Диссертация (1145289), страница 58
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WP5-B.104. Doyle, J. Feedback control theory / J. Doyle, B. Francis, A. Tannenbaum. –New York: Macmillan Publ. Co., 1992. – 227 p.105. State-space solutions to standard H2 and H∞ control problems / J. C. Doyle[et al.] // IEEE Transactions on Automatic Control. – 1989. – Vol. 34, no. 8. –P. 831-847.106. Assessment and Future Directions of Nonlinear Model Predictive Control.Lecture Notes in Control and Information Sciences / ed. by R. Findeisen, L. Biegler,F. Allgower. – Berlin: Springer-Verlag, 2007. – 642 p.107. Fletcher, R. Practical Methods of Optimization / R.
Fletcher. – 2nd ed. –John Wiley & Sons Ltd., 2000. – 450 p.108. Fossen, T. I. Guidance and Control of Ocean Vehicles / T. I. Fossen. – JohnWiley & Sons Ltd., 1994. – 494 p.109. Fossen, T. I. Handbook of Marine Craft Hydrodynamics and Motion Control / T. I. Fossen. – John Wiley & Sons, Ltd., 2011. – 596 p.110. Fossen, T. I.
Passive Nonlinear Оbserver Design for Ships Using Lyapunov366Methods: Experimental Results with a Supply Vessel / T. I. Fossen, J. P. Strand //Automatica. – 1999. – Vol. 35, No. 1. – P. 3-16.111. Fossen, T. I. On uniform semiglobal exponential stability (USGES) of proportional line-of-sight guidance laws / T. I. Fossen, K. Y. Pettersen // Automatica. –2014. – Vol. 50, No.
11. – P. 2912-2917.112. Francis, B. A. A course in H∞ control theory / B. A. Francis. – LectureNotes in Control and Information Sciences. – Vol. 88. – Berlin: Springer-Verlag, 1987.– 156 p.113. Francis, B. A. Linear control theory with an H∞ optimality criterion /B. A. Francis, J. C. Doyle // SIAM J. Control and Optimization. – 1987. – Vol. 25. –P. 815-844.114. Fredriksen, E. Global K-exponential way-point maneuvering of ships: Theory and Experiments / E. Fredriksen, K. Y. Pettersen // Automatica.
– 2006. – Vol. 42,No. 4. – P. 677-687.115. Furuta, K. Swing-up time analysis of pendulum / K. Furuta, M. Iwase //Bulletin of the Polish Academy of Sciences: Technical Sciences. – 2004. – Vol. 52,№ 3. – P. 153-163.116. Glover, K. A state-space approach to H∞ optimal control / K. Glover,J. Doyle // Three decades of mathematical systems theory: A collection of surveys at theoccasion of the 50th birthday of Jan C.
Willems. Lecture notes in control and information sciences. Vol. 135 / ed. By H. Nijmeijer, J. M. Schumacher. – Berlin: SpringerVerlag, 1989. – p. 179-218.117. Grüne, L. Nonlinear Model Predictive Control / L. Grüne, J. Pannek. –London: Springer Verlag, 2011. – 360 p.118. Hagiwara, H. Weather routing of (sail-assisted) motor vessels: PhD Thesis/ H. Hagiwara. – Delft: Technical University of Delft, 1989. – 337 p.119. Hartley, R. Multiple view geometry in computer vision / R.
Hartley,A. Zisserman. – 2nd ed. – Cambridge University Press, 2004. – 672 p.120. Hendricks, E. Linear Systems Control: Deterministic and Stochastic Me-367thods / E. Hendricks, O. Jannerup, P. H. Sorensen. – Berlin: Springer-Verlag, 2008. –555 p.121. Herrero, E. R. Two-step identification of non-linear manoeuvring modelsof marine vessels / E.
R. Herrero, F. J. V. Gonzalez // Ocean Engineering. – 2012. –Vol. 53. – P. 72-82.122. Hung, Y. S. RH∞-optimal control. Part I. Model matching. Part II. Solutionfor controllers / Y. S. Hung // International Journal of Control. – 1989. – Vol. 49, No. 4.– P. 1291-1359.123. Isidori, A. Nonlinear Control Systems / A. Isidori. – 3rd ed.
– London:Springer Verlag, 1995. – 549 p.124. James, R. W. Application of wave forecast to marine navigation / R. W.James. – Washington, D. C.: US Navy Hydrographic Office, 1957. – 78 p.125. Kallstrom, C. G. Experiences of system identification applied to ship steering / C. G. Kallstrom, K. J. Astrom // Automatica.
– 1981. – Vol. 17, No. 1. –P. 187-198.126. Kalman, R. E. A new approach to linear filtering and prediction problems /R. E. Kalman // Journal of Basic Engineering. – Vol. 82. – P. 35-45.127. Kalman, R. E. Contributions to the theory of optimal control / R. E.Kalman // Boletin de la Sociedad Matematica Mexicana. – 1960. – Vol. 5. – P.
