Информационная технология проектирования робастных баз знаний нечетких регуляторов. Ч. 3: Квантовый нечёткий вывод и квантовая информация
Боковая панель статьи
Основное содержимое статьи
Аннотация
Использование разработанной модели квантового нечеткого вывода на основе квантовых вычислений приводит к самоорганизации знаний и повышению уровня робастности интеллектуальных
систем управления в непредвиденных ситуациях управления.
Скачивания
Информация о статье
Библиографические ссылки
Litvintseva L.V., Ulyanov S.S., Takahashi K. et all. Intelligent robust control design based on new types of computation. Pt 1. New soft computing technology of KB-design of smart control simulation for nonlinear dynamic systems. – Milan: Note del Polo (Ricerca), Universita degli Studi di Milano. – 2004. – Vol. 60.
Litvintseva L.V., Ulyanov S.V. et all. Soft computing optimizer for intelligent control systems design: the structure and applications // J. Systemics, Cybernetics and Informatics (USA). – 2003. – Vol. 1. – № 5.
Ulyanov S.V., Litvintseva L.V. Design of self-organized intelligent control systems based on quantum fuzzy inference: Intelligent system of systems engineering approach // Proc. of IEEE Internat. Conf. on Systems, Man and Cybernetics (SMC’2005). – Hawaii, USA. – 2005. – Vol. 4.
Ulyanov S.V., Litvintseva L.V., Ulyanov S.S. et all. Self-organization principle and robust wise control design based on quantum fuzzy inference // Proc. of Internat. Conf. ICSCCW’2005. – Antalya. Turkey. – 2005.
Litvintseva L.V. Ulyanov S.V., Takahashi K. et all. Design of self-organized robust wise control systems based on quantum fuzzy inference // Proc. of World Automation Congress (WAC’2006): Soft computing with Industrial Applications (ISSCI’2006). – Budapest, Hungary. – 2006. – Vol. 5.
Кураваки И., Литвинцева Л.В., Ульянов С.В. и др. Построение робастных баз знаний нечётких регуляторов для интеллектуального управления существенно нелинейными динамическими системами // Изв. РАН. ТиСУ. – 2004. – № 4.
Литвинцева Л.В., Ульянов С.В., Ульянов С.С. Построение робастных баз знаний нечётких регуляторов для интеллектуального управления существенно нелинейными динамическими системами. II // Изв. РАН. ТиСУ. – 2006. – № 5.
Nielsen M.A., Chuang I.L. Quantum Computation and Quantum Information. – Cambridge Univ. Press, UK. – 2000.
Marinescu D.C., Marinescu G.M. Approaching quantum computing. – Pearson Prentice Hall, USA. – 2005.
Ulyanov S.V., Litvintseva L.V., Ulyanov S.S. et all. Quantum information and quantum computational intelligence: Backgrounds and applied toolkit of information design technologies. – Milan: Note del Polo (Ricerca), Universita degli Studi di Milano. – 2005. – Vol. 78-86.
Dalla Chiara M.L., Guintini R., Greechie R. Reasoning in quantum theory: Sharp and unsharp quantum logic. – Holland, Kluwer Acad. Publ. – 2004.
Pati A.K. General impossible operations in quantum information // Phys. Review. – 2002. – Vol. A66. – № 6.
Zhou D., Zeng B., You L. Quantum information cannot be split into complementary parts // Physics Letters. – 2006. – Vol. A352. – № 1/2.
Kashefi E., Kent A., Vedral V. et all. Comparison of quantum oracles // Phys. Review. – 2002. – Vol. A65. – № 5.
Bessen A.J. The power of various re al-valued quantum queries // J. of Complexity. – 2004. – Vol. 20. – № 5.
Atici A. Comparative computational strength of quantum oracles // arXiv: quant-ph/0312107v1. – 2003.
Azuma H. A quantum algorithm for examining oracles // arXiv: quant-ph/0408013v1. – 2004.
Iwama K., Kawachi A., Raymond R. et all. Robust quantum algorithms for oracle identification // arXiv: quant-ph/0411204 v1. – 2004.
