An Apoptotic Body-based Vehicle with Navigation for Photothermal-Immunotherapy by Precise Delivery and Tumor Microenvironment Regulation

Tumor precision therapy and preventing tumor recurrence and metastasis are the main challenges to tumor eradication. Herein, an apoptotic body-based vehicle with imaging navigation is developed for precise tumor delivery and photothermal-immunotherapy by IR820-conjugated apoptotic body loaded with R848 nanoparticles. The apoptotic body serves as ammunition stores as well as vehicle drive engines, while IR820 acts as a fluorescence imaging navigation and photothermal controlling system. The apoptotic body vehicle can deliver the ammunition to tumor and achieve deep penetration by macrophage-hitchhiking. Fluorescence imaging navigation opens a control window for photothermal treatment, followed by photothermal triggering of in situ vaccine formation. Further, CD47 antibody loaded hydrogel strengthens innate and adaptive immunity, simultaneously the polarization of macrophages regulates the immunosuppressive microenvironment to further promote the combined antitumor immunotherapy. With breast tumor (4T1)-bearing mice model, the apoptotic body vehicle performs excellent therapeutic efficacy for primary tumor, distant tumor, tumor metastasis, and recurrence prevention.     

5G 功放DPD 的FPGA 宽带实现及自动优化

5G 宽带功放数字预失真器(DPD)的FPGA 实现过程中,常遇到数字处理带宽不够和资源有限问题,对 此,文中提出一种基于双路并行数据流的数字预失真带宽扩展方法和基于Zynq Ultrascale+ MPSoC 的自动化模型优化 验证方法,可快速实现对5G 宽带功放线性化方案的优化。使用该并行处理结构的数字预失真器,克服了数字电路最 大时钟频率造成的对FPGA 线性化带宽的限制,使得数字预失真电路在每个时钟周期内可以处理更多的数据,不仅有 效地增加了数字处理带宽,而且降低了DPD 的功耗。然而,这种带宽增加以消耗更多硬件资源为代价,对此,文中同时 提出了对预失真非线性模型的在线自动优化方法,以简化非线性模型、降低DPD 的硬件资源开销。最后,在Zynq Ultrascale+ FPGA 实验平台上实现了具有两路并行数据处理的I-MSA 自优化数字预失真电路,采用100 MHz 的5G 新无 线电(NR)信号在2. 6 GHz 功率放大器上进行线性化实验验证,获得了满意的预失真性能,验证了所提方法的有效性。     

A nonlinear geometric approach to power system excitation control and stabilization

In this paper, a unified approach to the design of a nonlinear excitation controller/power system stabilizer for a synchronous generator/infinite bus power system is presented. The approach is based on a form of state feedback linearization, known as input–output feedback linearization, which provides an exact semi-global state transformation that is valid for a large class of operating points of the power system. With this transformation, the terminal voltage becomes a linear function of the control input. The excitation controller/power system stabilizer is then synthesized by using linear controller design techniques. The controller is proven to provide small signal stability and to provide local asymptotic tracking of admissible constant reference signals for a large class of operating points. A procedure is given to tune the controller gains to provide significant damping of the power angle oscillations.     

基于最大反馈线性化的两轮机器人平衡控制

为了对两轮直立式机器人进行平衡控制研究,首先应用一种拉格朗日方法对两轮直立式机器人系统进行动力学建模,以力矩作为模型控制输入并且考虑到了系统无滑动的非完整约束方程.求出了系统的最大相对阶并对非线性系统进行了部分反馈线性化,经过坐标变换和输出反馈得到了2个由两链积分器构成的子系统,外加3个代表系统内动态的非线性方程.根据...     

Robust adaptive control for greenhouse climate using neural networks

This paper presents a general framework for robust adaptive neural network (NN)‐based feedback linearization controller design for greenhouse climate system. The controller is based on the well‐known feedback linearization, combined with radial basis functions NNs, which allows the feedback linearization technique to be used in an adaptive way. In addition, a robust sliding mode control is incorporated to deal with the bounded disturbances and the approximation errors of NNs. As a result, an inherently nonlinear robust adaptive control law is obtained, which not only provides fast and accurate tracking of varying set‐points, but also guarantees asymptotic tracking even if there are inherent approximation errors. Copyright © 2010 John Wiley & Sons, Ltd.     

