05060nam 22006975 450 991029977590332120250609112009.04-431-55303-710.1007/978-4-431-55303-8(CKB)3710000000378108(EBL)2095383(SSID)ssj0001465762(PQKBManifestationID)11821061(PQKBTitleCode)TC0001465762(PQKBWorkID)11478114(PQKB)11291470(DE-He213)978-4-431-55303-8(MiAaPQ)EBC2095383(PPN)184890403(MiAaPQ)EBC3108640(EXLCZ)99371000000037810820150319d2015 u| 0engur|n|---|||||txtccrTime Series Modeling for Analysis and Control Advanced Autopilot and Monitoring Systems /by Kohei Ohtsu, Hui Peng, Genshiro Kitagawa1st ed. 2015.Tokyo :Springer Japan :Imprint: Springer,2015.1 online resource (127 p.)JSS Research Series in Statistics,2364-0065Description based upon print version of record.4-431-55302-9 Includes bibliographical references at the end of each chapters and index.Ch1 Introduction (1.1 Necessity of Statistical Modeling for Complex, Large Systems -- 1.2 Model of Ship Motion and Main Engine -- 1.3 Experimental Ships and Outline of Topics Discussed in Remaining Chapters) -- Ch2 Time Series Analysis through AR Modeling (2.1 Univariate Time Series Analysis through AR Modeling -- 2.2 Analysis of Ship Motion through Univariate AR Modeling -- 2.3 Multivariate AR Modeling of Controlled Systems -- 2.4 Power Contribution Analysis of a Feedback System -- 2.5 State-Space Model and Kalman Filter -- 2.6 Piecewise Stationary Modeling -- 2.7 Model-Based Monitoring System -- 2.8 RBF-ARX Modeling for a Nonlinear System) -- Ch3 Design of a Model-Based Autopilot System for Course Keeping Motion (3.1 Statistical Optimal Controller Based on the ARX Model -- 3.2 AR Model-Based Autopilot System -- 3.3 Rudder-Roll Control System -- 3.4 Application to the Marine Main Engine Governor System) -- Ch4 Advanced Autopilot Systems (4.1 Noise-Adaptive Autopilot System -- 4.2 RBF-ARX Model-Based Predictive Control -- 4.3 GPS Signal-Based Computation of a Ship’s Tracking Error and Course Deviation -- 4.4 Tracking Control Approach to Marine Vehicles).This book presents multivariate time series methods for the analysis and optimal control of feedback systems. Although ships’ autopilot systems are considered through the entire book, the methods set forth in this book can be applied to many other complicated, large, or noisy feedback control systems for which it is difficult to derive a model of the entire system based on theory in that subject area. The basic models used in this method are the multivariate autoregressive model with exogenous variables (ARX) model and the radial bases function net-type coefficients ARX model. The noise contribution analysis can then be performed through the estimated autoregressive (AR) model and various types of autopilot systems can be designed through the state–space representation of the models. The marine autopilot systems addressed in this book include optimal controllers for course-keeping motion, rolling reduction controllers with rudder motion, engine governor controllers, noise adaptive autopilots, route-tracking controllers by direct steering, and the reference course-setting approach. The methods presented here are exemplified with real data analysis and experiments on real ships. This book is highly recommended to readers who are interested in designing optimal or adaptive controllers not only of ships but also of any other complicated systems under noisy disturbance conditions.JSS Research Series in Statistics,2364-0065StatisticsMathematical statisticsData processingStatisticsStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesStatistics and ComputingStatistical Theory and MethodsStatistics.Mathematical statisticsData processing.Statistics.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Statistics and Computing.Statistical Theory and Methods.519.55Ohtsu Koheiauthttp://id.loc.gov/vocabulary/relators/aut755707Peng Huiauthttp://id.loc.gov/vocabulary/relators/autKitagawa Genshiroauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299775903321Time Series Modeling for Analysis and Control2521519UNINA01353nam0 22003493i 450 PUV043727220251003044313.020011115d1946 ||||0itac50 baitaitz01i xxxe z01nˆLo ‰Stato democratico moderno nella dottrina e nella legislazione costituzionalePaolo Biscaretti di RuffiaMilanoGiuffre1946XII, 753 p.25 cm.SC/ICC 28/12/94CFIV032524DemocraziaFIRCFIC008732EDiritto costituzionaleFIRCFIC000969EStatoFIRCFIC008872E320.1STATO20321.8FORME DEMOCRATICHE20321.8FORME DEMOCRATICHE21Biscaretti di Ruffìa, Paolo <1912-1996>CFIV03252407068686ITIT-00000020011115IT-BN0095 IT-CE0127 NAP 01V $NAP CTF. C. TESC$PUV0437272Biblioteca Centralizzata di Ateneo1 v. 01V (S) 000 725 01S 0009007255 VMA 1 v.Y 2014050920140509 01 CTStato democratico moderno nella dottrina e nella legislazione costituzionale66041UNISANNIO