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Energy-optimal problem of multiple nonholonomic wheeled mobile robots via distributed event-triggered optimization algorithm 被引量:1
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作者 Ying-Wen Zhang Jin-Huan Wang +1 位作者 Yong Xu De-Dong Yang 《Chinese Physics B》 SCIE EI CAS CSCD 2019年第3期122-129,共8页
The distributed event-triggered optimization problem for multiple nonholonomic robots has been studied to minimize the global battery energy consumption. Each robot possesses its own cost function which depends on the... The distributed event-triggered optimization problem for multiple nonholonomic robots has been studied to minimize the global battery energy consumption. Each robot possesses its own cost function which depends on the state of the hand position and represents battery energy consumption. By coordinate transformation, the dynamics of the hand positions can be formulated into two groups of first-order integrators. Then the distributed event-triggered optimization algorithm is designed such that the states of robots' hand positions exponentially converge to the optimizer of the global cost function.Meanwhile, the velocity and orientation of each robot are ensured to reach zero and a certain constant, respectively. Moreover, the inter-execution time is lower bounded and the Zeno behavior is therefore naturally avoided. Numerical simulations show the effectiveness of the proposed algorithm. 展开更多
关键词 DISTRIBUTED optimization NONHOLONOMIC ROBOTS event-triggered energy-optimal CONSENSUS
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Construction of Energy-Optimal Smooth Monophasic Defibrillation Pulse Waveforms Using Cardiomyocyte Membrane Model
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作者 Vyacheslav A. Vostrikov Boris B. Gorbunov Sergey V. Selishchev 《Journal of Biomedical Science and Engineering》 2015年第9期625-631,共7页
The goal is to help create smooth energy-optimal monophasic pulse waveforms for defibrillation using the Luo-Rudy cardiomyocyte membrane computer model. The waveforms were described with the help of the piecewise line... The goal is to help create smooth energy-optimal monophasic pulse waveforms for defibrillation using the Luo-Rudy cardiomyocyte membrane computer model. The waveforms were described with the help of the piecewise linear function. Each line segment provides a transition from one present level of the transmembrane potential to the next with a minimal energy value. The duration of the last segment was defined as a minimum duration at which an action potential occurs. Monophasic waveforms of segments 3, 10 and 29 were built using different increments of the transmembrane potential. The pulse energy efficiency was evaluated according to their threshold energy ratios in mA2·ms/cm4. There was virtually no difference between the threshold energy ratios of the three waveforms constructed and those of the previously studied energy-optimal half- sine waveform: 241 - 242 and 243 mA2·ms/cm4. The pulse waveform constructed is characterized by a low rise and fall as the duration of the rise is ~1.5 times longer than that of the fall. Conclusion: Energy-optimal smooth monophasic pulse waveforms have the same threshold energy ratio as the optimal half-sine one which was studied before. The latter is equivalent to the first phase of biphasic quasisinusoidal Gurvich-Venin pulse which has been used in Russia since 1972. Thus, the use of the Luo-Rudy cardiomyocyte membrane model appears to offer no possibilities for a substantial increase in the energy efficiency (threshold energy ratio reduction) of the classical monophasic defibrillation pulse waveforms. 展开更多
关键词 energy-optimal DEFIBRILLATION PULSE Waveform MONOPHASIC DEFIBRILLATION PULSE Waveforms Modeling Energy Ratio CARDIOMYOCYTE TRANSMEMBRANE POTENTIAL Action POTENTIAL
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改进的能量最优OpenMP静态调度算法 被引量:1
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作者 董勇 陈娟 杨学军 《软件学报》 EI CSCD 北大核心 2011年第9期2235-2247,共13页
基于前期工作的EOSS算法,给出了扩展条件下的OpenMP静态调度能量优化算法——改进的能量最优OpenMP静态调度算法(improved energy-optimal static scheduling,简称IEOSS).该算法在原有EOSS算法的基础上,建模了数据cache失效造成的访存... 基于前期工作的EOSS算法,给出了扩展条件下的OpenMP静态调度能量优化算法——改进的能量最优OpenMP静态调度算法(improved energy-optimal static scheduling,简称IEOSS).该算法在原有EOSS算法的基础上,建模了数据cache失效造成的访存延迟对并行循环性能及能量的影响,选择最优调度块大小S*,同时结合动态电压/频率调节,获得最小能量消耗.选择NPB3.2-OMP的5个程序进行模拟,以480个处理器、64字节大小的cache line为例,在5%的性能损失条件下,对比OpenMP缺省的块调度的能量消耗,IEOSS算法可使EP,IS,FT,CG,MG程序的并行循环能量消耗分别减少10.15%,4.49%,81.66%,2.32%和10.11%.实验结果验证了算法IEOSS通过DVS结合最优块大小的选择,能够明显改进能量优化效果. 展开更多
关键词 能量优化 OPENMP 循环调度 电压/频率调节 IEOSS(improved energy-optimal STATIC scheduling)
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