102-119.128. Kargoneckar, P. P. H∞ optimal control with state-feedback / P. P.Kargoneckar, I. R. Peterson, M. A. Rotea // IEEE Transactions on Automatic Control. –1988. – Vol. 33. – P. 786-788.129. Khalil, H. K. Nonlinear systems / H. K. Khalil. – 3rd ed. – NJ: PrenticeHall, 2002. – 750 p.130. Kouvaritakis, B. Model Predictive Control: Classical, Robust and Stochastic / B. Kouvaritakis, M. Cannon. – Springer International Publishing, 2016.
– 384 p.131. Krener, A. J. Nonlinear observers with linearizable error dynamics / A. J.Krener, W. Respondek // SIAM Journal on Control and Optimization. – 1985. – Vol.23, № 2. – С. 197-216.368132. Landau, I. D. Digital Control Systems: Design, Identification and Implementation / I. D. Landau, G. Zito. – London: Springer-Verlag, 2006. – 484 p.133.
Ljung, L. System identification: theory for the user / L. Ljung. – 2nd ed. –NJ: Prentice Hall, 1999. – 672 p.134. Loria, A. A Separation Principle for Dynamic Positioning of Ships: Theoretical and Experimental Results / A. Loria, T. I. Fossen, E. Panteley // IEEE Transactions of Control Systems Technology. – 2000. – Vol. 8, No. 2. – P. 332-343.135. Lowe, D. G.
Distinctive image features from scale-invariant keypoints /D. G. Lowe // International Journal of Computer Vision. – 2004. – Vol. 2, No. 60. – P.91-110.136. Maciejowski, J. M. Predictive Control with Constraints / J. M.Maciejowski. – London: Prentice Hall, 2002. – 331 p.137. MAGLEV: Magnetic Levitation Plant. User Manual. – Quanser Inc. –Ontario, Canada, 2006. – 18 p.138. Constrained model predictive control: Stability and optimality /D.Q. Mayne [et al.] // Automatica.
– 2000. – Vol. 36, Issue 6. – P. 789-814.139. Nesterov, Y. Interior-point polynomial algorithms in convex programming/ Y. Nesterov, A. Nemirovski. – Philadelphia: SIAM, 1994. – 405 p.140. Nikulchev, E. Identification of Structural Model for Chaotic Systems /E. Nikulchev, O. Kozlov // Journal of Modern Physics. – 2013. – Vol. 4, No. 10. –P. 1381-1392.141. Nikulchev, E.
V. Reconstruction models for attractors in the technical andeconomic processes / E. V. Nikulchev // International Journal of Computer Trends andTechnology. – 2013. – Vol. 6, № 3. – P. 171-175.142. A visual servoing approach for autonomous corridor following and doorway passing in a wheelchair / F. Pasteau [et al.] // Assistance and Service Robotics in aHuman Environment. – 2016. – Vol.
75, Part A. – P. 28-40.143. Perez, T. Ship Motion Control: Course Keeping and Roll Stabilisation using Rudder and Fins / T. Perez. – London: Springer-Verlag, 2005. – 300 p.369144. Perez, T. Practical aspects of frequency-domain identification of dynamicmodels of marine structures from hydrodynamic data / T. Perez, T. I.
Fossen // OceanEngineering. – 2011. – Vol. 38, № 2-3. – P. 426-435.145. The mathematical theory of optimal processes / L. S. Pontryagin,V. G. Boltyanskii, R. V. Gamkerelidze, E. F. Mischenko. – New York: John Wiley,1962. – 360 p.146. Prime, H. Modern concepts in control theory / H. Prime.
– London:McGraw-Hill, 1969. – 202 p.147. Qin, S. J. An overview of subspace identification / S. J. Qin // Computersand Chemical Engineering. – 2006. – Vol. 30, Issues 10-12. – P. 1502-1513.148. Model Predictive Heuristic Control: Application to Industrial Processes /J. Richalet [et al.] // Automatica. – 1978. – Vol. 14, Issue 5.
– P. 413-428.149. Rosenwasser, E. N. Computer Controlled Systems. Analysis and Designwith Process-orientated Models / E. N. Rosenwasser, B. P. Lampe. – London: SpringerVerlag, 2000. – 486 p.150. Rosenwasser, E. N. Multivariable Computer-controlled Systems. A Transfer Function Approach / E. N. Rosenwasser, B. P. Lampe.
– London: Springer-Verlag,2006. – 478 p.151. Rossiter, J. A. Model-Based Predictive Control: A Practical Approach /J. A. Rossiter. – Boca Raton: CRC Press, 2003. – 318 p.152. Ruscio, D. Model Predictive Control and optimization / D. Ruscio. –Lecture Notes for a course of the Telemark University College, 2001.
– 176 p.153. Sami Fadali, M. Digital Control Engineering: Analysis and Design /M. Sami Fadali, A. Visioli. – Burlington: Academic Press, 2009. – 552 p.154. Handbook of Robotics / ed. by B. Siciliano, O. Khatib. – Berlin: SpringerVerlag, 2008. – 1628 p.155. Robotics: modelling, planning and control / B. Siciliano, L. Sciavicco,L. Villani, G. Oriolo. – London: Springer-Verlag, 2009. – 644 p.156. Slotine, J.
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