The control parameter can be selected via linear control theory , and criteria for the design of the control parameters are also investigated 根據(jù)線性控制理論選擇控制參數(shù),并研究了設(shè)計(jì)控制參數(shù)的準(zhǔn)則。
It has solved the problem of weak robust when the linear control theory is used to control a complicated nonlinear systems like airplane 克服了單純用線性控制系統(tǒng)理論來控制象殲擊機(jī)這樣的復(fù)雜非線性系統(tǒng)魯棒性能較差的問題。
Through mechanism analysis of several modified particle swarm optimizations ( pso ) , a new uniform model of pso is described , and the convergence is analysed with linear control theory 摘要通過分析已有的幾種微粒群算法,提出了一種統(tǒng)一模型,并通過線性控制理論分析了其收斂性能。
Linear control theory based design doesn " t completely consider the uncertainties caused by time - varying transfer delay , saturated non - linearity and dynamical variety of users 基于線性控制理論的方法幾乎都沒有綜合考慮傳輸延時的隨機(jī)時變特性、飽和非線性和用戶數(shù)的動態(tài)變化等不確定性。
Based on precise mathematical models , classic linear control theory tries to find a controller satisfying given performance index , while modern control theory aims to search the optimal controller such that the optimal performance index can be realized 在精確的數(shù)學(xué)模型的基礎(chǔ)上,經(jīng)典線性控制理論立足于使系統(tǒng)滿足于一定的性能指標(biāo),而現(xiàn)代控制理論則追求性能指標(biāo)最優(yōu)。
The road tunnel ventilation system has strong non - linear characteristic and it is difficult to gain the precise mathematical model by using the traditional linear control theory , therefore , the modern control methods such as the fuzzy control become the trend for the road tunnel ventilation control . however , there are some difficulties with the establishment of the fuzzy membership functions and the rule base 公路隧道通風(fēng)系統(tǒng)具有很強(qiáng)的非線形特征,傳統(tǒng)的線性控制理論難以獲得精確的數(shù)學(xué)模型,因此模糊控制等現(xiàn)代控制方法成為公路隧道通風(fēng)控制的趨勢,但模糊控制存在隸屬函數(shù)、控制規(guī)則難以確定的問題。