization over continuous search spaces. However,
choosing the optimal control parameters is a challenging task
because they are
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The main contribution of this paper is using
optimal control theory for improving the convergence
rate of backpropagation algorithm. In the proposed
approach, the learning algorithm of backpropagation
is modeled as a minimum time control prob
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