Finite-Time H∞ Control of Switched Nonlinear Systems under State-Dependent Switching

This paper investigates the finite-time H∞ control problem of switched nonlinear systems via state-dependent switching and state feedback control. Unlike the existing approach based on time-dependent switching strategy, in which the switching instants must be given in advance, the state-dependent switching strategy is used to design switching signals. Based on multiple Lyapunov-like functions method, several criteria for switched nonlinear systems to be finite-time H∞ control are derived. Finally, a numerical example with simulation results is provided to show the validity of the conclusions.

Discontinuous event-trigger scheme for global stabilization of state-dependent switching neural networks with communication delay

This paper is concerned with the global stabilization of state-dependent switching neural networks(SDSNNs)viadiscontinuous event-triggered control with network-induced communication delay.Aiming at decreasing triggering times,a discontinuous event-trigger scheme is utilized to determine whether the sampling information is required to be sent outor not.Meanwhile,under the effect of communication delay,the trigger condition and SDSNNs are transformed into twotractable models by designing a fictitious delay function.Then,using the Lyapunov–Krasovskii stability theory,someinequality estimation techniques,and extended reciprocally convex combination method,two sufficient criteria are established for ensuring the global stabilization of the resulting closed-loop SDSNNs,respectively.A unified framework isderived that has the ability to handle the simultaneous existence of the communication delay,the properties of discontinuousevent-trigger scheme,as well as feedback controller design.Additionally,the developed results demonstrate a quantitativerelationship among the event trigger parameter,communication delay,and triggering times.Finally,two numerical examples are presented to illustrate the usefulness of the developed stabilization scheme.

Mode switching control strategy of dual motors coupled driving on electric vehicles

Based on analyzing the structure and working principle on electric vehicles （EVs） with dual motors coupled by planetarY gears, the control strategy of mode switching was proposed. The power interruption problem on EVs with automatic mechanical transmission （AMT） shifting was resolved. Based on the speed-torque characteristics of the planetary gears and the principle of the auxiliary motor＇ s zero speed braking, control features of mode switching were introduced. The mode shifting between the main motor mode and dual motors coupled driving were studied. Matlab/Simulink was adopted as a platform to develop the simulation model of EVs with dual motors drive system and 3 gears AMT. Simulation results demonstrated that the power interruption of dual motors drive system was solved during mode switching. The power requirements of EVs were satisfied, too.

A Security Enhancement Model Based on Switching Edge Strategy in Interdependent Heterogeneous Cyber-Physical Systems

With the advent of cross-domain interconnection,large-scale sensor network systems such as smart grids,smart homes,and intelligent transportation have emerged.These complex network systems often have a CPS(Cyber-Physical System)architecture and are usually composed of multiple interdependent systems.Minimal faults between interdependent networks may cause serious cascading failures between the entire system.Therefore,in this paper,we will explore the robustness detection schemes for interdependent networks.Firstly,by calculating the largest giant connected component in the entire system,the security of interdependent network systems under different attack models is analyzed.Secondly,a comparative analysis of the cascade failure mechanism between interdependent networks under the edge enhancement strategy is carried out.Finally,the simulation results verify the impact of system reliability under different handover edge strategies and show how to choose a better handover strategy to enhance its robustness.The further research work in this paper can also help design how to reduce the interdependence between systems,thereby further optimizing the interdependent network system’s structure to provide practical support for reducing the cascading failures.In the later work,we hope to explore our proposed strategies in the network model of real-world or close to real networks.

Study on Optimizing of Ball Passing Strategy and Role Switching Mechanism for Robot Soccer

A new ball passing strategy for robot soccer is proposed in this paper. With introduce of a new algorithm on ball passing, the optimum strategy is confirmed to be more efficient and exact when passing a ball. Questions of role switching in multi-intelligent agent cooperation in robot soccer are described based on Generalized Stochastic Petri-Net （GSPN）. Results of computer simulation have confirmed the feasibility and efficiency of above Petri-net method.

Robust Feedback Set Stabilization of Logic Networks with State-Dependent Uncertain Switching and Control Constraints

This study investigates the robust feedback set stabilization of switched logic control networks(SLCNs)with state-dependent uncertain switching and control constraints.First,based on the properties of the semi-tensor product of matrices and the vector representation of logic,an SLCN with state-dependent uncertain switching and control constraints is expressed in algebraic form.Second,an input transformation and a switching model are constructed to transfer the original SLCN into one with a free control input and arbitrary switching.The equivalence between the set stabilizability of the original SLCN and that of the resulting SLCN is established.Based on such equivalence,the authors propose a necessary and sufficient condition for robust feedback set stabilizability.Finally,an example is presented to demonstrate the application of the results obtained.

