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020 _a9783540305606
_9978-3-540-30560-6
024 7 _a10.1007/b105497
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
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072 7 _aUYA
_2thema
082 0 4 _a004.0151
_223
245 1 0 _aSwitching and Learning in Feedback Systems
_h[electronic resource] :
_bEuropean Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, Revised Lectures and Selected Papers /
_cedited by Roderick Murray-Smith, Robert Shorten.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aX, 346 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v3355
505 0 _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.
520 _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.
650 0 _aComputer science.
_99832
650 0 _aComputer simulation.
_95106
650 0 _aArtificial intelligence.
_93407
650 0 _aComputers, Special purpose.
_946653
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aMathematical statistics.
_99597
650 0 _aDynamical systems.
_9166473
650 1 4 _aTheory of Computation.
_9166474
650 2 4 _aComputer Modelling.
_9166475
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aSpecial Purpose and Application-Based Systems.
_946654
650 2 4 _aProbability and Statistics in Computer Science.
_931857
650 2 4 _aDynamical Systems.
_9166476
700 1 _aMurray-Smith, Roderick.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9166477
700 1 _aShorten, Robert.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540244578
776 0 8 _iPrinted edition:
_z9783540807292
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v3355
_9166480
856 4 0 _uhttps://doi.org/10.1007/b105497
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