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Neural network based adaptive sliding mode control of uncertain nonlinear systems 被引量:4
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作者 Ghania Debbache Noureddine Goléa 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第1期119-128,共10页
The purpose of this paper is the design of neural network-based adaptive sliding mode controller for uncertain unknown nonlinear systems. A special architecture adaptive neural network, with hyperbolic tangent activat... The purpose of this paper is the design of neural network-based adaptive sliding mode controller for uncertain unknown nonlinear systems. A special architecture adaptive neural network, with hyperbolic tangent activation functions, is used to emulate the equivalent and switching control terms of the classic sliding mode control (SMC). Lyapunov stability theory is used to guarantee a uniform ultimate boundedness property for the tracking error, as well as of all other signals in the closed loop. In addition to keeping the stability and robustness properties of the SMC, the neural network-based adaptive sliding mode controller exhibits perfect rejection of faults arising during the system operating. Simulation studies are used to illustrate and clarify the theoretical results. 展开更多
关键词 nonlinear system neural network sliding mode con- trol (SMC) adaptive control stability robustness.
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Game-theoretic approach to power and admission control in hierarchical wireless sensor networks 被引量:2
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作者 Guofang Nan Zhifei Mao Minqiang Li 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第2期216-224,共9页
Power efficiency and link reliability are of great impor- tance in hierarchical wireless sensor networks (HWSNs), espe- cially at the key level, which consists of sensor nodes located only one hop away from the sink... Power efficiency and link reliability are of great impor- tance in hierarchical wireless sensor networks (HWSNs), espe- cially at the key level, which consists of sensor nodes located only one hop away from the sink node called OHS. The power and admission control problem in HWSNs is comsidered to improve its power efficiency and link reliability. This problem is modeled as a non-cooperative game in which the active OHSs are con- sidered as players. By applying a double-pricing scheme in the definition of OHSs' utility function, a Nash Equilibrium solution with network properties is derived. Besides, a distributed algorithm is also proposed to show the dynamic processes to achieve Nash Equilibrium. Finally, the simulation results demonstrate the effec- tiveness of the proposed algorithm. 展开更多
关键词 hierarchical network power control admission con- trol game theory double-pricing scheme.
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基于CPLEX与MATLAB的电动汽车充电站优化调度仿真系统 被引量:13
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作者 程杉 王贤宁 +1 位作者 冯毅煁 王睿娟 《电网与清洁能源》 2018年第1期123-127,136,共6页
以实现电动汽车充电站收益最大化为目标,针对电动汽车充电站对电动汽车如何选择充电时段的优化调度问题,建立了基于CPLEX和MATLAB的电动汽车充电站优化调度仿真系统。分别采用无序充电、集中式控制充电、分散式控制充电3种方式运行,同... 以实现电动汽车充电站收益最大化为目标,针对电动汽车充电站对电动汽车如何选择充电时段的优化调度问题,建立了基于CPLEX和MATLAB的电动汽车充电站优化调度仿真系统。分别采用无序充电、集中式控制充电、分散式控制充电3种方式运行,同时对比了它们对当地日负荷曲线的影响。利用MATLAB中图形用户界面设计功能(GUI)建立了仿真系统界面,进而通过设置各个控件的属性功能及编制M文件来实现优化控制的功能。最后经过编译形成可操作文件。该仿真系统具有可视性、多功能性及可控性等优点,有助于完成电动汽车充电站对电动汽车的优化调度仿真实验。 展开更多
关键词 充电站收益 分散式控制 集中式控制 拉格朗日松弛法 仿真实验
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