Wojcik A., Chhajlany R.W. Quantum-classical correspondence in the oracle model of computation // arXiv: quant-ph/0506248v1. – 2005.
Баргатин И.В., Гришанин Б.А., Задков В.Н. Запутанные квантовые состояния атомных систем // УФН. – 2001. – Т. 171. – № 6.
Jozsa R., Linden N. On the role of entanglement in quantum computational speed-up // Proceedings R. Soc. Lond. – 2003. – Vol. 459. – № 2036.
Vidal G. Efficient classical simulation of slightly entangled quantum computation // Phys. Review Letters. – 2003. – Vol. 91. – №14.
Ulyanov S.V. System and method for control using quantum soft computing // US patent. – № 6,578,018B1. – 2003.
Клышко Д.Н. Основные понятия квантовой физики с операциональной точки зрения // УФН. – 1998. – Т. 168. – № 9.
Khrennikov A. Representation of the Kolmogorov model having all distinguishing features of quantum probabilistic model // Physics Letters. – 2003. – Vol. A3 16. – № 3.
Ghisi F., Ulyanov S.V. The information role of entanglement and interference in Shor quantum algorithm gate dynamics // J. Modern Optics. – 2000. – Vol. 47. – № 12.
Selinger P. Towards a quantum programming language // Math Structures Comp Sciences. – 2004. – Vol. 14. – № 4.
Brunet O., Jorrand Ph. Dynamic quantum logic for quantum programs // Internat. J. Quantum Information. – 2005. – Vol. 2. – № 1. – P. 45-54.
Altenkirch T., Grattage J. An algebra of pure quantum programming // arXiv: quant-ph/0506012v1. – 2005.
Feng Y., Duan R., Ji Z. et all. Semantics of purely quantum programming language // arXiv: quantph/0507043v2. – 2005.
Mauerer W., Semantics and simulation of communication in quantum programming // arXiv: quantph/0511145v1. – 2005.
Zuliani P., Compiling quantum programs // Acta Informatica. – 2005. – Vol. 41. – № 7/8.
Lalire M. Relations among quantum processes: Bisimilarity and congruence // arXiv: quantph/0603274v1. – 2006.
Tafliovich A., Hehner E.C.R. Quantum predective programming // arXiv: quant-ph/0602156v1. – 2006.
Килин С.Я. Квантовая информация // УФН. – 1999. – Т. 169. – № 5.
Холево А.С. Введение в квантовую теорию информации. – М.: Наука. – 2002.
Keyl M. Fundamentals of quantum information theory // Physical Reports. – 2002. – Vol. 369. – № 5.
Cerf N.J., Adami C. Negative entropy and information in quantum mechanics // Phys. Review Letters. – 1997. – Vol. 79. – № 26.
Horodecki M., Oppenheim J., Winter A. Partial quantum information // Nature. 2005. – Vol. 436. – № 7051.
Henderson L., Vedral V. Classical, quantum and total correlation // J. Phys. A: Math. Gen. – 2001. – Vol. 34. – № 35.
Sanctuary B.C. Correlations in entangled states // arXiv: quant-ph/0508238v1. – 2005.
Hamieh S., Kobes R., Zaraket H. Positive-operator-valued measure optimization of classical correlations // Phys. Review. – 2004. – Vol. A70. – № 5.
Hamieh S., Qi J., Siminovitch D. et all. Extraction of classical correlations from a bipartite quantum system // Phys. Review. – 2003. – Vol. A67. – № 1.
Groisman B., Popescu S., Winter A. Quantum, classical, and total amount of correlations in quantum state // Phys. Review. – 2005. – Vol. A72. – № 3.
DiVincenzo D.P., Horodecki M., Leung D.W. et all. Locking classical correlation in quantum states // Phys. Review Letters. – 2004. – Vol. 92. – № 6.
Horodecki M., Horodecki P., Horodecki R. et all. Local versus nonlocal information in quantuminformation theory: Formalism and phenomena // Phys. Review. – 2005. – Vol. A71. – № 6.
Maruyama K., Brukner C., Vedral V. Thermodynamical cost of accessing quantum information // J. Phys. A: Math. Gen. – 2005. – Vol 38. – № 32.
