And then by means of the same way , we synthesize the holographic robust controller for a class of complex systems with similar structure . ? the method proposed has the advantage of those achievements listed in references , which require some so strict hypotheses that limit its application in engineering . under some simple conditions , this paper uses sample data of states and the norm of uncertainties of system to be controlled to build fuzzy logical system to control complex systems 针对以往对于复杂系统控制问题的研究中大都依赖于较为苛刻的假设条件的弊端，本文的方法在仅假设复杂系统的不确定性具有未知上界函数的情形下，利用采样数据和不确定性的范数结构形式构造模糊逻辑系统，进而合成被控系统的鲁棒控制器，削弱了类似研究成果的假设条件，使得研究结论更加贴近工程实用。
It makes the method more suitable for engineering use . ? as we known , handling the uncertainties is a critical problem in complex systems control layout , we take a method of centralizing the uncertainties of complex systems to be controlled firstly and then constructing fuzzy logical system to approximate so that the new structural complexities resulted by applying fuzzy logical system are controlled 在处理复杂系统中的不确定性这一难点问题上，通过先将复杂系统中的不确定性进行归一化处理，然后再利用模糊逻辑系统进行逼近的方法，避免了由于过多采用模糊逻辑系统而可能造成系统更加复杂化的弊端，从而保证了本文所提出方法的可实现性和有效性。
