LEADER 03272nam 2200577 450 001 9910825848403321 005 20230124194201.0 010 $a1-5017-5749-0 010 $a1-60909-217-1 024 7 $a10.1515/9781501757495 035 $a(CKB)3710000001423697 035 $a(OCoLC)953636155 035 $a(MdBmJHUP)muse56551 035 $a(MiAaPQ)EBC4903976 035 $a(Au-PeEL)EBL4903976 035 $a(CaPaEBR)ebr11462758 035 $a(OCoLC)993535603 035 $a(DE-B1597)572401 035 $a(DE-B1597)9781501757495 035 $a(EXLCZ)993710000001423697 100 $a20171201h20172017 uy 0 101 0 $aeng 135 $aur|||||||nn|n 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRevisions and dissents $eessays /$fPaul E. Gottfried 210 1$aDekalb, [Illinois] :$cNorthern Illinois University Press,$d2017. 210 4$dİ2017 215 $a1 online resource (pages cm) 300 $aIncludes index. 311 $a0-87580-762-3 327 $aReminiscences -- Robert Nisbet : conservative sociologist -- Defining right and left -- The problem of historical connections -- Liberal democracy as a God term -- Origins of the state -- Reexamining the conservative legacy -- Whig history revisited -- The European Union election, 2014 -- The English Constitution reconsidered -- Redefining classes -- Did Mussolini have a Pope? -- Heidegger and Strauss : a comparative study -- Explaining Trump. 330 $aPaul Gottfried's critical engagement with political correctness is well known. The essays in Revisions and Dissents focus on a range of topics in European intellectual and political history, social theory, and the history of modern political movements. With subjects as varied as Robert Nisbet, Whig history, the European Union election of 2014, and Donald Trump, the essays are tied together by their strenuous confrontation with historians and journalists whose claims about the past no longer receive critical scrutiny. According to Gottfried, successful writers on historical topics take advantage of political orthodoxy and/or widespread ignorance to present questionable platitudes as self-evident historical judgments. New research ceases to be of importance in determining accepted interpretations. What remains decisive, Gottfried maintains, is whether the favored view fits the political and emotional needs of what he calls "verbalizing elites." In this highly politicized age, Gottfried argues, it is necessary to re-examine these prevalent interpretations of the past. He does so in this engaging volume, which will appeal to general readers interested in political and intellectual history.   606 $aConservatism 606 $aLiberalism 606 $aRight and left (Political science) 606 $aPolitical science$xPhilosophy 615 0$aConservatism. 615 0$aLiberalism. 615 0$aRight and left (Political science) 615 0$aPolitical science$xPhilosophy. 676 $a320.5 700 $aGottfried$b Paul$0872498 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910825848403321 996 $aRevisions and dissents$93948698 997 $aUNINA LEADER 04720nam 2200913Ia 450 001 9910962885403321 005 20240912151758.0 010 $a9786612458200 010 $a9786612935756 010 $a9781680158977 010 $a168015897X 010 $a9781282458208 010 $a1282458205 010 $a9781282935754 010 $a1282935755 010 $a9781400831470 010 $a1400831474 010 $a9780691141954 010 $a0691141959 024 7 $a10.1515/9781400831470 035 $a(CKB)2550000000007546 035 $a(EBL)483500 035 $a(OCoLC)609855940 035 $a(SSID)ssj0000358952 035 $a(PQKBManifestationID)11925424 035 $a(PQKBTitleCode)TC0000358952 035 $a(PQKBWorkID)10378914 035 $a(PQKB)11435001 035 $a(DE-B1597)446779 035 $a(OCoLC)979835075 035 $a(DE-B1597)9781400831470 035 $a(Au-PeEL)EBL483500 035 $a(CaPaEBR)ebr10364752 035 $a(CaONFJC)MIL293575 035 $a(Au-PeEL)EBL4968545 035 $a(CaONFJC)MIL245820 035 $a(OCoLC)741250474 035 $z(PPN)199244367 035 $a(PPN)187953694 035 $a(FR-PaCSA)88838005 035 $a(MiAaPQ)EBC483500 035 $a(MiAaPQ)EBC4968545 035 $a(Perlego)734792 035 $a(FRCYB88838005)88838005 035 $a(EXLCZ)992550000000007546 100 $a20090212d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDistributed control of robotic networks $ea mathematical approach to motion coordination algorithms /$fFrancesco Bullo, Jorge Cortes, Sonia Martinez 205 $aCourse Book 210 $aPrinceton, NJ $cPrinceton University Press$d2009 215 $a1 online resource (333 p.) 225 1 $aPrinceton series in applied mathematics 300 $aDescription based upon print version of record. 320 $aIncludes bibliographical references and index. 