Switching variability index based multiple strategy CFAR detector

A switching variability index （SVl） constant false alarm rate （CFAR） detector is proposed for improving the detection performance of VI-CFAR detectors in multiple targets backgrounds. When the presence of non-homogeneity in CFAR reference windows is indicated by a VI-CFAR detector, a switching- CFAR detector is introduced to optimize the performance of the VI-CFAR detector in homogeneous, multiple targets and clutter edge backgrounds. The structure and parameters selection method of the SVI-CFAR detector is presented. Comparisons with classic CFAR detectors and recently proposed detectors are also given. Theoretical analysis and simulation results show that SVICFAR detector maintains the good performance of the VI-CFAR detector in homogeneous and clutter edge backgrounds, while greatly improving the capacity of anti-multi targets.

Closed-Form Absolute Ruin Problems of the Risk Models with State-Dependent Switched Claims

This letter mainly investigates a general risk model with the threshold dividend strategy under assumption that the claim amounts obey a state-dependent switched exponential distribution. By establishing the differential-integral equations for the Gerber-Shiu discounted penalty function, and applying the hypergeometric functions, the closed-form absolute ruin probability is derived.

Goal Achieving Probabilities of Mean-Variance Strategies in a Market with Regime-Switching Volatility

In this paper, we establish properties for the switch-when-safe mean-variance strategies in the context of a Black-Scholes market model with stochastic volatility processes driven by a continuous-time Markov chain with a finite number of states. More precisely, expressions for the goal-achieving probabilities of the terminal wealth are obtained and numerical comparisons of lower bounds for these probabilities are shown for various market parameters. We conclude with asymptotic results when the Markovian changes in the volatility parameters appear with either higher or lower frequencies.

智能车横向跟踪控制模式切换策略及评价方法

针对智能车横向跟踪控制算法传统切换策略中模型匹配策略总是处于激活状态,占用计算资源和运动平顺性变差的问题,设计了一种基于最小二乘支持向量机(least squares support vector machine,LSSVM)的控制模式切换策略,在不同工况下根据误差判断策略切换控制模式.从安全性、舒适性和跟踪精度3个方面构建控制效果评估函数,并根据多目标优化数学模型实时执行系统最优控制量.仿真试验结果表明:该切换策略能够保证智能车在不同工况下具有优秀的横向跟踪性能,路径跟踪偏差范围为±0.1 m,横摆角速度波动范围为±2(°)/s,jerk值的范围为±10 m/s^(3),与传统的单一控制算法相比,具有更好的跟踪精度、稳定性和舒适性.

适用于中点箝位型三电平逆变器的多目标调制策略

为同时实现中点箝位型三电平逆变器的中点电压平衡和共模电压降低,分别分析了基于载波脉宽调制(CBPWM)和基于虚拟空间矢量脉宽调制(VSVPWM)的中点电压平衡和共模电压降低方法。基于CBPWM提出一种可以降低共模电压的载波脉宽调制(RCMV_CBPWM)策略,可将大多数工作区域的共模电压限制在直流侧电压的1/6以内。为了实现上述2个目标,同时不过分增加开关损耗,在RCMV_CBPWM基础上提出了一种多目标调制(MOPWM)策略,在全调制度和全负载功率因数范围内,共模电压可限制在直流侧电压的1/6以内并实现中点电压平衡,且其开关损耗低于VSVPWM。比较了MOPWM、RCMV_CBPWM和VSVPWM在中点电压控制、共模电压降低和开关损耗降低方面的性能。实验结果验证了MOPWM的可行性和优越性。

具有低开关频率的感应电机无传感器控制

着眼于传统低开关频率控制方法对无感磁链观测带来不利影响的问题,提出了一种具有低开关频率的感应电机无传感器控制方法.使用速度自适应滑模观测器与预测控制方法相结合,构成感应电机无传感器预测控制系统.其可以在较高采样频率下,有效降低开关频率,并保证系统具有较高的动态特性.同时,滑模思想的引入使观测器具有较强的鲁棒性.实验结果表明,所提出的低开关频率无传感器控制策略具有较高的控制精度和较强的抗干扰性能,研究的自适应滑模观测器在稳态和动态实验中均具有良好的观测精度,其中电流环响应时间可以达到1.52 ms,可以实现75 r·min^(–1)及以上转速范围内的稳定观测及运行,且系统最高平均开关频率保持在500 Hz上下,为较低的水平.

基于双向半桥LLC谐振变换器的退役电池组均衡方法

退役电池在储能应用过程中,由于其较大的不一致性问题会导致退役电池组出现过充或过放现象,从而限制电池组整体的容量甚至引起热失控,造成安全隐患。针对以上问题,设计一种基于双向半桥LLC谐振变换器的有源均衡电路。该均衡电路通过开关阵列与隔离型双向半桥LLC谐振变换器的相互配合,能够实现单体电池与电池组整体之间的能量传递,使退役电池组中各单体电池达到能量平衡。另外,为进一步提高均衡器的均衡速度及精度,提出一种联合电压与荷电状态(SOC)共同作为均衡变量的多状态均衡控制策略。依据电池组当前不同的能量状态,在电池组静置、充电及放电3种不同状态下,分别采用不同的均衡变量以及对应的均衡策略,从而实现电池组的快速均衡。最后,通过搭建小型的均衡实验样机对6节串联电池进行均衡实验,实验结果表明,所提均衡方法具有较快的均衡速度及较好的均衡效果。

