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1 Introduction to Modeling and Control of Complex Systems 1

Petros Ioannou and Andreas Pitsillides

2 Control of Complex Systems Using Neural Networks 13

Kumpati S. Narendra, Matthias J. Feiler, and Zhiling Tian

3 Modeling and Control Problems in Building

Structures and Bridges 99

Sami F. Masri and Anastasios G. Chassiakos

4 Model-Free Adaptive Dynamic Programming Algorithms

for H-Infinity Conttol of Complex Linear Systems 131

Asma Al- Tamimi, Murad Abu-Khalaf, and Frank L. Lewis

5 Optimization and Distributed Control for Fair Data

Gathering in Wireless Sensor Networks 161

Avinash Sridharan and Bhaskar Krishnamachari

6 Optimization Problems in the Deployment

of Sensor Networks 179

Christos G. Cassandras and Wei Li

7 congestio)control in Computer Networks 203

Marios Lestas, Andreas Pitsillides, and Petros Ioannou

8 Persistent Autonomous Formations

and Cohesive Motion Control 247

BaYl§ Fidan, Brian D. O. Anderson, Changbin Yu,

and Julien M. Hendrickx

9 MQ.deling and Control of Unmanned Aerial Vehicles:

Current Status and Future Directions 277

Grrge Vachtsevanos, Panos Antsaklis, and Kimon P. Valavanis

10 A Framework for Large-Scale Multi-Robot Teams 297

Andrew Drenner and Nikolaos Papanikolopoulos

11 Modeling and Control in Cancer Genomics 339

Aniruddha Datta, Ashish Choudhary, Michael L. Bittner,

and Edward R. Dougherty

12 Modeling and Estimation Problems

in the Visuomotor Pathway 0 367

Bijoy K. Ghosh, Wenxue Wang, and Zachary V. Freudenburg

13 Modeling, Simulation, and Control of Transportation Systems 407

Petros Ioannou, Yun Wang, and Hwan Chang

14 Backstepping Controllers for Stabilization

of Turbulent Flow PDEs 439

Miroslav Krstic, Jennie Cochran, and Rafael Vazquez

15 An Approach to Home Automation by Means

of MAS Theory 461

Giuseppe Conte and David Scaradozzi

16 Multi-Robot Social Group-Based Search Algorithms 485

Bud Fox, Wee Tiong Ong, Heow Pueh Lee, and Albert Y. Zomaya

Index 509

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알라딘제공
Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying to understand possible solutions and applications.

Modeling and Control of Complex Systems brings together a number of research experts to present some of their latest approaches and future research directions in a language accessible to system theorists. Contributors discuss complex systems such as networks for modeling and control of civil structures, vehicles, robots, biomedical systems, fluid flow systems, and home automation systems. Each chapter provides theoretical and methodological descriptions of a specific application in the control of complex systems, including congestion control in computer networks, autonomous multi-robot docking systems, modeling and control in cancer genomics, and backstepping controllers for stabilization of turbulent flow PDEs.

With this unique reference, you will discover how complexity is dealt with in different disciplines and learn about the latest methodologies, which are applicable to your own specialty. The balanced mix of theory and simulation presented by Modeling and Control of Complex Systems supplies a strong vehicle for enlarging your knowledge base a fueling future advances and incredible breakthroughs.

There is an emerging interest in the area of modeling and control of complex systems for applications in many engineering and non-engineering fields such as biology, transportation, robotics, information technology, and communications. This text provides a pioneering, single-source compilation of material from internationally renowned experts with different approaches to the applications of modeling and control of complex systems. Sections cover complex systems, biological systems, communication networks, sensor networks and automation, autonomous vehicles and robotics, transportation systems and structures, and others. The authors highlight the most important areas of research, the latest advances, and possible future directions.