UKF-Based Key-parameters Compensation Control For Abnormal Firing in PR Model
Abnormal firing of neurons is often caused by the abnormality of one or more parameters. These parameters cant be measured in actual physical experiment, but can be estimated with estimator. Brain is a complex nonlinear system with a large amount of noise. UKF (Unscented Kalman Filter) is a good choice to estimate the parameters of nonlinear system. In this paper we design a compensation control based on UKF to recover the morbid system. Take the deviation between the estimated and the standard parameters as control signal and use this signal to control the firing state of the neurons. It is found that our control can eliminate the abnormal firing caused by two or more abnormal parameters.
UKF PR model compensation control
Xile Wei Jian Cheng Jiang Wang Bin Deng Meili Lu Yanqiu Che
School of Electrical Engineering and Automation Tianjin University Tianjin, China Tianjin Key Laboratory of Information Sensing & Intelligent Control, School of Automation and Electr
国际会议
上海
英文
2032-2036
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）