LEADER 04698oam 22012614 450 001 9910788223803321 005 20230721045724.0 010 $a1-4623-5374-6 010 $a1-4518-7385-9 010 $a1-4527-0465-1 010 $a1-282-84439-3 010 $a9786612844393 035 $a(CKB)3170000000055380 035 $a(SSID)ssj0000942131 035 $a(PQKBManifestationID)11585701 035 $a(PQKBTitleCode)TC0000942131 035 $a(PQKBWorkID)10972022 035 $a(PQKB)10257164 035 $a(OCoLC)680613638 035 $a(MiAaPQ)EBC1605955 035 $a(IMF)WPIEE2009238 035 $a(EXLCZ)993170000000055380 100 $a20020129d2009 uf 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMonetary Policy Analysis and Forecasting in the World Economy : $eA Panel Unobserved Components Approach /$fFrancis Vitek 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2009. 215 $a42 p. $cill 225 1 $aIMF Working Papers 300 $a"October 2009." 311 $a1-4519-1803-8 330 3 $aThis paper develops a panel unobserved components model of the monetary transmission mechanism in the world economy, disaggregated into its fifteen largest national economies. This structural macroeconometric model features extensive linkages between the real and financial sectors, both within and across economies. A variety of monetary policy analysis and forecasting applications of the estimated model are demonstrated, based on a novel Bayesian framework for conditioning on judgment. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2009/238 606 $aMonetary policy$xEconometric models 606 $aBusiness cycles$xEconometric models 606 $aBanks and Banking$2imf 606 $aForeign Exchange$2imf 606 $aInflation$2imf 606 $aProduction and Operations Management$2imf 606 $aBayesian Analysis: General$2imf 606 $aMultiple or Simultaneous Equation Models: Models with Panel Data$2imf 606 $aModel Construction and Estimation$2imf 606 $aForecasting and Other Model Applications$2imf 606 $aPrice Level$2imf 606 $aDeflation$2imf 606 $aBusiness Fluctuations$2imf 606 $aCycles$2imf 606 $aFinancial Markets and the Macroeconomy$2imf 606 $aMonetary Policy$2imf 606 $aOpen Economy Macroeconomics$2imf 606 $aInterest Rates: Determination, Term Structure, and Effects$2imf 606 $aMacroeconomics: Production$2imf 606 $aMacroeconomics$2imf 606 $aFinance$2imf 606 $aCurrency$2imf 606 $aForeign exchange$2imf 606 $aShort term interest rates$2imf 606 $aOutput gap$2imf 606 $aReal effective exchange rates$2imf 606 $aLong term interest rates$2imf 606 $aFinancial services$2imf 606 $aProduction$2imf 606 $aPrices$2imf 606 $aInterest rates$2imf 606 $aEconomic theory$2imf 607 $aUnited States$2imf 615 0$aMonetary policy$xEconometric models. 615 0$aBusiness cycles$xEconometric models. 615 7$aBanks and Banking 615 7$aForeign Exchange 615 7$aInflation 615 7$aProduction and Operations Management 615 7$aBayesian Analysis: General 615 7$aMultiple or Simultaneous Equation Models: Models with Panel Data 615 7$aModel Construction and Estimation 615 7$aForecasting and Other Model Applications 615 7$aPrice Level 615 7$aDeflation 615 7$aBusiness Fluctuations 615 7$aCycles 615 7$aFinancial Markets and the Macroeconomy 615 7$aMonetary Policy 615 7$aOpen Economy Macroeconomics 615 7$aInterest Rates: Determination, Term Structure, and Effects 615 7$aMacroeconomics: Production 615 7$aMacroeconomics 615 7$aFinance 615 7$aCurrency 615 7$aForeign exchange 615 7$aShort term interest rates 615 7$aOutput gap 615 7$aReal effective exchange rates 615 7$aLong term interest rates 615 7$aFinancial services 615 7$aProduction 615 7$aPrices 615 7$aInterest rates 615 7$aEconomic theory 700 $aVitek$b Francis$01485142 712 02$aInternational Monetary Fund.$bStrategy, Policy, and Review Dept. 801 0$bDcWaIMF 906 $aBOOK 912 $a9910788223803321 996 $aMonetary Policy Analysis and Forecasting in the World Economy$93741542 997 $aUNINA LEADER 04061nam 2200493 450 001 9910813585903321 005 20200923195442.7 010 $a1-119-21316-9 010 $a1-5231-3281-7 010 $a1-119-21317-7 010 $a1-119-21315-0 035 $a(CKB)4330000000009332 035 $a(MiAaPQ)EBC5890647 035 $a(PPN)251030113 035 $a(CaSebORM)9781119212867 035 $a(EXLCZ)994330000000009332 100 $a20191001d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAutonomous mobile robots and multi-robot systems $emotion-planning, communication and swarming /$fedited by Eugene Kagan, Nir Shvalb, Irad Ben-Gal 205 $a1st edition 210 1$aHoboken, New Jersey ;$aChichester, West Sussex, England :$cWiley,$d[2020] 210 4$dİ2020 215 $a1 online resource (343 pages) 311 $a1-119-21286-3 327 $aMotion-planning schemes in global coordinates -- Basic perception -- Motion in the global coordinates -- Motion in potential field and navigation function -- GNSS and robot localization -- Motion in local coordinates -- Motion in unknown environment -- Energy limitations and energetic efficiency of mobile robots -- Multi-robot systems and swarming -- Collective motion with shared environment map -- Collective motion with direct and indirect communication -- Brownian motion and swarm dynamics -- Conclusions. 330 $aOffers a theoretical and practical guide to the communication and navigation of autonomous mobile robots and multi-robot systems This book covers the methods and algorithms for the navigation, motion planning, and control of mobile robots acting individually and in groups. It addresses methods of positioning in global and local coordinates systems, off-line and on-line path-planning, sensing and sensors fusion, algorithms of obstacle avoidance, swarming techniques and cooperative behavior. The book includes ready-to-use algorithms, numerical examples and simulations, which can be directly implemented in both simple and advanced mobile robots, and is accompanied by a website hosting codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming consists of four main parts. The first looks at the models and algorithms of navigation and motion planning in global coordinates systems with complete information about the robot?s location and velocity. The second part considers the motion of the robots in the potential field, which is defined by the environmental states of the robot's expectations and knowledge. The robot's motion in the unknown environments and the corresponding tasks of environment mapping using sensed information is covered in the third part. The fourth part deals with the multi-robot systems and swarm dynamics in two and three dimensions. Provides a self-contained, theoretical guide to understanding mobile robot control and navigation Features implementable algorithms, numerical examples, and simulations Includes coverage of models of motion in global and local coordinates systems with and without direct communication between the robots Supplemented by a companion website offering codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming is an excellent tool for researchers, lecturers, senior undergraduate and graduate students, and engineers dealing with mobile robots and related issues. 606 $aMobile robots$xAutomatic control 615 0$aMobile robots$xAutomatic control. 676 $a629.8932 700 $aKagan$b Eugene$01618446 702 $aKagan$b Eugene 702 $aShvalb$b Nir 702 $aBen-Gal$b Irad 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910813585903321 996 $aAutonomous mobile robots and multi-robot systems$93950175 997 $aUNINA