Data-driven asymptotic stabilization for discrete-time nonlinear systems

In this paper, we propose a data-driven feedback controller design method based on Lyapunov approach, which can guarantee the asymptotic stability of the closed-loop and enlarge the estimate of domain of attraction (DOA) for the closed-loop. First, sufficient conditions for a feedback controller asymptotically stabilizing the discrete-time nonlinear plant are proposed. That is, if a feedback controller belongs to an open set consisting of pairs of control input and state, whose elements can make the difference of a control Lyapunov function (CLF) to be negative-definite, then the controller asymptotically stabilizes the plant. Then, for a given CLF candidate, an algorithm, to estimate the open set only using data, is proposed. With the estimate, it is checked whether the candidate is or is not a CLF. If it is, a feedback controller is designed just using data, which satisfies sufficient conditions mentioned above. Finally, the estimate of DOA for closed-loop is enlarged by finding an appropriate CLF from a CLF candidate set based on data. Because the controller is designed directly from data, complexity in building the model and modeling error are avoided.     

On control of discrete-time state-dependent jump linear systems with probabilistic constraints: A receding horizon approach

In this article, we consider a receding horizon control of discrete-time state-dependent jump linear systems, a particular kind of stochastic switching systems, subject to possibly unbounded random disturbances and probabilistic state constraints. Due to the nature of the dynamical system and the constraints, we consider a one-step receding horizon. Using inverse cumulative distribution function, we convert the probabilistic state constraints to deterministic constraints, and obtain a tractable deterministic receding horizon control problem. We consider the receding horizon control law to have a linear state-feedback and an admissible offset term. We ensure mean square boundedness of the state variable via solving linear matrix inequalities off-line, and solve the receding horizon control problem on-line with control offset terms. We illustrate the overall approach applied on a macroeconomic system.     

DCS控制系统在粗苯蒸馏工艺中的应用

针对传统粗苯蒸馏工艺人工调节频繁,调节不及时、不准确,产品质量不稳定,劳动负荷大等问题,通过引入DCS控制系统,建立计算机自动调节模型,调整函数的微分和积分变量实现脱苯塔塔顶回流量、进再生塔的蒸汽量和管式加热炉富油出口温度的自动控制,从而实现粗苯生产工艺的稳定、高产、优质和低耗。     

直播稻田化学除草试验

直播稻田用不同药剂在播种后各一次化除或播种后两次化除都具有很好的除草效果。播后前期是化学除草的关键时期播后前期每６６７米＾２用１０％苄嘧黄隆１５克＋６０％丁划胺６０毫升，１０％苄嘧黄隆１５克＋５０％杀草丹１５０毫升，１７．２％新幼禾葆２４０克或１５．８％幼禾葆２００克防铲均较好。     

焦炉集气管压力专家协调控制

针对压力对象相互耦合的实际特点，提出了基于专家系统的集成管压力协调控制方法，使系统在PID控制的基础上，按实际运行状况智能选择控制策略。     

工程造价管理改革刍议

工程造价管理改革就是改革现行的定额、费率和价格，定额从指令性变为参考性，费率自主确定，价格市场化；推行监理制，采用FIDIC的合同管理方法和工程量表的做法。     

城市径流总量控制指标分解及实现路径探索与实践

针对海绵城市径流总量控制目标,提出一种在城市规划体系中控制性详细规划和修建性详细规划阶段分解落实年径流总量控制率的方法。在控制性详细规划阶段分解径流总量控制指标时,分步骤先后确定各项低影响开发措施的面积率和下沉深度;在修建性详细规划阶段,配合径流总量控制指标分解结果,给出适宜的各项低影响开发措施的技术实施导则,以保证各单项指标的正确实施,并以某项目为例介绍了技术实施导则的构建方法。     

河长制中的河流岸线规划与管理

根据河流城镇区域岸线和乡村区域岸线的特点,针对河岸纵向、横向、功能区划以及主体工程的要求,分别提出了各自规划的具体要求和方法,并详述了岸线评价方法,提出了岸线管控的具体建议,为河长制中的岸线开发、保护提供参考。     

PTA生产中浆料浓度的先进控制

在PTA生产过程中,TA浆料浓度是一个极其重要的工艺变量,该变量控制的好坏直接影响最终产品的产量和质量。首先分析了浆料浓度的特性,然后根据其特性提出了非线性补偿+预测控制的先进控制策略。实际应用表明,这一控制策略可以显著减少浆料浓度波动、提高装置处理能力。     

原料均化库布料小车控制系统的电气改进

广东南华水泥有限公司原煤均化库因生产需要进行了改造，相应地，原煤均化库布料小车的电气控制回路也进行了改造。在改造过程中，该厂充分利用原控制电路和改进后的电路元器件，只增加了若干干簧管和控制开关，稍作改动便达到了控制目的，既科学可靠，又经济实用。