Recent Advances in Learning and Control

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...

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Další autoři: Kimura, Hidenori, 1941- (Editor), Boyd, Stephen P., 1958-...., professeur en ingénierie (Editor), Blondel, Vincent (Editor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: London : Springer London 2008.
Cham : Springer Nature
Edice:Lecture Notes in Control and Information Sciences 371
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Edition sous un autre format:• Recent Advances in Learning and Control, Texte imprimé, 9781848007161
• Recent advances in learning and control, Vincent D. Blondel, Stephen P. Boyd, Hidenori Kimura (eds.), London, Springer, 2008, 1 vol. (xii-277 p.), Lecture notes in control and information sciences, 978-1-8480-0154-1
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  • 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.