Search Results - "Litvintseva, L. V."

Intelligent control systems. II. Design of self-organized robust knowledge bases in contingency control situations by Karatkevich, S. G., Litvintseva, L. V., Ul’yanov, S. V.

“…Informational technology for design of robust knowledge bases based on discovery synergetic effect of their self-organization in contingencies is developed…”
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Intelligent control systems. I. Quantum computing and self-organization algorithm by Litvintseva, L. V., Ul’yanov, S. V.

“…The role and methodology of application of quantum computing in problems of design of robust intelligent control systems under the conditions of contingency…”
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Quantum fuzzy inference for knowledge base design in robust intelligent controllers by Litvintseva, L. V., Ul’yanov, I. S., Ul’yanov, S. V., Ul’yanov, S. S.

“…The analysis of simulation results obtained using soft computing technologies has allowed one to establish the following fact important for developing…”
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Design of robust knowledge bases of fuzzy controllers for intelligent control of substantially nonlinear dynamic systems: II. A soft computing optimizer and robustness of intelligent control systems by Litvintseva, L. V., Ul’yanov, S. V., Ul’yanov, S. S.

“…The structure of intelligent control system (ICS) is analyzed, and the interrelations with conventional problems of the theory and practice of application of…”
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Principle of minimum entropy production in applied soft computing for advanced intelligent robotics and mechatronics by Ulyanov, V. S., Panfilov, S. A., Ulyanov, S. V., Litvintseva, L. V., Kurawaki, I., Tanaka, K.

“…A new approach to design of smart intelligent control systems for advanced robotics and mechatronics is developed. The principle of minimum entropy production…”
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Soft computing simulation design of intelligent control systems in micro-nano-robotics and mechatronics by Panfilov, S. A., Ulyanov, S. V., Kurawaki, I., Ulyanov, V. S., Litvintseva, L. V., Rizzotto, G. G.

“…The soft computing simulation design methodology of intelligent control system for mobile micro-nano-robots based on modeling of non-linear dissipative…”
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Soft computing algorithms for intelligent control of a mobile robot for service use by Tanaka, T., Ohwi, J., Litvintseva, L. V., Yamafuji, K., Ulyanov, S. V.

“…The arrangement principles and design methodology on soft computing for complex control framework of AI control system in Part 1 of this paper are developed…”
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Soft computing for the intelligent robust control of a robotic unicycle with a new physical measure for mechanical controllability by Ulyanov, S. V., Watanabe, S., Ulyanov, V. S., Yamafuji, K., Litvintseva, L. V., Rizzotto, G. G.

“…The posture stability and driving control of a human-riding-type unicycle have been realized. The robot unicycle is considered as a biomechanical system using…”
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Intelligent robust control of a robotic unicycle based on a new physical measure for mechanical controllability: Intelligent mobile robots by ULYANOV, V. S, WATANABE, S, YAMAFUJI, K, ULYANOV, S. V, LITVINTSEVA, L. V, KURAWAKI, I

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Soft computing algorithms for intelligent control of a mobile robot for service use: Part 1: Direct human-robot communications and managing system for cooperative control by Tanaka, T., Ohwi, J., Litvintseva, L. V., Yamafuji, K., Ulyanov, S. V.

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Soft computing algorithms for intelligent control of a mobile robot for service use by Tanaka, T, Ohwi, J, Litvintseva, L. V, Yamafuji, K, Ulyanov, S. V

“…The arrangement principles and design methodology on soft computing for complex control framework of AI control system are introduced. The basis of this…”
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Intelligent robust control of a robotic unicycle based on a new physical measure for mechanical controllability by Ulyanov, V.S., Watanabe, S., Yamafuji, K., Ulyanov, S.V., Litvintseva, L.V., Kurawaki, I.

“…The posture stability driving control of a human riding-type unicycle has been realized. The robotic unicycle is considered as a biomechanical system using an…”
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Design of self-organized intelligent control systems based on quantum fuzzy inference: intelligent system of systems engineering approach by Ulyanov, S.V., Litvintseva, L.V., Panfilov, S.A.

“…This report presents a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness…”
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