The major of ICT:Intelligent Control Technology is the product of the combination of mechanical and electronic engineering Technology and Intelligent Control expertise.It applies theories such as fuzzy Control,neural network Control and chaos Control to electromechanical engineering practice,including the design and simulation of Intelligent systems.Intelligent system maintenance,system operation,test analysis and management.
Career prospects for Intelligent Control Technology majors in 2022
"Made in China 2025"action program,indicated that domestic be badly in need of a large number of professional talents with advanced manufacturing technology,such as mechanical,electrical,processing and manufacturing industry,intelligent control technology in product design,production,transformation,technical support,professional and intelligent control field,equipment installation,commissioning,maintenance,sales,management,etc.Need to have mechanical design and manufacturing,intelligent automation control professional knowledge and practic
al ability of talents,especially need to have innovation ability with network,intelligent,information knowledge of talents.
The most important is the basic course of control and professional courses,the basic course of control is control theory,generally open ordinary differential equations and automatic control theory.Professional course nature is computer control principle and intelligent control.The mathematical basis of computer control principle is discrete mathematics.In fact,it is to make the content of control theory into discrete values,which are calculated by computers.It is mainly the mathematical basis of difference equations,signals and systems,and the application basis of control theory.Intelligent control is more mature fuzzy control,artificial neural network control and expert system.The foundation of mathematics,as the name implies,is fuzzy mathematics.Engineering theory is also based on control theory.Said and what you are learning and employment prospect is clear:all used to control science is your place,foreground is very good and very wide,control science everywhere,from the private sector to the institute and even some departments can,companies like huawei the wasa
many positions this year can reach 10000 after tax.Finally GIVE A PIECE OF advice:FUZZY MATHEMATICS DO NOT WANT TO LEARN CONFUSED MATHEMATICS,DISCRETE MATHEMATICS do NOT WANT to learn SCATTERED MATHEMATICS,WORK IS THE most REALISTIC DISCIPLINE,ability IS THE MOST important,CAN DO HOW MUCH WORK TO take how much money is TRUE portrayal.Mainly in the sensor and intelligent instrument,intelligent control and intelligent system,photoelectric tracker intelligent control,chemical intelligent information engineering,intelligent building,intelligent control system,intelligent decision support system,intelligent structural mechanics and electromagnetic medium mechanics,intelligent manufacturing,intelligent rehabilitation equipment,intelligent agriculture,intelligent power,business intelligence,intelligent household and other fields,He is engaged in scientific research,development and design,engineering application of intelligent system,intelligent information processing,intelligent behavior decision making and so on.
智能控制技术(ICT:Intelligent Control Technology)专业是机械电子工程技术与智能控制专业
知识相结合的产物，将模糊控制、神经网络控制、混沌控制等理论应用于机电工程实际，包括对智能系统的设计与仿真，智能系统维护、系统运行、试验分析与管理。
2022智能控制技术专业就业前景
“中国制造2025”行动纲要的发布，预示国内急需大量具有先进制造技术专业人才，在机械、电气、加工制造等行业，从事智能控制技术领域产品设计、生产、改造、技术支持，以及智能控制领域专业设备的安装、调试、维护、销售、经营管理等工作的人才。需要具备机械设计与制造、智能自动化控制专业知识和实践能力的人才，特别是需要具备创新能力的具有网络化、智能化、信息化专业知识的人才。
最主要的是控制基础课和专业课，控制基础课就是控制理论，一般都会开常微分方程和自控理论。专业课自然就是计算机控制原理和智能控制。计算机控制原理的数学基础是离散数学，实际上就是把控制理论的内容做成离散值，由计算机来进行运算，主要是差分方程，信号与系统方面的数学基础和控制理论方面的应用基础。智能控制比较成熟的是模糊控制，人工神经网络控制和专家系统。数学基础顾名思义就是模糊数学。工程理论基础是也是控制理论。说完你学什么再说就业前景就明确了：一切用的到控制科学的地方都是你
英语专业就业前景的用武之地，前景十分美好并且宽广，可以说控制科学无处不在，从私企到研究所甚至某些部门都可以，像华为华赛这样的企业很多岗位应届签就能达到税后1万。最后给个忠告：模糊数学不要学成迷糊数学，离散数学不要学成零散数学，工学是最现实的学科，本领是最重要的，能干多少活就拿多少钱是真实写照。主要在传感器与智能仪器、智能控制与智能系统、光电跟踪仪智能控制、化工智能信息工程、智能建筑、大系统智能控制、智能决策支持系统、智能结构力学与电磁介质力学、智能制造、智能康复器械、智能农业、智能电力、商业智能、智能家居等领域，从事智能系统、智能信息处理、智能行为决策等方面的科学研究、开发设计、工程应用等工作。
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