Lag Synchronization in Nonlinear Systems Based on Adaptive Control

Active control is an effective method for synchronizing two identical chaotic systems. However, this method works only for a certain class of chaotic systems with known parameters. An improvement method was proposed in order to overcome this limitation in this paper. A classical example was used to demonstrate the method. Finally, numerical examples were given to validate the efficiency of the method.

Boundary Control Problem of Infinite Order Distributed Hyperbolic Systems Involving Time Lags

Various optimal boundary control problems for linear infinite order distributed hyperbolic systems involving constant time lags are considered. Constraints on controls are imposed. Necessary and sufficient optimality conditions for the Neumann problem with the quadratic performance functional are derived.

Robust lag synchronization between two different chaotic systems via dual-stage impulsive control

In this paper, an improved impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. Based on the new definition of synchronization with error bound and a novel impulsive control scheme （the so-called dual-stage impulsive control）, some new and less conservative sufficient conditions are established to guarantee that the error dynamics can converge to a predetermined level, which is more reasonable and rigorous than the existing results. In particular, some simpler and more convenient conditions are derived by taking the same impulsive distances and control gains. Finally, some numerical simulations for the Lorenz system and the Chen system are given to demonstrate the effectiveness and feasibility of the proposed method.

An improved impulsive control approach to robust lag synchronization between two different chaotic systems

In this paper, a novel robust impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. Based on the theory of impulsive functional differential equations and a new differential inequality, some new and less conservative sufficient conditions are established to guarantee that the error dynamics can converge to a predetermined region. Finally, some numerical simulations for the Lorenz system and Chen system are given to demonstrate the effectiveness and feasibility of the proposed method. Compared with the existing results based on so-called dual-stage impulsive control, the derived results reduce the complexity of impulsive controller, moreover, a larger stable region can be obtained under the same parameters, which can be shown in the numerical simulations finally.

Successive lag cluster consensus on multi-agent systems via delay-dependent impulsive control

We introduce a new consensus pattern, named a successive lag cluster consensus(SLCC), which is a generalized pattern of successive lag consensus(SLC). By applying delay-dependent impulsive control, the SLCC of first-order and second-order multi-agent systems is discussed. Furthermore, based on graph theory and stability theory, some sufficient conditions for the stability of SLCC on multi-agent systems are obtained. Finally, several numerical examples are given to verify the correctness of our theoretical results.

环境补贴能提升企业碳绩效吗--基于A股上市公司实证分析

环境补贴既是国家实现“双碳”目标的宏观调控手段,也是减轻企业环保负担、引导企业节能减排的推动力。选取2014~2019年接受环境补贴的1094家A股上市公司3735个观测值作为研究样本,采用双向固定效应模型,实证探究环境补贴对企业碳绩效的影响。研究表明,环境补贴与企业碳绩效显著正相关且具有滞后性特征,异质性检验发现,成立时间长的企业、国有企业、东部地区与中低污染企业环境补贴作用效果显著;进一步研究发现,环境补贴中的节能减排补贴与企业碳绩效显著正相关,环境治理补贴对企业碳绩效起负向作用。据此,提出环境补贴应以降碳为重点、减污降碳协同增效为目的等建议。

基于非周期间歇控制的惯性神经网络同步/滞后同步

主要研究了惯性神经网络在非周期间歇控制下的同步/滞后同步问题.基于非降阶方法,利用Lyapunov方法、微分不等式技巧等,得出了在非周期间歇控制下惯性神经网络同步/滞后同步的充分判据,这种方法在实际应用中更具有可行性.最后,通过数值仿真验证理论结果的可行性.

