Self-organization traffic flow methods based on traffic intelligent control systems

2017 ◽  
Author(s):  
Duofu Ye ◽  
Xin Liu ◽  
Gang Liu ◽  
Bing He ◽  
Haoshen Lin
Keyword(s):  
Control Systems ◽  
Traffic Flow ◽  
Intelligent Control ◽  
Self Organization ◽  
Intelligent Control Systems

Some Kinds of Pseudo-Intelligent Control Systems for Selecting Trajectories of Flight Vehicles

2014 ◽  
Vol 598 ◽  
pp. 557-561 ◽  
Author(s):  
A.V. Proletarsky ◽  
K.A. Neusipin ◽  
Kai Shen
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Intelligent Systems ◽  
Self Organization ◽  
Functional Systems ◽  
Intelligent Control Systems ◽  
Flight Vehicles

In order to effectively solve the problem of selection trajectories of flight vehicles, some pseudo-intelligent systems with functional structures were established. Moreover, systemogenesis of pseudo-intelligent control systems of flight vehicles was illustrated. Based upon the theory of P.K. Anoxin functional systems and self-organization algorithms, the perspective pseudo-intelligent control systems for all stages of systemogenesis can make a reality of the whole-life control of flight vehicles.

scholarly journals Intelligent robust control of redun-dant smart robotic arm Pt II: Quantum computing KB optimizer

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Sergey Victorovich Ulyanov
Keyword(s):  
Quantum Computing ◽  
Control Systems ◽  
Intelligent Control ◽  
Fuzzy Inference ◽  
Knowledge Bases ◽  
Cognitive Robotics ◽  
Self Organization ◽  
Classical Dynamic ◽  
Intelligent Control Systems ◽  
Quantum Programming

In the first part of the article, two ways of fuzzy controller’s implementation showed. First way applied one controller for all links of the manipulator and showed the best performance. However, such an implementation is not possible in complex control objects, such as a planar redundant manipulator with seven degrees of freedom (DoF). The second way use of separated control when an independent fuzzy controller controls each link. The decomposition control due to a slight decrease in the quality of management has greatly simplified the processes of creating and placing knowledge bases. In this paper (Part II), the advantages and limitations of intelligent control systems based on soft computing technology described. To eliminate the mismatch of the work of separate independent fuzzy controllers, methods for self-organizing coordination control based on quantum computing technologies to create and design robust intelligent control systems for robotic manipulators with 3DOF and 7DOF described. Quantum fuzzy inference as quantum self-organization algorithm of imperfect KBs introduced. Quantum computational intelligence smart toolkit QCOptKBTMbased on quantum fuzzy inference applied. QCOptKBTM toolkit include quantum deep machine learning in on line. Successful engineering application of end-to-end quantum computing information technologies (as quantum sophisticated algorithms and quantum programming) in searching of solutions of algorithmic unsolved problems in classical dynamic intelligent control systems, artificial intelligence (AI) and intelligent cognitive robotics discussed. Quantum computing supremacy in efficient solution of intractable classical tasks as global robustness of redundant robotic manipulator in unpredicted control situations demonstrated. As result, the new synergetic self-organization information effect of robust KB design from responses of imperfect KBs (partial KB robustness cretead on toolkit SCOptKBTM in Pat I) fined.

scholarly journals On the Need to Create Intelligent Control Systems for Systems with a Critical Mission

2021 ◽  
pp. 60-66
Author(s):  
В. Б. Бетелин ◽  
Д. А. Моргун
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Software Components ◽  
Application Software ◽  
Critical Systems ◽  
Power Outages ◽  
Self Monitoring ◽  
Intelligent Control Systems ◽  
Digital Control Systems ◽  
Mission Critical

Происходящие в мире события свидетельствуют о возрастании угрозы перехвата управления системами с критической миссией (СКМ). Приводятся конкретные примеры инцидентов, один из них — массовые отключения электроэнергии в Венесуэле. Обосновывается необходимость разработки технологии создания цифровых систем управления, обеспечивающей парирование угрозы перехвата управления и нештатного функционирования систем с критической миссией. В основе этой технологии — концепция цифровых двойников объектов управления цифровых систем управления этими объектами, включая все аппаратные и программные компоненты, а также интеллектуальные средства самоконтроля и самокоррекции функционирования элементной базы, вычислительной и коммуникационной техники, базового и прикладного программного обеспечения. There is an ongoing threat of control interception in mission-critical systems (MCS). Specific examples of such incidents are presented, one of them is the massive power outages in Venezuela. We specify the reasons for creating an approach to developing digital control systems for MCS resistant to control interception and abnormal functioning. This technology is based on the digital twin concept. A twin represents all the hardware and software components, as includes smart tools for the hardware, core and application software self-monitoring and self-correction.  

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