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Switching and Learning in Feedback Systems European Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, Revised Lectures and Selected Papers /

A 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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Murray-Smith, Roderick (Editor ), Shorten, Robert (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Theoretical Computer Science and General Issues, 3355
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Switching 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.