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001452108 001__ 1452108
001452108 003__ OCoLC
001452108 005__ 20230310003341.0
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001452108 008__ 230110s2022\\\\sz\a\\\\ob\\\\001\0\eng\d
001452108 019__ $$a1355564947$$a1356007054$$a1357116951$$a1366295601
001452108 020__ $$a9783031193460$$q(electronic bk.)
001452108 020__ $$a3031193466$$q(electronic bk.)
001452108 020__ $$z9783031193453
001452108 020__ $$z3031193458
001452108 0247_ $$a10.1007/978-3-031-19346-0$$2doi
001452108 035__ $$aSP(OCoLC)1357157292
001452108 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dSTF$$dEBLCP$$dOCLCQ$$dN$T$$dGZN
001452108 049__ $$aISEA
001452108 050_4 $$aHE336.C64
001452108 08204 $$a388.3/142015118$$223/eng/20230130
001452108 1001_ $$aYu, Huan$$c(Of Hong Kong University of Science and Technology),$$eauthor.
001452108 24510 $$aTraffic congestion control by PDE backstepping /$$cHuan Yu, Miroslav Krstic.
001452108 264_1 $$aCham :$$bBirkhäuser,$$c2022.
001452108 300__ $$a1 online resource :$$billustrations (black and white, and color).
001452108 336__ $$atext$$btxt$$2rdacontent
001452108 337__ $$acomputer$$bc$$2rdamedia
001452108 338__ $$aonline resource$$bcr$$2rdacarrier
001452108 4901_ $$aSystems & control
001452108 504__ $$aIncludes bibliographical references and index.
001452108 5050_ $$aIntroduction -- Backstepping for Coupled Hyperbolic PDEs -- Part I: Basic Backstepping Control of Freeway Traffic -- Stabilization of ARZ Model with Known Parameters and Fundamental Diagram -- Observer Validation on Freeway Data -- Adaptive Control of ARZ Traffic Model -- Event-Triggered Control of ARZ Model -- Comparison of Backstepping with Reinforcement Learning -- Part II: Advanced Backstepping for Traffic Flows -- Two-Lane Traffic Control -- Two-Class Traffic Control -- Control of Two-Cascaded Freeway Segments -- Estimation of Freeway Diverge Flows -- Control under Routing-Induced Instability -- Bilateral Regulation of Moving Shock Position -- Extremum Seeking of Downstream Bottleneck.
001452108 506__ $$aAccess limited to authorized users.
001452108 520__ $$aThis monograph explores the design of controllers that suppress oscillations and instabilities in congested traffic flow using PDE backstepping methods. The first part of the text is concerned with basic backstepping control of freeway traffic using the Aw-Rascle-Zhang (ARZ) second-order PDE model. It begins by illustrating a basic control problem suppressing traffic with stop-and-go oscillations downstream of ramp metering before turning to the more challenging case for traffic upstream of ramp metering. The authors demonstrate how to design state observers for the purpose of stabilization using output-feedback control. Experimental traffic data are then used to calibrate the ARZ model and validate the boundary observer design. Because large uncertainties may arise in traffic models, adaptive control and reinforcement learning methods are also explored in detail. Part II then extends the conventional ARZ model utilized until this point in order to address more complex traffic conditions: multi-lane traffic, multi-class traffic, networks of freeway segments, and driver use of routing apps. The final chapters demonstrate the use of the Lighthill-Whitham-Richards (LWR) first-order PDE model to regulate congestion in traffic flows and to optimize flow through a bottleneck. In order to make the text self-contained, an introduction to the PDE backstepping method for systems of coupled first-order hyperbolic PDEs is included. Traffic Congestion Control by PDE Backstepping is ideal for control theorists working on control of systems modeled by PDEs and for traffic engineers and applied scientists working on unsteady traffic flows. It will also be a valuable resource for researchers interested in boundary control of coupled systems of first-order hyperbolic PDEs.
001452108 588__ $$aDescription based on print version record.
001452108 650_0 $$aTraffic congestion$$xMathematical models.
001452108 650_0 $$aAutomatic control.
001452108 655_0 $$aElectronic books.
001452108 7001_ $$aKrstić, Miroslav,$$eauthor.$$1https://isni.org/isni/0000000121465905
001452108 77608 $$iPrint version:$$aYu, Huan.$$tTraffic congestion control by PDE backstepping.$$dCham : Springer, 2022$$z9783031193453$$w(OCoLC)1348391291
001452108 830_0 $$aSystems & control.
001452108 852__ $$bebk
001452108 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-19346-0$$zOnline Access$$91397441.1
001452108 909CO $$ooai:library.usi.edu:1452108$$pGLOBAL_SET
001452108 980__ $$aBIB
001452108 980__ $$aEBOOK
001452108 982__ $$aEbook
001452108 983__ $$aOnline
001452108 994__ $$a92$$bISE