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