特高压直流输电工程中性母线开关故障处理策略优化

特高压直流输电工程采用双极共用接地极设计,一个极故障闭锁后需通过极隔离操作实现故障极与运行极的隔离。极隔离操作过程中,如果极中性母线开关发生故障无法分开导致极隔离中断,需配置极中性母线开关故障处理策略继续完成极隔离。根据不同直流故障时对应的工况,分析了中性母线开关故障处理策略存在的不足,基于故障特性优化了故障处理策略,最后通过RTDS仿真试验验证了策略优化的有效性。

Optimal Reinsurance and Investment Strategies for Insurers with Regime-Switching and State-Dependent Utility Function

This paper considers a proportional reinsurance-investment problem and an excess-of-loss reinsurance-investment problem for an insurer,where price processes of the risky assets and wealth process of the insurer are both described by Markovian regime switching.The target of the insurer is assumed to maximize the expected exponential utility from her terminal wealth with a state-dependent utility function.By employing the dynamic programming approach,the optimal value functions and the optimal reinsurance-investment strategies are derived.In addition,the impact of some parameters on the optimal strategies and the optimal value functions is analyzed,and lots of interesting results are discovered,such as the conclusion that excess-of-loss reinsurance is better than proportional reinsurance is not held in the regime-switching jump-diffusion model.

伺服系统状态反馈切换控制策略研究

针对伺服系统参数的不确定性问题,提出一种以速度为切换信号的切换控制策略。利用伺服电机离线数据得到非线性Bode图,根据频域特性变化区间划分系统速度区域;以速度指标作为切换条件,在模拟退火算法中引入平坦性计算,对各子系统进行参数辨识,构建伺服系统的切换模型,并解决了切换系统出现的抖振问题;最后,在给定切换条件下,设计切换模型各子系统控制器,形成基于状态观测器的反馈控制策略,保证闭环切换系统的渐近稳定性。结果表明:所提控制策略优化了系统的响应曲线,其跟踪精度提升了约4%。

基于切换策略的车辆质心侧偏角高性能获取

现有的基于融合策略的车辆质心侧偏角(vehicle sideslip angle,VSA)获取方法需要针对不同的场景、结构或信号进行优化和改进,计算复杂度和系统成本也随之增加。本文提出一种基于切换策略的VSA软测量方法。在传感器量测信号预处理部分,利用贝塞尔滤波器对侧向加速度信号进行时延处理和噪声滤除,设计可靠性检验模块对横摆角速度等信号中的突变实现有效清除。在此基础上,根据现有运动学和动力学方案的优势确定切换策略,尽量缩短运动学方案的连续工作区间以抑制其误差累积,同时将动力学方案限制在线性区工作以避免其性能下降,并在多个工况下进行仿真和硬件在环试验,以验证所提出的VSA获取方法的效果。试验结果表明,相较于采用典型的融合策略的对比方法,本文提出的方法在精度和运行时间方面都具有明显的优势,且二者对路况的变化均具有较强的鲁棒性。

考虑最少线路切换数量的电压稳定性增强优化方法

为提升电力系统的电压稳定性,提出一种基于输电线路切换的电压稳定性增强控制模型,该模型以最少的切换输电线路数量为目标来满足电力系统负荷裕度的提升需求。为灵活构建线路切换数学模型,提出基于支路追加法将线路切换融入原问题模型中。为降低模型求解难度,提出一种阶段式求解策略:基于负荷裕度对线路参数的灵敏度快速预筛选出可以提高系统负荷裕度的候选切换集,降低0-1整数变量的搜索范围;基于外逼近和松弛策略将原问题分解为2个子问题进行迭代求解,进一步提高模型的求解速度和精度。IEEE118节点和IEEE662节点系统仿真结果验证了所提模型与方法的有效性。

一种基于新型低功耗开关策略的10 bit 120 MS/s SAR ADC

设计了一种10 bit 120 MS/s高速低功耗逐次逼近模数转换器(SAR ADC)。针对功耗占比最大的CDAC模块,基于电容分裂技术并结合C-2C结构,提出了一种输出共模保持不变的双电平高能效开关控制策略;在降低CDAC开关功耗的同时,摆脱了CDAC开关过程中对中间共模电平的依赖,使得该结构适用于低电压工艺。在速度提升方面,控制逻辑使用异步逻辑进行加速;比较器采用一种全动态高速结构,在保证精度的前提下其工作频率达到3 GHz;CDAC中插入冗余位,以降低高位电容对充电时间的要求。所设计的SAR ADC使用40 nm CMOS工艺实现,采用1.1 V低电压供电。在不同工艺角下进行性能仿真,结果显示,在120 MHz采样率下,有效位数为9.86 bit,无杂散动态范围为72 dB,功耗为2.1 mW,优值为18.9 fJ/(conv·step)。