Bacteria Foraging Optimization-based Extremum Seeking Control
A bacteria foraging optimization-based extremum seeking control (ESC) scheme is proposed. In the scheme, the system states are guided to the optimal point by the controller based on the online measurement, and the explicit form of the performance function is not needed. By measuring the performance function value online, a sequence, generated by the bacteria foraging optimization algorithm, steers the regulator that drives the system states approaching to the set point that optimizes the performance. We also present an algorithm that first reshuffles the sequence, and then inserts intermediate states into the sequence, to reduce the regulator gain and oscillation induced by stochastic, population-based searching algorithms. Simulation examples demonstrate the effectiveness and robustness of the proposed scheme.
Hui Liu Hong Chen Li Kong
China Ship Research and Development Academy Beijing, China Wuhan 2nd Ship Design and Research Institute Huazhong University of Science and Technology Wuhan, Hu Huazhong University of Science and Technology Wuhan, Hubei,China
国际会议
厦门
英文
110-115
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）