LEADER 05745nam 22007935 450 001 996465773203316 005 20230222055939.0 010 $a3-540-30560-2 024 7 $a10.1007/b105497 035 $a(CKB)1000000000212700 035 $a(SSID)ssj0000254583 035 $a(PQKBManifestationID)11191638 035 $a(PQKBTitleCode)TC0000254583 035 $a(PQKBWorkID)10208630 035 $a(PQKB)10713643 035 $a(DE-He213)978-3-540-30560-6 035 $a(MiAaPQ)EBC3068278 035 $a(PPN)123091616 035 $a(EXLCZ)991000000000212700 100 $a20100702d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSwitching and Learning in Feedback Systems$b[electronic resource] $eEuropean Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, Revised Lectures and Selected Papers /$fedited by Roderick Murray-Smith, Robert Shorten 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (X, 346 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3355 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-24457-3 320 $aIncludes bibliographical references and index. 327 $aSwitching and Control -- From Feedback Control to Complexity Management: A Personal Perspective -- Convex Cones, Lyapunov Functions, and the Stability of Switched Linear Systems -- Survey of Explicit Approaches to Constrained Optimal Control -- Gaussian Processes -- Analysis of Some Methods for Reduced Rank Gaussian Process Regression -- Filtered Gaussian Processes for Learning with Large Data-Sets -- Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models -- Gaussian Processes: Prediction at a Noisy Input and Application to Iterative Multiple-Step Ahead Forecasting of Time-Series -- Nonlinear Predictive Control with a Gaussian Process Model -- Applications of Switching & Learning -- Control of Yaw Rate and Sideslip in 4-Wheel Steering Cars with Actuator Constraints -- A Second-Order Cone Bounding Algorithm for Robust Minimum Variance Beamforming -- Joint Optimization of Wireless Communication and Networked Control Systems -- Reconciliation of Inconsistencies in the Theory of Linear Systems -- An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning -- Simultaneous Localization and Surveying with Multiple Agents -- Hex: Dynamics and Probabilistic Text Entry. 330 $aA central theme in the study of dynamic systems is the modelling and control of uncertain systems. While ?uncertainty? has long been a strong motivating factor behind many techniques developed in the modelling, control, statistics and mathematics communities, the past decade, in particular, has witnessed remarkable progress in this area with the emergence of a number of powerful newmethodsforbothmodellingandcontrollinguncertaindynamicsystems. The speci?c objective of this book is to describe and review some of these exciting new approaches within a single volume. Our approach was to invite some of the leading researchers in this area to contribute to this book by submitting both tutorial papers on their speci?c area of research, and to submit more focussed research papers to document some of the latest results in the area. We feel that collecting some of the main results together in this manner is particularly important as many of the important ideas that emerged in the past decade were derived in a variety of academic disciplines. By providing both tutorial and researchpaperswehopetobeabletoprovidetheinterestedreaderwithsu?cient background to appreciate some of the main concepts from a variety of related, but nevertheless distinct ?elds, and to provide a ?avor of how these results are currently being used to cope with ?uncertainty. ? It is our sincere hope that the availability of these results within a single volume will lead to further cro- fertilization of ideas and act as a spark for further research in this important area of applied mathematics. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3355 606 $aComputer science 606 $aComputer simulation 606 $aArtificial intelligence 606 $aComputers, Special purpose 606 $aComputer science?Mathematics 606 $aMathematical statistics 606 $aDynamical systems 606 $aTheory of Computation 606 $aComputer Modelling 606 $aArtificial Intelligence 606 $aSpecial Purpose and Application-Based Systems 606 $aProbability and Statistics in Computer Science 606 $aDynamical Systems 615 0$aComputer science. 615 0$aComputer simulation. 615 0$aArtificial intelligence. 615 0$aComputers, Special purpose. 615 0$aComputer science?Mathematics. 615 0$aMathematical statistics. 615 0$aDynamical systems. 615 14$aTheory of Computation. 615 24$aComputer Modelling. 615 24$aArtificial Intelligence. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aProbability and Statistics in Computer Science. 615 24$aDynamical Systems. 676 $a629.8/3 702 $aMurray-Smith$b Roderick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShorten$b Robert$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465773203316 996 $aSwitching and Learning in Feedback Systems$9772791 997 $aUNISA