Overview

Modeling, Control And Optimization Of Complex Systems is a collection of contributions from leading international researchers in the fields of dynamic systems, control theory, and modeling. These papers were presented at the Symposium on Modeling and Optimization of Complex Systems in honor of Larry Yu-Chi Ho in June 2001. They include exciting research topics such as: -modeling of complex systems, -power control in ad hoc wireless networks, -adaptive control using multiple models, -constrained control, -linear quadratic control, -discrete events, -Markov decision processes and reinforcement learning, -optimal control for discrete event and hybrid systems, -optimal representation and visualization of multivariate data and functions in low-dimensional spaces.

Full Product Details

Author:   Weibo Gong ,  Leyuan Shi
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2003
Volume:   14
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.498kg
ISBN:  

9781461354116

ISBN 10:   1461354110
Pages:   304
Publication Date:   24 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 Optimal Representation and Visualization of Multivariate Data and Functions in Low-Dimensional Spaces.- 2 Modeling of Complex Systems.- 3 Power Control in ad hoc Wireless Networks: An Architectural Solution for a Melee of Multiple Agents, Cost Criteria), and Information Pattern.- 4 Some Examples of Optimal Control.- 5 Adaptive Control Using Multiple Models: A Methodology.- 6 Constrained Control: Poly topic Techniques.- 7 An Introduction to Constrained Control.- 8 On Feasibility of Interplanetary Travel: The Flight from Earth to Mars and Back.- 9 Linear Quadratic Control Revisited.- 10 Discrete Events: Timetables, Capacity Questions, and Planning Issues for Railway Systems.- 11 A Sensitivity View of Markov Decision Processes and Reinforcement Learning.- 12 Optimal Control for Discrete Event and Hybrid Systems.

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