Switching and Learning in Feedback Systems
Springer Berlin (Verlag)
978-3-540-24457-8 (ISBN)
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.
Erscheint lt. Verlag | 31.1.2005 |
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Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | X, 346 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 544 g |
Themenwelt | Informatik ► Software Entwicklung ► User Interfaces (HCI) |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
Schlagworte | Algorithmic Learning • algorithms • Bayesian modeling • Calculus • Complexity • control systems • Dynamic systems • Feedback systems • Gaussian processes • learning • machine learning • Modeling • Monte Carlo simulation • multi-agent control • Multi-agent Systems • networked control • Non-Para • Non-Parametric Statistics • Optimization • switching theory • Uncertain systems • Uncertainty |
ISBN-10 | 3-540-24457-3 / 3540244573 |
ISBN-13 | 978-3-540-24457-8 / 9783540244578 |
Zustand | Neuware |
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