提升重型车辆起步性能协调控制策略

针对重型车辆起步响应性差的问题,根据车辆动力传动系统结构,基于GT-SUITE软件建立废气涡轮增压柴油发动机以及控制系统的仿真模型,并基于台架试验对仿真模型进行了校核,保证动力传动系统模型具有较高的仿真精度。通过仿真探究冒烟极限限制、液力变矩器耦合工作点对起步加速性能的影响规律,明确发动机和液力变矩器耦合特性对提升车辆起步性能的作用机理,以提升车辆0~32 km/h加速性能为目标,制定车辆起步协调控制策略,并基于搭建的动力传动系统仿真模型对提出的协调控制策略进行仿真验证。研究结果表明:采用提出的协调控制策略车辆从0 km/h加速到32 km/h的弹射起步时间为9.8 s,而常规起步车辆从0 km/h加速到32 km/h的时间为14 s,新提出的协调控制策略对提升重型车辆的起步加速性能具有显著的效果。

永磁伺服系统转速跟踪控制与数据驱动的参数设计方法

在永磁伺服控制系统中,传统的转速控制策略在低频段存在幅值与相位偏差问题,降低了转速跟踪控制精度。为解决该问题,该文提出了一种高精度的转速跟踪控制策略与数据驱动的参数设计方法。主要思路是在转速控制环节串联一个滞后-超前补偿器,用以校正低频段的幅值与相位;以低频段补偿后的幅值及相位误差最小为优化目标,同时约束补偿器在全频带范围内的最大幅值增益和相移,设计了一种数据驱动的补偿器参数优化方法,并对补偿后控制系统的性能进行了分析评估。实验结果表明,基于实验数据所设计的补偿器在转速指令频率小于1 rad/s的低频段区间内,转速跟踪误差小于2 r/min,相较于传统方法控制精度显著提升;在跟踪转速阶跃指令时,该文方法和传统方法的控制效果相当,这说明该文方法在改善低频段跟踪性能的同时,保持了控制系统在中高频段原有的幅频和相频特性。

基于DCS系统的聚全氟乙丙烯聚合反应温度控制

为稳定控制聚全氟乙丙烯聚合反应温度,文章采用杭州和利时自动化有限公司生产的MACS V6.5.4正式版DCS控制系统,要求实现一键聚合功能,聚合反应温度控制指标为100±1℃。在控制过程中聚合温度存在大滞后、循环水压力波动大、温度变化较大、单体流量变化频繁等难点。该控制方案在不改变原有工艺条件及设备的前提下,通过模糊PID控制手段,实现了聚合反应温度控制的控制指标。

BP神经网络在垃圾焚烧电厂酸性气体排放控制中的应用

对于采用半干法的大多数垃圾焚烧发电厂,控制酸性气体排放浓度的主要手段是调节脱酸塔入口石灰浆流量。传统的PID控制采用CEMS实测数据作为反馈信号调节石灰浆流量,但脱酸塔入口到烟囱烟气采样点距离远,反应时间长,控制效果不佳。为此,引入BP人工神经网络遗传算法,并利用人工控制模式下积累的大量过程数据训练人工神经网络,以替代人工控制。

注意瞬脱中Lag-1节省现象的加工机制

Lag-1节省现象强调短时注意加工的持续性进程。解释Lag-1节省现象的主要理论包括关门延缓假设、两阶段竞争理论、暂时性失控理论和推动反弹理论。关门延缓假设和暂时性失控理论分别强调Lag-1节省现象产生的时间决定因素与位置决定因素;关门延缓假设和两阶段竞争模型强调资源有限性,暂时性失控理论和推动反弹理论则关注调注意控制的作用。这些理论均强调注意资源或注意控制系统对目标刺激加工选择的重要性。未来研究可更多关注与注意转换机制等方面的结合。

一种提高数字控制LCL型并网逆变器对电网阻抗鲁棒性的补偿策略

与模拟控制相比,采用数字控制的LCL型并网逆变器会引入控制延迟,在电网阻抗变化较大的弱电网中,严重降低了系统的稳定性。为了提高数字控制的LCL型并网逆变器对电网阻抗变化的鲁棒性,提出一种比例-相位滞后的补偿策略。首先,在考虑控制延时的基础上,对电网阻抗宽变化范围内的系统进行稳定性分析;然后基于Nyquist稳定性判据识别稳定区域,并合理设计比例和相位滞后补偿器的参数,使改进后的系统在电网阻抗宽变化范围时仍能够稳定运行。最后,仿真与半实物实验结果验证了所提方法的可行性和有效性。

A practical approach to robust impulsive lag synchronization between different chaotic systems

In this paper, a practical impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. By virtue of the new definition of synchronization and the theory of impulsive differential equations, some new and less conservative sufficient conditions are established to guarantee that the error dynamics can converge to a predetermined level. The idea and approach developed in this paper can provide a more practical framework for the synchronization between identical and different chaotic systems in parameter perturbation circumstances. Simulation results finally demonstrate the effectiveness of the method.