空间电磁对接控制问题

航天器空间电磁对接能避免诸如推进剂消耗、羽流污染和对接冲击等现有基于推力器对接所固有的缺陷,应用前景广阔.空间电磁对接控制目前国内外还没有有效研究,论文主要针对此问题开展初步研究工作.论文首先重点分析空间电磁对接特性及其主要控制问题,然后采用反馈线性化方法对地面二维电磁对接控制模型进行线性化处理、以及基于线性化模型应用Kalman滤波方法估计电磁对接运动状态,最后采用二阶稳定性方法设计控制律并进行仿真分析.理论研究和仿真分析表明:航天器空间电磁对接是可行的,电磁对接非线性模型可以采用反馈线性化方法实现精确线性化,基于线性化模型的二阶稳定性方法满足控制律设计要求.     

Welding current and arc voltage control in a GMAW process using ARMarkov based MPC

A predictive functional controller based on ARMarkov model structure has been designed to control welding current and arc voltage in a GMAW process. The closed loop system performance is investigated through computer simulations and is compared by those achieved from implementing two commonly used controllers i.e. PI and feedback linearization based PID. The local stability of the closed loop system is analyzed in the presence of uncertainties in the linearized model of the process as well as the control parameters. Finally it is shown that the proposed controller performs like a PI controller along with a pre-filter compensator.     

Robust adaptive fuzzy logic power system stabilizer

This paper introduces a robust adaptive fuzzy controller as a power system stabilizer (RFPSS) used to damp inter-area modes of oscillation following disturbances in power systems. In contrast to the IEEE standard multi-band power system stabilizer (MB-PSS), robust adaptive fuzzy-based stabilizers are more efficient because they cope with oscillations at different operating points. The proposed controller adopts a dynamic inversion approach. Since feedback linearization is practically imperfect, components that ensure robust and adaptive performance are included in the control law to compensate for modelling errors and achieve acceptable tracking errors. Two fuzzy systems are implemented. The first system models the nominal values of the system’s nonlinearities. The second system is an adaptive one that compensates for modelling errors. A feedback linearization-based control law is implemented using the identified model. The gains of the controller are tuned via a particle swarm optimization routine to ensure system stability and minimum sum of the squares of the speed deviations. A bench-mark problem of a 4-machine 2-area power system is used to demonstrate the performance of the proposed controller and to show its superiority over other conventional stabilizers used in the literature.     

反馈线性化在液压型风力发电机组功率追踪中的应用

以液压型风力发电机组为研究对象,为使功率追踪的过程平稳,研究机组的最佳功率追踪控制方法.本文利用反馈线性化方法解决系统非线性问题,以液压系统压力为控制输出,设计最佳功率追踪控制器,并提出一种反馈线性化方法的工程应用解决方案,即结合传统PID控制解决反馈线性化工程应用中依赖模型参数精度的问题.依托30 k VA液压型风力发电机组半物理仿真实验台进行仿真和实验研究,验证了该方法的可行性,为机组进一步研究奠定理论与实验基础.     

异步电机反馈线性化二阶滑模定子磁链观测器设计

为了提高异步电机定子磁链的观测精度,提出了基于反馈线性化的二阶滑模磁链观测方法,设计了定子磁链观测器,并应用到异步电机直接转矩控制中.为更准确的观测磁链,选取转子磁链为系统输出,运用微分几何理论将异步电机系统的输入/输出线性化,得到以转子磁链为输出的异步电机反馈线性化模型.在此基础上设计基于Super-twisting算法的二阶滑模转子磁链观测器,实现对转子磁链的准确估算,并对所设计的观测器进行稳定性分析.然后再利用转子磁链与定子磁链的关系,估算出定子磁链.将该观测器用于异步电机直接转矩控制中,达到了很好的控制效果.仿真与实验结果验证了该方法的可行性和有效性.