327 $t Frontmatter -- $tContents -- $tPreface -- $tChapter One. An introduction to distributed algorithms -- $tChapter Two. Geometric models and optimization -- $tChapter Three. Robotic network models and complexity notions -- $tChapter Four. Connectivity maintenance and rendezvous -- $tChapter Five. Deployment -- $tChapter Six. Boundary estimation and tracking -- $tBibliography -- $tAlgorithm Index -- $tSubject Index -- $tSymbol Index 330 $aThis self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control theory. The book presents a broad set of tools for understanding coordination algorithms, determining their correctness, and assessing their complexity; and it analyzes various cooperative strategies for tasks such as consensus, rendezvous, connectivity maintenance, deployment, and boundary estimation. The unifying theme is a formal model for robotic networks that explicitly incorporates their communication, sensing, control, and processing capabilities--a model that in turn leads to a common formal language to describe and analyze coordination algorithms. Written for first- and second-year graduate students in control and robotics, the book will also be useful to researchers in control theory, robotics, distributed algorithms, and automata theory. The book provides explanations of the basic concepts and main results, as well as numerous examples and exercises. Self-contained exposition of graph-theoretic concepts, distributed algorithms, and complexity measures for processor networks with fixed interconnection topology and for robotic networks with position-dependent interconnection topology Detailed treatment of averaging and consensus algorithms interpreted as linear iterations on synchronous networks Introduction of geometric notions such as partitions, proximity graphs, and multicenter functions Detailed treatment of motion coordination algorithms for deployment, rendezvous, connectivity maintenance, and boundary estimation 410 0$aPrinceton series in applied mathematics. 606 $aRobotics 606 $aComputer algorithms 606 $aRobots$xControl systems 615 0$aRobotics. 615 0$aComputer algorithms. 615 0$aRobots$xControl systems. 676 $a629.8/9246 686 $aSK 880$2rvk 700 $aBullo$b Francesco$0496801 701 $aCortes$b Jorge$f1974-$01797736 701 $aMartinez$b Sonia$f1974-$01797737 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910962885403321 996 $aDistributed control of robotic networks$94340176 997 $aUNINA LEADER 03567nam 22005175 450 001 9910483180103321 005 20250821115307.0 010 $a981-13-0083-6 024 7 $a10.1007/978-981-13-0083-7 035 $a(CKB)4100000005679187 035 $a(MiAaPQ)EBC5493435 035 $a(DE-He213)978-981-13-0083-7 035 $a(EXLCZ)994100000005679187 100 $a20180814d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModel Predictive Control $eApproaches Based on the Extended State Space Model and Extended Non-minimal State Space Model /$fby Ridong Zhang, Anke Xue, Furong Gao 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (xv, 137 pages) $cillustrations 311 08$a981-13-0082-8 327 $aIntroduction -- Model Predictive Control Based on Extended State Space Model -- Predictive Functional Control Based on Extended State Space Model -- Model Predictive Control Based on Extended Non-Minimal State Space Model -- Predictive Functional Control Based on Extended Non-minimal State Space Model -- Model Predictive Control Under Constraints -- PID Control Using Extended Non-minimal State Space Model Optimization -- Closed-loop System Performance Analysis -- Model Predictive Control Performance Optimized by Genetic Algorithm -- Industrial Application -- Further Ideas on MPC and PFC Using Relaxed Constrained Optimization. 330 $aThis monograph introduces the authors? work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering. . 606 $aSystems theory 606 $aMathematical optimization 606 $aControl and Systems Theory$3http://scigraph.springernature.com/things/product-market-codes/T19010 606 $aSystems Theory, Control$3http://scigraph.springernature.com/things/product-market-codes/M13070 606 $aCalculus of Variations and Optimal Control; Optimization$3http://scigraph.springernature.com/things/product-market-codes/M26016 606 $aEnergy Efficiency$3http://scigraph.springernature.com/things/product-market-codes/118000 615 0$aSystems theory. 615 0$aMathematical optimization. 615 14$aControl and Systems Theory. 615 24$aSystems Theory, Control. 615 24$aCalculus of Variations and Optimal Control; Optimization. 615 24$aEnergy Efficiency. 676 $a629.8 700 $aZhang$b Ridong$4aut$4http://id.loc.gov/vocabulary/relators/aut$01227251 702 $aXue$b Anke$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGao$b Furong$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910483180103321 996 $aModel Predictive Control$92849648 997 $aUNINA