Processing network models of energy/environment systems

Processing networks are a variant of the standard linear programming network model which are especially useful for optimizing industrial energy/environment systems. Modelling advantages include an intuitive diagrammatic representation and the ability to incorporate all forms of energy and pollutants in a single integrated linear network model. Added advantages include increased speed of solution and algorithms supporting formulation. The paper explores their use in modelling the energy and pollution control systems in large industrial plants. The pollution control options in an ethylene production plant are analyzed as an example. PROFLOW, a computer tool for the formulation, analysis, and solution of processing network models, is introduced.

Set invariance in control

The properties of positively invariant sets are involved in many different problems in control theory, such as constrained control, robustness analysis, synthesis and optimization. In this paper we provide an overview of the literature concerning positively invariant sets and their application to the analysis and synthesis of control systems.

基于DSP旋翼飞行机器人增稳操纵杆设计

本文首先介绍了旋翼飞行机器人控制系统的功能与应用,着重介绍了其中基于tmx320f28335数字信号处理器的无线增稳操控系统工作原理、硬件构架以及软件流程,并对AD转换过程中的关键FIR滤波算法进行说明,详尽比较了不同滤波参数对滤波效果的影响,最后得到该方法可以应用于旋翼飞行机器人增稳控制系统的结论,并将应用该方法滤波后的控制信号应用于实际增稳飞行,以实际数飞行据验证上述结论。

jλ变换与离散振荡指标Md在海洋机器人控制系统动态综合中的应用

本文给出由连续系统的S域,到离散领域?的转换的通式。并给出了离散传递函数W(?)的基本属性、离散振荡指标Md的基本概念、?变换的稳定判据、二阶无静差数字随动系统的动态综合、Md综合在海洋机器人航向控制中的应用。