Christandl M., Winter A. Uncertainty, monogamy, and locking of quantum correlations // IEEE Transactions on Information Theory. – 2005. – Vol. 51. – № 9.
Levitin L.B. Conditional entropy and information in quantum systems // Chaos, Solitons and Fractals. –1999. – Vol. 10. – № 10.
Olivier H., Zurek W.H. Quantum discord: A measure of the quantumness of correlations // Phys. Review Letters. – 2002. – Vol. 88. – № 1.
Zurek W.H. Quantum discord and Maxwell’s demon // Phys. Review. – 2003. – Vol. A67. – № 1.
Giraldi G.A., Portugal R., Thess R.N. Genetic algorithms and quantum computation // arXiv: cs.NE/0403003v1. – 2004.
Ulyanov S.V., Rizzotto G.G., Kurawaki I. et all. Method and hardware architecture for controlling a process or for processing data based on quantum soft computing // PCT Patent. WO № 01/67186 A1. – 2000.
Петров Б.Н., Уланов Г.М., Ульянов С.В. и др. Проблемы управления релятивистскими и квантовыми динамическими системами. – М.: Наука, 1982.
Гольденблат И.И., Ульянов С.В. Введение в теорию относительности и её приложения к новой технике. – М.: Физматгиз, 1979.
Ulyanov S.V., Kurawaki I., Panfilov S.A. et all. Information analysis of quantum gates for simulation of quantum algorithms on classical computers // Proceedings of Intern. Conf. on Quantum Communication, Measurements and Computing (QCM&C’2000). – Capri. Italy, 2000. Kluwer Acad./Plenum Publ. – 2001. – Pp. 207-214.
Zurek W.H. Probabilities from entanglement, Born’s rule pk k 2 from envariance // Phys. Review. – 2005. – Vol. A71. – № 5.
Ulyanov S.V., Litvintseva L.V., Ulyanov S.S. et all. Computational intelligence with quantum game’s approach and robust decision-making in communication information uncertainty // Proceedings of Internat. Conf. on Computational Intelligence (ICCI’2004). – Nicosis. North Cyprus. – 2004. – Pp. 172-187.
Ulyanov S.V., Takahashi K., Litvintseva L.V. et all. Quantum soft computing via robust control: Classical efficient simulation of wise quantum control in non-linear dynamic systems based on quantum game gates // Proceedings of 2nd Internat. Conf. on Soft Computing, and Computing with Words in System Analysis, Decision and Control (ICSCCW’2003). – Antalya. Turkey. – 2003. – Pp. 11-41.
Ulyanov S.V., Degli Antoni G., Yamafuji K. et all. Physical limits and information bounds of microcontrol. Pt 2: Quantum soft computing and quantum search algorithms // Proceedings Internat. Symp. Micro-machine and Human Science (MHS’98). – Nagoya. Japan. – 1998. – Pp. 217-224.
Ulyanov S.V., Kurawaki I., Litvintseva L.V. et all. Applied quantum soft computing for optimization of KB structures in fuzzy controllers: Introduction // Proceedings World Cong. on Intelligent Systems on Industrial Automation (WCIS’2000). – Tashkent. Uzbekistan. – 2000. – Pp. 34-57.
Ulyanov S.V., Litvintseva L.V., Kurawaki I. et all. Applied quantum soft computing for global optimization and robust control design: Methodological approach // Proceedings 4th Internat. Conf. on Applications of Fuzzy Systems and Soft Computing (ICAFS’ 2000). – Siegen. Germany. – 2000. – Pp. 190-213.
Ulyanov S.V., Takahashi K., I. Kurawaki et all. Quantum soft computing: Quantum global optimization and quantum learning processes – Application in AI, informatics and intelligent control processes // Proc. of the 7th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI’2003). – Florida. Orlando, USA. – 2003. – Vol. 7. – Pp. 422-427.
Ulyanov S.V. Quantum soft computing in control process design: genetic algorithms and quantum neural network approaches // Proceedings of World Automation Congress (WAC’2004): Soft computing with Industrial Applications (ISSCI’2004). – Seville. Spain. – 2004. – Vol. 17. – Pp. 99-104.