Then , chaos control on hyper - chaotic chua ' s circuit is studied using feedback method of variables " proportional and differential . it is demonstrated that instead of feeding back one system variable to control chaos it needs at least two system variables to control hyper - chaos 接著研究了超混沌chua電路的混沌控制,研究發(fā)現(xiàn)單變量的比例微分控制對(duì)超混沌的控制是不充分的,既至少需要應(yīng)用兩個(gè)變量的比例微分反饋才能實(shí)現(xiàn)超混沌chua電路的控制。
Third , controlling chaos in the chaotic n - scroll chua ' s circuit is studied . the approach taken is to use feedback of a single state variable in a simple pd ( proportional and differential ) format . first , the unstable fixed points in the n - scroll chua ' s circuit are classified into two different types according to the characteristics of the eigenvalues of the linearized system matrix at the fixed points 第三,研究了多渦卷chua電路中不動(dòng)點(diǎn)處jacobian矩陣特征根的性質(zhì),并據(jù)此將不動(dòng)點(diǎn)分成兩類,應(yīng)用變量的比例微分反饋法分別對(duì)這兩類不動(dòng)點(diǎn)的可控性進(jìn)行了研究,研究發(fā)現(xiàn)該法只能實(shí)現(xiàn)第一類不動(dòng)點(diǎn)及其相應(yīng)子空間的混沌控制,而不能完成第二類不動(dòng)點(diǎn)的混沌控制,并給出了數(shù)值模擬結(jié)果,理論分析和數(shù)值模擬證實(shí)了該方法的有效性。
At first , a feedback chaos control method based on variables " proportional and differential is presented . and then it is applied to two autonomous classical physical systems lorenz system and chen system as well as two non - autonomous classical physical systems rossler system and buluser vibrator . chaos in these systems are suppressed 首先,提出了基于變量的比例微分反饋進(jìn)行混沌控制的方法,并將其應(yīng)用到兩個(gè)經(jīng)典的自治混沌系統(tǒng)lorenz系統(tǒng)和chen氏系統(tǒng)以及兩個(gè)經(jīng)典的非自治系統(tǒng)rossler系統(tǒng)和buluser振子系統(tǒng)的混沌控制中,抑制了這些系統(tǒng)的混沌。
變量: variable; variable quantity; ...的: 4次方是 The fourth power of 2 i ...比例: scale; scaling樣本量的比例分配: proportional allocation of sample size變量的: variable; variational標(biāo)準(zhǔn)的比例: arithmetic scale成功的比例: proportion of successes改變的比例: modified ratio貨幣的比例: currency proportion損壞的比例: ausfallrate變量的變換: transformation on variables變量的范圍: range of variables變量的分組: grouping of variables變量的更換: change of the variable; transformation of the variable變量的歸并: aggregation of variables變量的均分: dichotomy of variables變量的類型: type of variables變量的離差: spread of the variables變量的篩選: screening of variables變量的生成: generation of a variable變量的時(shí)限: timing of variables變量的像: image of a variate變量的域: scope of variable單變量的: monovariant; univariant; univariate多變量的: multivariable