基于深度强化学习改进的Smith预估器温度控制

针对牛粪发酵过程具有惯性大、时滞性、参数变化非线性的特点,提出了一种基于深度确定性策略梯度(DDPG)改进Smith模糊PID控制器的温度控制方法。首先,针对传统模糊PID不能对时滞系统有效控制的问题,建立Smith预估模糊PID控制器。其次,使用DDPG算法改进温度控制器,对设计的智能体进行离线训练。最后,通过仿真对所设计控制器进行实验验证。实验结果表明:DDPG改进的Smith模糊PID控制器能有效消除时滞对温度控制的影响,减少超调量和误差,且能避免被控对象参数随时间变化产生动态偏离时造成的系统不稳定。

Real-time quality control of data from Sea-Wing underwater glider installed with Glider Payload CTD sensor

Profiles observed by Sea-Wing underwater gliders are widely applied in scientific research. However, the quality control(QC) of these data has received little attention. The mismatch between the temperature probe and conductivity cell response times generates erroneous salinities, especially across a strong thermocline. A sensor drift may occur owing to biofouling and biocide leakage into the conductivity cell when a glider has operated for several months. It is therefore critical to design a mature real-time QC procedure and develop a toolbox for the QC of Sea-Wing glider data. On the basis of temperature and salinity profiles observed by several Sea-Wing gliders each installed with a Sea-Bird Glider Payload CTD sensor, a real-time QC method including a thermal lag correction, Argo-equivalent real-time QC tests, and a simple post-processing procedure is proposed. The method can also be adopted for Petrel gliders.

Adaptive generalized matrix projective lag synchronization between two different complex networks with non-identical nodes and different dimensions

The adaptive generalized matrix projective lag synchronization between two different complex networks with non-identical nodes and different dimensions is investigated in this paper. Based on Lyapunov stability theory and Barbalat＇s lemma, generalized matrix projective lag synchronization criteria are derived by using the adaptive control method. Furthermore, each network can be undirected or directed, connected or disconnected, and nodes in either network may have identical or different dynamics. The proposed strategy is applicable to almost all kinds of complex networks. In addition, numerical simulation results are presented to illustrate the effectiveness of this method, showing that the synchronization speed is sensitively influenced by the adaptive law strength, the network size, and the network topological structure.

Successive lag synchronization on dynamical networks with communication delay

In this paper, successive lag synchronization （SLS） on a dynamical network with communication delay is investigated. In order to achieve SLS on the dynamical network with communication delay, we design linear feedback control and adaptive control, respectively. By using the Lyapunov function method, we obtain some sufficient conditions for global stability of SLS. To verify these results, some numerical examples are further presented. This work may find potential applications in consensus of multi-agent systems.

洁净空调冷水阀门一阶惯性滞后PID独立控制方法

冷水阀门一阶惯性控制偏差项造成洁净空调温湿度控制效果较差。为此,提出洁净空调冷水阀门一阶惯性滞后PID独立控制方法。该方法在考虑室内环境基本信息的条件下,建立环境与冷水阀的一阶惯性滞后模型;计算室内洁净空调温湿度新风量,将其作为洁净空调冷水阀门的温湿度独立控制的约束;利用自适应免疫遗传算法优化PID控制器参数,以此为依据实现洁净空调冷水阀门温湿度的独立控制。实验结果表明,该方法控制效果较好、节能率较高。

Different Types of Projective Synchronization in a Class of Time-Delayed Chaotic Systems Using Active Control Approach

我们学习射影的同步的不同类型(射影期望，射影，并且射影落后同步) 在与光双稳态或混合的光双稳态的设备有关的推迟时间的混乱系统的一个班上。我们放松以前的工作的一些限制，在可伸缩的因素不能是任何需要的价值的地方。在这份报纸，我们完成射影期望，射影，并且没有限制的射影落后同步。一个合适的控制器用活跃控制途径被选择。基于 Lyapunov 稳定性理论，我们通过理论分析导出足够的稳定性条件。分析结果被数字模拟用 Ikeda 模型和 MackeyGlass 模型验证。