Recent Advances in Learning and Control

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Blondel, Vincent D. (Επιμελητής έκδοσης), Boyd, Stephen P. (Επιμελητής έκδοσης), Kimura, Hidenori (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2008.
• Σειρά: Lecture Notes in Control and Information Sciences, 371
• Θέματα: Engineering.; System theory.; Probabilities.; Control engineering.; Robotics.; Mechatronics.; Electrical engineering.; Biomedical engineering.; Control.; Control, Robotics, Mechatronics.; Systems Theory, Control.; Probability Theory and Stochastic Processes.; Communications Engineering, Networks.; Biomedical Engineering.

This volume is composed of invited papers on learning and control. The contents form the proceedings of a workshop held in January 2008, in Hyderabad, that honoured the 60th birthday of Doctor Mathukumalli Vidyasagar. The 14 papers, written by international specialists in the field, cover a variety...

Πίνακας περιεχομένων:

• Statistical Learning Theory: A Pack-based Strategy for Uncertain Feasibility and Optimization Problems
• UAV Formation Control: Theory and Application
• Electrical and Mechanical Passive Network Synthesis
• Output Synchronization of Nonlinear Systems with Relative Degree One
• On the Computation of Optimal Transport Maps Using Gradient Flows and Multiresolution Analysis
• Realistic Anchor Positioning for Sensor Localization
• Graph Implementations for Nonsmooth Convex Programs
• When Is a Linear Continuous-time System Easy or Hard to Control in Practice?
• Metrics and Morphing of Power Spectra
• A New Type of Neural Computation
• Getting Mobile Autonomous Robots to Form a Prescribed Geometric Arrangement
• Convex Optimization in Infinite Dimensional Spaces
• The Servomechanism Problem for SISO Positive LTI Systems
• Passivity-based Stability of Interconnection Structures
• Identification of Linear Continuous-time Systems Based on Iterative Learning Control
• A Pontryagin Maximum Principle for Systems of Flows
• Safe Operation and Control of Diesel Particulate Filters Using Level Set Methods
• Robust Control of Smart Material-based Actuators
• Behaviors Described by Rational Symbols and the Parametrization of the Stabilizing Controllers.