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 E...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.展开更多
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-Physi...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.展开更多
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. Question...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.展开更多
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-homo...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.展开更多
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 wit...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.展开更多
This paper proposes a control strategy focused on the terminal interception of a multiple-pursuer/multipleevader spacecraft pursuit–evasion game.The strategy dynamically switches the capture target for pursuers based...This paper proposes a control strategy focused on the terminal interception of a multiple-pursuer/multipleevader spacecraft pursuit–evasion game.The strategy dynamically switches the capture target for pursuers based on the real-time state of the spacecraft.Firstly,the analytic hierarchy process is used to quantify the state of the pursuers and evaders as a weight matrix.This allows for the allocation of spacecraft to be transformed into the optimal matching of the weighted bipartite graph.Subsequently,the Kuhn–Munkres algorithm is used to search for the optimal matching.Then,the linear quadratic differential game model is used to solve the optimal control strategy of multiple-on-one problems.Finally,the effects of switching control strategies are given by numerical simulations.The results indicate that cooperative guidance leads to better performance of interception,and switching targets helps shorten the terminal distance and increase the success rate.展开更多
This paper explores the adaptive exponentially designated-time stabilization issue via event-triggered feedback for a kind of uncertain high-order nonlinear systems.The motivation mainly comes from the following two c...This paper explores the adaptive exponentially designated-time stabilization issue via event-triggered feedback for a kind of uncertain high-order nonlinear systems.The motivation mainly comes from the following two challenges:the undesired singularity problem arising from infinite control gains at the prescribed-time instant,the effective trade-off between the control amplitude and the triggering duration.The goal is to build an event-triggered mechanism comprising a skillful triggered rule alongside a time-dependent threshold.Utilizing the designed control strategy,the solutions'existence and the prevention of Zeno phenomenon are successfully guaranteed by using a new transformation equipped with a time-varying function and redesigning the continuous state-feedback dominance approach with an array of integral functions involving embedded sign functions.Better than existing prescribed-time methods,our approach not only ensures that state variables converge to a small compact set before a designated time and stay there henceforth,and converge to the origin exponentially,but also ensures that the controller continuously works on the whole-time horizon.Two illustrative examples are given to show the effectiveness of the devised scheme.展开更多
The paper explores the effects of media influence and limited medical resources on the spread of infectious diseases using mathematical modeling.We construct a switching epidemic model that incorporates a media influe...The paper explores the effects of media influence and limited medical resources on the spread of infectious diseases using mathematical modeling.We construct a switching epidemic model that incorporates a media influence factor,an inoculation function,and a cure function.This model is subsequently discretized and studied via Euler's method.The number of susceptible individuals serves as the switching threshold,determining when media influence and healthcare resources intervene.By conducting an in-depth analysis of the equilibria of two subsystems,we have not only demonstrated the existence and stability conditions of the equilibria but also proposed the flip bifurcation theory for S_(G1).Through single-parameter bifurcation analysis,we identify complex dynamic behaviors such as stability,periodicity,and chaos,and examined the impact of key parameters on these dynamics.We also compared the dynamic behaviors of the discrete and continuous models.Additionally,we delve into the interaction between initial populations of susceptible and infected individuals and its effect on outbreak outcomes,as well as the coexistence of attractors.Our research sheds light on the intricate relationship between media influence,constrained medical resources,and infectious disease propagation,offering recommendations for disease control and intervention approaches.展开更多
基金Supported by Doctoral Fund of Ministry of Education of China(20101101110012)the National Natural Science Foundationof China(51175040)
文摘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.
基金supported in part by the National Natural Science Foundation of China under grant No.62072412,No.61902359,No.61702148No.61672468 part by the Opening Project of Shanghai Key Laboratory of Integrated Administration Technologies for Information Security under grant AGK2018001.
文摘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.
文摘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.
基金supported by the National Natural Science Foundation of China(61102158)the China Postdoctoral Science Foundation(2011M500667)
文摘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.
文摘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.
基金supported by the Beijing Institute of Control Engineering of the China Academy of Space Technology under contract no.202220141364A.
文摘This paper proposes a control strategy focused on the terminal interception of a multiple-pursuer/multipleevader spacecraft pursuit–evasion game.The strategy dynamically switches the capture target for pursuers based on the real-time state of the spacecraft.Firstly,the analytic hierarchy process is used to quantify the state of the pursuers and evaders as a weight matrix.This allows for the allocation of spacecraft to be transformed into the optimal matching of the weighted bipartite graph.Subsequently,the Kuhn–Munkres algorithm is used to search for the optimal matching.Then,the linear quadratic differential game model is used to solve the optimal control strategy of multiple-on-one problems.Finally,the effects of switching control strategies are given by numerical simulations.The results indicate that cooperative guidance leads to better performance of interception,and switching targets helps shorten the terminal distance and increase the success rate.
基金supported in part by the National Natural Science Foundation of China(62173208)Taishan Scholar Project of Shandong Province of China(tsqn202103061)the National Science and Technology Council(NSTC),Taiwan,China(NSTC 113-2221-E-006-145-MY2)。
文摘This paper explores the adaptive exponentially designated-time stabilization issue via event-triggered feedback for a kind of uncertain high-order nonlinear systems.The motivation mainly comes from the following two challenges:the undesired singularity problem arising from infinite control gains at the prescribed-time instant,the effective trade-off between the control amplitude and the triggering duration.The goal is to build an event-triggered mechanism comprising a skillful triggered rule alongside a time-dependent threshold.Utilizing the designed control strategy,the solutions'existence and the prevention of Zeno phenomenon are successfully guaranteed by using a new transformation equipped with a time-varying function and redesigning the continuous state-feedback dominance approach with an array of integral functions involving embedded sign functions.Better than existing prescribed-time methods,our approach not only ensures that state variables converge to a small compact set before a designated time and stay there henceforth,and converge to the origin exponentially,but also ensures that the controller continuously works on the whole-time horizon.Two illustrative examples are given to show the effectiveness of the devised scheme.
基金supported in part by the National Natural Science Foundation of China(Nos.12261104,12201086,12361104)the Youth Talent Program of Xingdian Talent Support Plan(No.XDYC-QNRC-2022-0708)+2 种基金the Yunnan Province International Joint Laboratory for Intelligent Integration and Application of Ethnic Multilingualism(202403AP140014)the Yunnan Provincial Basic Research Program Project(Nos.202401AT070036,202301AT070016)This work was also supported in part by the Chongqing Education Commission Youth Project(No.KJQN202201209).
文摘The paper explores the effects of media influence and limited medical resources on the spread of infectious diseases using mathematical modeling.We construct a switching epidemic model that incorporates a media influence factor,an inoculation function,and a cure function.This model is subsequently discretized and studied via Euler's method.The number of susceptible individuals serves as the switching threshold,determining when media influence and healthcare resources intervene.By conducting an in-depth analysis of the equilibria of two subsystems,we have not only demonstrated the existence and stability conditions of the equilibria but also proposed the flip bifurcation theory for S_(G1).Through single-parameter bifurcation analysis,we identify complex dynamic behaviors such as stability,periodicity,and chaos,and examined the impact of key parameters on these dynamics.We also compared the dynamic behaviors of the discrete and continuous models.Additionally,we delve into the interaction between initial populations of susceptible and infected individuals and its effect on outbreak outcomes,as well as the coexistence of attractors.Our research sheds light on the intricate relationship between media influence,constrained medical resources,and infectious disease propagation,offering recommendations for disease control and intervention approaches.
